Tootfinder

Access Control for Information-Theoretically Secure Key-Document Stores
Yin Li, Sharad Mehrota, Shantanu Sharma, Komal Kumari
https://arxiv.org/abs/2507.10730

Access Control for Information-Theoretically Secure Key-Document Stores
This paper presents a novel key-based access control technique for secure outsourcing key-value stores where values correspond to documents that are indexed and accessed using keys. The proposed approach adopts Shamir's secret-sharing that offers unconditional or information-theoretic security. It supports keyword-based document retrieval while preventing leakage of the data, access rights of users, or the size (\textit{i}.\textit{e}., volume of the output that satisfies a query). The proposed …

Viven, which builds AI "digital twins" that grant employees access to crucial information when coworkers are unavailable, emerges from stealth with a $35M seed (Marina Temkin/TechCrunch)
https://techcrunch.com/2025/10/15/e…

Eightfold co-founders raise $35M for Viven, an AI digital twin startup for querying unavailable coworkers | TechCrunch
Viven's seed funding was led by Khosla Ventures and Foundation Capital.

2/2 I continued blogging Alberniweather and on FB and Twitter but I gradually removed my personal self from Facebook and eventually during the Pandemic, I decided the Facebook environment was just too toxic even for weather stuff and I shut down my page and left Facebook completely.
The impact on traffic to Alberniweather.ca and its prominence in the community was, and still is, significant.
I have diehard followers, many who have become friends over the years, I still get the odd call from media, or even the public about random weather things.
I have good connections with a few folks at Environment Canada (though their staff have become thinner and more transient :(
and major events still get spikes of local traffic but I since about 2022, and after I removed myself from Twitter that year, I don’t blog nearly as much. I would do a few posts in a week, and then go months without posting. I just got out of the habit I guess.
But I am still interested in the weather. I still feel like Alberniweather is a useful service for people in my community. I still feel a willing obligation to inform people about the weather and I believe I am trusted to do so by the public and local leaders. I’ve never made any money at it, I sold ad space on the website for a few years but it wasn’t worth the hassle and I didn’t feel comfortable taking the money when I was councillor. I have had some generous spontaneous donations at times.
But mainly I do it because it’s interesting, and I hope it is useful for people especially when people are looking for information during a major event.
The highest traffic I have ever had on Alberniweather pre-FB exit was the local Dog Mountain forest fire in 2015.
post-FB exit: the #underwoodfire
People want easy access to reliable local, trusted, information.
Large media orgs have mostly given up on this.
I am grateful we still have an active local newspaper and radio and that both trust me and I trust them.
@… @…

Securing AI Agents: Implementing Role-Based Access Control for Industrial Applications
Aadil Gani Ganie
https://arxiv.org/abs/2509.11431 https://arxiv.org/…

Securing AI Agents: Implementing Role-Based Access Control for Industrial Applications
The emergence of Large Language Models (LLMs) has significantly advanced solutions across various domains, from political science to software development. However, these models are constrained by their training data, which is static and limited to information available up to a specific date. Additionally, their generalized nature often necessitates fine-tuning -- whether for classification or instructional purposes -- to effectively perform specific downstream tasks. AI agents, leveraging LLMs …

DeepMMSearch-R1: Empowering Multimodal LLMs in Multimodal Web Search
Kartik Narayan, Yang Xu, Tian Cao, Kavya Nerella, Vishal M. Patel, Navid Shiee, Peter Grasch, Chao Jia, Yinfei Yang, Zhe Gan
https://arxiv.org/abs/2510.12801

DeepMMSearch-R1: Empowering Multimodal LLMs in Multimodal Web Search
Multimodal Large Language Models (MLLMs) in real-world applications require access to external knowledge sources and must remain responsive to the dynamic and ever-changing real-world information in order to address information-seeking and knowledge-intensive user queries. Existing approaches, such as retrieval augmented generation (RAG) methods, search agents, and search equipped MLLMs, often suffer from rigid pipelines, excessive search calls, and poorly constructed search queries, which resu…

“The Maha report is essentially a distraction from the real causes of poor health,”
said Elizabeth Jacobs, professor emerita at the University of Arizona and a founding member of Defend Public Health.
“This administration does not want to address things like poverty and education and access to healthcare.
Instead, they’re distracting the public with information on solutions to problems that don’t actually exist.
When the foundation of your policy is not evidence-based…

BeCyberSmart: How Fast Can a Hacker Break YOUR Password? | Oberlin College and Conservatory
https://www.oberlin.edu/cit/bulletins/passwords-matter

Flip side of this: ~3 years ago, I got automated calls from “RBC Visa”. I ignored them.
Then my card stopped working.
So I called the number on the back of my card and said as much.
The agent gave me a hard time: “So you JUST IGNORED our calls about this?”
“No; I didn’t know they were you calling.”
“How did you not know they were us?! It says ‘this is RBC Visa’ when you answer!”
“That’s indistinguishable from fraud.”
He did not like that. He thought …

Required to access usage dashboard
Older versions may consume allocation without notice
Essential for managing pricing plans
🌍 Billing Notes
💸 Tax Information
Prices exclude applicable taxes (VAT, sales tax)
Japanese billing addresses subject to Consumption Tax
Tax amount depends on billing address and Tax ID
📅 Usage Policy
Monthly limits reset at billing cycle start
No rollover of unused requests
Individual subscriptions only (team bi…

Observing Spacetime
Vijay Balasubramanian, Tom Yildirim
https://arxiv.org/abs/2509.09763 https://arxiv.org/pdf/2509.09763

Observing Spacetime
Complex states of quantum gravity in flat and AdS gravity can have features that are inaccessible to classical asymptotic observers. The missing information appears to such observers to be hidden behind a horizon or in a baby universe. Here we use the gravitational path integral to ask whether quantum observables can access the hidden data. We show that generic probes give a universal result and contain no information about the state. However, a probe appropriately fine-tuned to the state can g…

Demonstrating Narrative Pattern Discovery from Biomedical Literature
Hermann Kroll, Pascal Sackhoff, Bill Matthias Thang, Christin Katharina Kreutz, Wolf-Tilo Balke
https://arxiv.org/abs/2509.09687

Demonstrating Narrative Pattern Discovery from Biomedical Literature
Digital libraries maintain extensive collections of knowledge and need to provide effective access paths for their users. For instance, PubPharm, the specialized information service for Pharmacy in Germany, provides and develops access paths to their underlying biomedical document collection. In brief, PubPharm supports traditional keyword-based search, search for chemical structures, as well as novel graph-based discovery workflows, e.g., listing or searching for interactions between different…

MH-LVC: Multi-Hypothesis Temporal Prediction for Learned Conditional Residual Video Coding
Huu-Tai Phung, Zong-Lin Gao, Yi-Chen Yao, Kuan-Wei Ho, Yi-Hsin Chen, Yu-Hsiang Lin, Alessandro Gnutti, Wen-Hsiao Peng
https://arxiv.org/abs/2510.12479

MH-LVC: Multi-Hypothesis Temporal Prediction for Learned Conditional Residual Video Coding
This work, termed MH-LVC, presents a multi-hypothesis temporal prediction scheme that employs long- and short-term reference frames in a conditional residual video coding framework. Recent temporal context mining approaches to conditional video coding offer superior coding performance. However, the need to store and access a large amount of implicit contextual information extracted from past decoded frames in decoding a video frame poses a challenge due to excessive memory access. Our MH-LVC ov…

Age of Information-Aware Cognitive Shared Access Networks with Energy Harvesting
Georgios Smpokos, Dionysis Xenakis, Marios Kountouris, Nikolaos Pappas
https://arxiv.org/abs/2510.11198

Age of Information-Aware Cognitive Shared Access Networks with Energy Harvesting
This study investigates a cognitive shared access network with energy harvesting capabilities operating under Age of Information (AoI) constraints for the primary user. Secondary transmitters are spatially distributed according to a homogeneous Poisson Point Process (PPP), while the primary user is located at a fixed position. The primary transmitter handles bursty packet arrivals, whereas secondary users operate under saturated traffic conditions. To manage interference and energy, two distinc…

For sites that complain about me running ad blockers. How do you know I am running them? Could it be you are running intrusive scripts trying to vacuum out as much information about me so you can sell it?
I run ads blockers just for that reason. I have no problems with ads. Some sites also respect me, and I have minimal to no blocking enabled for them.
No to your cookies.
No to your knowing my location.
No to your wanting access to my contacts.
You can block me…

LF: Online Multi-Robot Path Planning Meets Optimal Trajectory Control
Ajay Shankar, Keisuke Okumura, Amanda Prorok
https://arxiv.org/abs/2507.11464 https:/…

LF: Online Multi-Robot Path Planning Meets Optimal Trajectory Control
We propose a multi-robot control paradigm to solve point-to-point navigation tasks for a team of holonomic robots with access to the full environment information. The framework invokes two processes asynchronously at high frequency: (i) a centralized, discrete, and full-horizon planner for computing collision- and deadlock-free paths rapidly, leveraging recent advances in multi-agent pathfinding (MAPF), and (ii) dynamics-aware, robot-wise optimal trajectory controllers that ensure all robots in…

A Vision for Access Control in LLM-based Agent Systems
Xinfeng Li, Dong Huang, Jie Li, Hongyi Cai, Zhenhong Zhou, Wei Dong, XiaoFeng Wang, Yang Liu
https://arxiv.org/abs/2510.11108

A Vision for Access Control in LLM-based Agent Systems
The autonomy and contextual complexity of LLM-based agents render traditional access control (AC) mechanisms insufficient. Static, rule-based systems designed for predictable environments are fundamentally ill-equipped to manage the dynamic information flows inherent in agentic interactions. This position paper argues for a paradigm shift from binary access control to a more sophisticated model of information governance, positing that the core challenge is not merely about permission, but about…

US Health and Human Services centralized medical database – Uh oh
 
This week the Health and Human Services (HHS) agency and the Centers for Medicare and Medicaid Services (CMS) are announcing an initiative to create a centralized database of individual’s health information. The stated rationale for this effort is to improve access to innovative health solutions and improve user access and security. A part of this initiative will include updates to the HIPAA regulations. The effort…

Soft-Decoding Reverse Reconciliation in Discrete-Modulation CV-QKD
Marco Origlia, Marco Secondini
https://arxiv.org/abs/2510.10674 https://arxiv.org/pdf/25…

Soft-Decoding Reverse Reconciliation in Discrete-Modulation CV-QKD
In continuous-variable quantum key distribution, information reconciliation is required to extract a shared secret key from correlated random variables obtained through the quantum channel. Reverse reconciliation (RR) is generally preferred, since the eavesdropper has less information about Bob's measurements than about Alice's transmitted symbols. When discrete modulation formats are employed, however, soft information is available only at Bob's side, while Alice has access only to hard inform…

An Incentive-Compatible Reward Sharing Mechanism for Mitigating Mirroring Attacks in Decentralized Data-Feed Systems
Sina Aeeneh, Nikola Zlatanov, Jiangshan Yu
https://arxiv.org/abs/2509.11294

An Incentive-Compatible Reward Sharing Mechanism for Mitigating Mirroring Attacks in Decentralized Data-Feed Systems
Decentralized data-feed systems enable blockchain-based smart contracts to access off-chain information by aggregating values from multiple oracles. To improve accuracy, these systems typically use an aggregation function, such as majority voting, to consolidate the inputs they receive from oracles and make a decision. Depending on the final decision and the values reported by the oracles, the participating oracles are compensated through shared rewards. However, such incentive mechanisms are v…

System Password Security: Attack and Defense Mechanisms
Chaofang Shi, Zhongwen Li, Xiaoqi Li
https://arxiv.org/abs/2510.10246 https://arxiv.org/pdf/2510.10…

System Password Security: Attack and Defense Mechanisms
System passwords serve as critical credentials for user authentication and access control when logging into operating systems or applications. Upon entering a valid password, users pass verification to access system resources and execute corresponding operations. In recent years, frequent password cracking attacks targeting system passwords have posed a severe threat to information system security. To address this challenge, in-depth research into password cracking attack methods and defensive …

Aggregate Modeling of Air-Conditioner Loads Under Packet-based Control with Both On and Off Grid Access Requests
Mohammad Hassan, Mads R. Almassalkhi
https://arxiv.org/abs/2510.10651

Aggregate Modeling of Air-Conditioner Loads Under Packet-based Control with Both On and Off Grid Access Requests
Coordination of distributed energy resources (DERs) can engender flexibility necessary to improve grid reliability. Packetized Energy Management (PEM) is a method for coordinating DERs, such as thermostatically controlled loads (TCLs) and electric vehicles, within customer quality-of-service (QoS) limits. In PEM, a DER uses local information to offer flexibility by sending a request to the DER coordinator to turn-ON or turn-OFF. Much work has focused on modeling and analyzing aggregations of DE…

All for One: LLMs Solve Mental Math at the Last Token With Information Transferred From Other Tokens
Siddarth Mamidanna, Daking Rai, Ziyu Yao, Yilun Zhou
https://arxiv.org/abs/2509.09650

All for One: LLMs Solve Mental Math at the Last Token With Information Transferred From Other Tokens
Large language models (LLMs) demonstrate proficiency across numerous computational tasks, yet their inner workings remain unclear. In theory, the combination of causal self-attention and multilayer perceptron layers allows every token to access and compute information based on all preceding tokens. In practice, to what extent are such operations present? In this paper, on mental math tasks (i.e., direct math calculation via next-token prediction without explicit reasoning), we investigate this …

Robo-Advisors Beyond Automation: Principles and Roadmap for AI-Driven Financial Planning
Runhuan Feng, Hong Li, Ming Liu
https://arxiv.org/abs/2509.09922 https://

Robo-Advisors Beyond Automation: Principles and Roadmap for AI-Driven Financial Planning
Artificial intelligence (AI) is transforming financial planning by expanding access, lowering costs, and enabling dynamic, data-driven advice. Yet without clear safeguards, digital platforms risk reproducing longstanding market inefficiencies such as information asymmetry, misaligned incentives, and systemic fragility. This paper develops a framework for responsible AI in financial planning, anchored in five principles: fiduciary duty, adaptive personalization, technical robustness, ethical and…

Expert Incentives under Partially Contractible States
Zizhe Xia
https://arxiv.org/abs/2508.10170 https://arxiv.org/pdf/2508.10170

Expert Incentives under Partially Contractible States
I study whether and which expert incentives can be provided at what cost when the states of the world become non-contractible, but there is some noisy observation about the states that can be contracted upon. A principal hires an agent to acquire costly information about the states, but it is not possible to pay the agent based on the realized states. Instead, the principal has access to a noisy (Blackwell) experiment about the states, and can pay bonuses based on its realization. The agent is …

Designing for Disclosure in Data Visualizations
Krisha Mehta, Gordon Kindlmann, Alex Kale
https://arxiv.org/abs/2508.08383 https://arxiv.org/pdf/2508.08383…

Designing for Disclosure in Data Visualizations
Visualizing data often entails data transformations that can reveal and hide information, operations we dub disclosure tactics. Whether designers hide information intentionally or as an implicit consequence of other design choices, tools and frameworks for visualization offer little explicit guidance on disclosure. To systematically characterize how visualizations can limit access to an underlying dataset, we contribute a content analysis of 425 examples of visualization techniques sampled from…

The Mechanical Yes-Man: Emancipatory AI Pedagogy in Higher Education
Linda Rocco
https://arxiv.org/abs/2510.10176 https://arxiv.org/pdf/2510.10176

The Mechanical Yes-Man: Emancipatory AI Pedagogy in Higher Education
The proliferation of Large Language Models in higher education presents a fundamental challenge to traditional pedagogical frameworks. Drawing on Jacques Rancière's theory of intellectual emancipation, this paper examines how generative AI risks becoming a "mechanical yes-man" that reinforces passivity rather than fostering intellectual autonomy. Generative AI's statistical logic and lack of causal reasoning, combined with frictionless information access, threatens to hollow out cognitive proc…

TalkPlayData 2: An Agentic Synthetic Data Pipeline for Multimodal Conversational Music Recommendation
Keunwoo Choi, Seungheon Doh, Juhan Nam
https://arxiv.org/abs/2509.09685 htt…

TalkPlayData 2: An Agentic Synthetic Data Pipeline for Multimodal Conversational Music Recommendation
We present TalkPlayData 2, a synthetic dataset for multimodal conversational music recommendation generated by an agentic data pipeline. In TalkPlayData 2 pipeline, multiple large language model (LLM) agents are created under various roles with specialized prompts and access to different parts of information, and the chat data is acquired by logging the conversation between the Listener LLM and the Recsys LLM. To cover various conversation scenarios, for each conversation, the Listener LLM is c…

Innovating Augmented Reality Security: Recent E2E Encryption Approaches
Hamish Alsop, Leandros Maglaras, Helge Janicke, Iqbal H. Sarker, Mohamed Amine Ferrag
https://arxiv.org/abs/2509.10313

Innovating Augmented Reality Security: Recent E2E Encryption Approaches
End-to-end encryption (E2EE) has emerged as a fundamental element of modern digital communication, protecting data from unauthorized access during transmission. By design, E2EE ensures that only the intended recipient can decrypt the information, making it inaccessible even to service providers. Yet, this powerful safeguard of individual privacy and digital trust also introduces a paradox: it can simultaneously prevent law enforcement efforts by hiding potential malicious activities. This paper…

Computational access to lattice and long-wavelength physics in quantum mutual information
Patrick M. Lenggenhager, M. Michael Denner, Doruk Efe G\"okmen, Maciej Koch-Janusz, Titus Neupert, Mark H. Fischer
https://arxiv.org/abs/2510.02466

Computational access to lattice and long-wavelength physics in quantum mutual information
Quantum mutual information is an important tool for characterizing correlations in quantum many-body systems, but its numerical evaluation is often prohibitively expensive. While some variants of Rényi Mutual Information (RMI) are computationally more tractable, it is not clear whether they correctly capture the long-wavelength physics or are dominated by UV effects, which is of key importance in lattice simulations. We analyze the relevance of lattice effects on the family of $α$-$z$ Rényi …

Access to Kupyansk closed, residents evacuate on foot: https://benborges.xyz/2025/09/28/access-to-kupyansk-closed-residents.html

The Defense Department says that journalists "are not required to submit their writings" before publication, in a revised draft of restrictions for press access (Erik Wemple/New York Times)
https://www.nytimes.com/2025/10/06/business/media/trum…

Pentagon Relaxes Press Access Rules
Under new guidelines, journalists will not need approval from the Defense Department before publishing articles containing information not officially released.

A security researcher said
flaws in a carmaker’s online dealership portal
exposed the private information
and vehicle data of its customers,
and could have allowed hackers to remotely break into any of its customers’ vehicles.
Eaton Zveare, who works as a security researcher at software delivery company Harness,
told TechCrunch the flaw he discovered
allowed the creation of an admin account
that granted “unfettered access” to the unnamed carma…

Security flaws in a carmaker's web portal let one hacker remotely unlock cars from anywhere | TechCrunch
Security researcher Eaton Zveare told TechCrunch that the flaws he discovered in the carmaker's centralized dealer portal exposed vast access to customer and vehicle data. With this access, Zveare said he could remotely take over a customer's account and unlock their cars, and more.

Towards Precise Channel Knowledge Map: Exploiting Environmental Information from 2D Visuals to 3D Point Clouds
Yancheng Wang, Chuan Huang, Songyang Zhang, Guanying Chen, Wei Guo, Shenglun Lan, Lexi Xu, Xinzhou Cheng, Xiongyan Tang, Shuguang Cui
https://arxiv.org/abs/2510.08140

Towards Precise Channel Knowledge Map: Exploiting Environmental Information from 2D Visuals to 3D Point Clouds
The substantial communication resources consumed by conventional pilot-based channel sounding impose an unsustainable overhead, presenting a critical scalability challenge for the future 6G networks characterized by massive channel dimensions, ultra-wide bandwidth, and dense user deployments. As a generalization of radio map, channel knowledge map (CKM) offers a paradigm shift, enabling access to location-tagged channel information without exhaustive measurements. To fully utilize the power of …

Replaced article(s) found for cs.IT. https://arxiv.org/list/cs.IT/new
[1/1]:
- On the Capacity of Vector Linear Computation over a Noiseless Quantum Multiple Access Channel wit...
Yuhang Yao, Syed A. Jafar

Imgur has started blocking access to its site from UK users after the Information Commissioner’s Office (ICO) threatened to fine the company over its advertising and data collection policies.
https://www.computing.co.uk/news/2025/legi

Imgur shuts down website to UK users over threat of fines from the ICO
Imgur has started blocking access to its site from UK users after the Information Commissioner’s Office (ICO) threatened to fine the company over its advertising ...

"Microsoft can't protect French data from US government access"
#microsoft

Microsoft can't protect French data from US government access
Company admits under oath that American authorities can demand European citizen information despite security promises.

Digital Iran Reloaded: Gamer Mitigation Tactics of IRI Information Controls
Melinda Cohoon
https://arxiv.org/abs/2509.09063 https://arxiv.org/pdf/2509.0906…

Digital Iran Reloaded: Gamer Mitigation Tactics of IRI Information Controls
Internet censorship in the Islamic Republic of Iran restricts access to global platforms and services, forcing users to rely on circumvention technologies such as VPNs, proxies, and tunneling tools. This report presents findings from a mixed-methods study of 660 Iranian internet users, with a focus on gamers as a digitally literate and socially networked community. Survey data are combined with network measurements of latency and VPN performance to identify both technical and social strategies …

Let’s be crystal clear about what this law actually accomplishes: It makes it harder for adults to access perfectly legal (and often helpful) information and services. It forces people to create detailed trails of their online activit…

Didn’t Take Long To Reveal The UK’s Online Safety Act Is Exactly The Privacy-Crushing Failure Everyone Warned About
Well, well, well. The “age assurance” part of the UK’s Online Safety Act has finally gone into effect, with its age checking requirements kicking in a week and a half ago. And what do you kno…

Let’s be crystal clear about what this law actually accomplishes: It makes it harder for adults to access perfectly legal (and often helpful) information and services. It forces people to create detailed trails of their online activit…

Didn’t Take Long To Reveal The UK’s Online Safety Act Is Exactly The Privacy-Crushing Failure Everyone Warned About
Well, well, well. The “age assurance” part of the UK’s Online Safety Act has finally gone into effect, with its age checking requirements kicking in a week and a half ago. And what do you kno…

Filing: credit reporting giant TransUnion discloses a data breach affecting 4.4M customers' personal info but claims "no credit information was accessed" (Zack Whittaker/TechCrunch)
https://techcrunch.com/2025/08/28/tran

TransUnion says hackers stole 4.4 million customers' personal information | TechCrunch
The credit reporting giant confirmed unauthorized access to a third-party application storing the personal information of its customers.

Towards all-optical spin manipulation in single molecules: a refined region for locating a dark resonance
Robert Smit, Boleslaw Kozankiewicz, Michel Orrit
https://arxiv.org/abs/2508.08835

Towards all-optical spin manipulation in single molecules: a refined region for locating a dark resonance
The on-demand manipulation of triplet states in closed-shell single molecules is still out of reach due to a lack of information about the energy of those triplet states. Yet, the access to triplet states would open up a route towards an all-optical single-molecule photonic switch/transistor and, moreover, would provide a way of performing coherent spin operations from the spin-less ground state. In this work, we take an important step towards those aims by measuring the triplet energy from the…

Automated Creation of the Legal Knowledge Graph Addressing Legislation on Violence Against Women: Resource, Methodology and Lessons Learned
Claudia dAmato, Giuseppe Rubini, Francesco Didio, Donato Francioso, Fatima Zahra Amara, Nicola Fanizzi
https://arxiv.org/abs/2508.06368

Automated Creation of the Legal Knowledge Graph Addressing Legislation on Violence Against Women: Resource, Methodology and Lessons Learned
Legal decision-making process requires the availability of comprehensive and detailed legislative background knowledge and up-to-date information on legal cases and related sentences/decisions. Legal Knowledge Graphs (KGs) would be a valuable tool to facilitate access to legal information, to be queried and exploited for the purpose, and to enable advanced reasoning and machine learning applications. Indeed, legal KGs may act as knowledge intensive component to be used by pre-dictive machine le…

Weak measurement in strong laser field physics
Philipp Stammer, Javier Rivera-Dean, Marcelo F. Ciappina, Maciej Lewenstein
https://arxiv.org/abs/2508.09048 https://

Weak measurement in strong laser field physics
The advantage of attosecond measurements is the possibility of time-resolving ultrafast quantum phenomena of electron dynamics. Many such measurements are of interferometric nature, and therefore give access to the phase. Likewise, weak measurements are intrinsically interferometric and specifically take advantage of interfering probability amplitudes, therefore encoding the phase information of the process. In this work, we show that attosecond interferometry experiments can be seen as a weak …

Pentagon To Reporters: Publish Approved Information Or Lose Access https://thedissenter.org/pentagon-to-reporters-publish-approved-information-or-lose-access/

Rapid event extraction and tensorial event adaption: Libraries for efficient access and generic reweighting of parton-level events and their implementation in the MadtRex module
Stefan Roiser, Robert Sch\"ofbeck, Zenny Wettersten
https://arxiv.org/abs/2510.05100

Rapid event extraction and tensorial event adaption: Libraries for efficient access and generic reweighting of parton-level events and their implementation in the MadtRex module
We present Rex and teaRex, C++17 libraries for efficient management of parton-level hard scattering event information and completely generic reweighting of such events, respectively. Rex is primarily an interfacing and I/O library for Les Houches Event format files and provides an internal event format designed with data parallelism in mind, and teaRex extends this format to provide full parton-level reweighting functionality with minimal code needing to be written by the end user. These librar…

Federal lawmakers sent a letter to the Department of Homeland Security (DHS)
demanding information on any plans Immigration and Customs Enforcement (ICE) has
to use Graphite, a spyware program that can access
— without the owner’s knowledge or consent
— a phone’s location data, photos, and encrypted applications, including WhatsApp and Signal.
Last year, the Biden administration paused the contract with Paragon Solutions, which operates Graphite,
while it …

Lawmakers Demand Information About Potential Use of Paragon Spyware by ICE
The lawmakers warned that allowing ICE to use spyware “threatens Americans’ freedom of movement and freedom of speech.”…

CardRewriter: Leveraging Knowledge Cards for Long-Tail Query Rewriting on Short-Video Platforms
Peiyuan Gong, Feiran Zhu, Yaqi Yin, Chenglei Dai, Chao Zhang, Kai Zheng, Wentian Bao, Jiaxin Mao, Yi Zhang
https://arxiv.org/abs/2510.10095

CardRewriter: Leveraging Knowledge Cards for Long-Tail Query Rewriting on Short-Video Platforms
Short-video platforms have rapidly become a new generation of information retrieval systems, where users formulate queries to access desired videos. However, user queries, especially long-tail ones, often suffer from spelling errors, incomplete phrasing, and ambiguous intent, resulting in mismatches between user expectations and retrieved results. While large language models (LLMs) have shown success in long-tail query rewriting within e-commerce, they struggle on short-video platforms, where p…

Robust Competitive Ratio for Deterministic Monopoly Pricing
Tim S. G. van Eck, Pieter Kleer, Johan S. H. van Leeuwaarden
https://arxiv.org/abs/2509.06619 https://

Robust Competitive Ratio for Deterministic Monopoly Pricing
We study deterministic monopoly pricing under partial knowledge of the market, where the seller has access only to summary statistics of the valuation distribution, such as the mean, dispersion, and maximum value. Using tools from distributionally robust optimization and max-min analysis, we evaluate pricing strategies based on their competitive ratio (CR). We characterize the worst-case market scenario consistent with the available information and provide a complete solution for minimizing the…

Robust Design of Beyond-Diagonal Reconfigurable Intelligent Surface Empowered RSMA-SWIPT System Under Channel Estimation Errors
Muhammad Asif, Zain Ali, Asim Ihsan, Ali Ranjha, Zhu Shoujin, Manzoor Ahmed, Xingwang Li, Symeon Chatzinotas
https://arxiv.org/abs/2508.08097

Robust Design of Beyond-Diagonal Reconfigurable Intelligent Surface Empowered RSMA-SWIPT System Under Channel Estimation Errors
This work explores the integration of rate-splitting multiple access (RSMA), simultaneous wireless information and power transfer (SWIPT), and beyond-diagonal reconfigurable intelligent surface (BD-RIS) to enhance the spectral-efficiency, energy-efficiency, coverage, and connectivity of future sixth-generation (6G) communication networks. Specifically, with a multiuser BD-RIS-empowered RSMA-SWIPT system, we jointly optimize the transmit precoding vectors, the common rate proportion of users, th…

DICOM De-Identification via Hybrid AI and Rule-Based Framework for Scalable, Uncertainty-Aware Redaction
Kyle Naddeo, Nikolas Koutsoubis, Rahul Krish, Ghulam Rasool, Nidhal Bouaynaya, Tony OSullivan, Raj Krish
https://arxiv.org/abs/2507.23736

DICOM De-Identification via Hybrid AI and Rule-Based Framework for Scalable, Uncertainty-Aware Redaction
Access to medical imaging and associated text data has the potential to drive major advances in healthcare research and patient outcomes. However, the presence of Protected Health Information (PHI) and Personally Identifiable Information (PII) in Digital Imaging and Communications in Medicine (DICOM) files presents a significant barrier to the ethical and secure sharing of imaging datasets. This paper presents a hybrid de-identification framework developed by Impact Business Information Solutio…

a16z hires ex-VMware CEO Raghu Raghuram as general partner overseeing AI infrastructure and growth investments and as a managing partner, replacing Scott Kupor (Natasha Mascarenhas/The Information)
https://www.theinformation.com/articles/ben-horow…

Ben Horowitz Hires His ‘Jensen’; Vercel Starts a Venture Fund
Andreessen Horowitz co-founder Ben Horowitz says only a small subset of AI companies, such as portfolio companies Safe Superintelligence Inc. and Thinking Machines Labs, need massive compute contracts. But many AI startups still need help getting access to bottlenecked resources, like chips to ...

Information Bulletin Strategy in Impatient Queuing
Anthony Kiggundu, Bin Han, Hans D. Schotten
https://arxiv.org/abs/2508.04241 https://arxiv.org/pdf/2508.…

Information Bulletin Strategy in Impatient Queuing
In Sixth Generation (6G) networks, decentralized control in multi-tenant systems is a suggested enabler for autonomous network operations. However, autonomy requires independent rationale decisions be taken by tenants. This rationality can only be underpinned by timely and continuous access to status information. Despite its importance, the questions of what information should be shared, how much should be communicated, and how frequently updates should be dispatched remain open research challe…

Instructional Prompt Optimization for Few-Shot LLM-Based Recommendations on Cold-Start Users
Haowei Yang, Yushang Zhao, Sitao Min, Bo Su, Chao Yao, Wei Xu
https://arxiv.org/abs/2509.09066

Instructional Prompt Optimization for Few-Shot LLM-Based Recommendations on Cold-Start Users
The cold-start user issue further compromises the effectiveness of recommender systems in limiting access to the historical behavioral information. It is an effective pipeline to optimize instructional prompts on a few-shot large language model (LLM) used in recommender tasks. We introduce a context-conditioned prompt formulation method P(u,\ Ds)\ \rightarrow\ R\widehat, where u is a cold-start user profile, Ds is a curated support set, and R\widehat is the predicted ranked list of items. Based…

Credit reporting giant TransUnion has disclosed a data breach
affecting more than 4.4 million customers’ personal information.
In a filing with Maine’s attorney general’s office on Thursday, TransUnion attributed the July 28 breach to unauthorized access of a third-party application storing customers’ personal data for its U.S. consumer support operations.
TransUnion claimed “no credit information was accessed,” but provided no immediate evidence for its claim.
The d…

TransUnion says hackers stole 4.4 million customers' personal information | TechCrunch
The credit reporting giant confirmed unauthorized access to a third-party application storing the personal information of its customers, including Social Security numbers.

"Further, outdated rules on the use of cookies and other tracking technologies are still governing the protection of the user’s terminal equipment and the access and collection to information from user’s terminal equipment. This requires pragmatic and immediate clarifications to limit consent fatigue, provide legal clarity on rightful access and processing, and enhanced data availability to businesses."
My fatigue stems more from politics leaving their citizens alone...

As part of my spam this morning, from Indian telecoms provider Airtel: "to find the right information in seconds" 🙄.

AD-NODE: Adaptive Dynamics Learning with Neural ODEs for Mobile Robots Control
Shao-Yi Yu, Jen-Wei Wang, Maya Horii, Vikas Garg, Tarek Zohdi
https://arxiv.org/abs/2510.05443 htt…

AD-NODE: Adaptive Dynamics Learning with Neural ODEs for Mobile Robots Control
Mobile robots, such as ground vehicles and quadrotors, are becoming increasingly important in various fields, from logistics to agriculture, where they automate processes in environments that are difficult to access for humans. However, to perform effectively in uncertain environments using model-based controllers, these systems require dynamics models capable of responding to environmental variations, especially when direct access to environmental information is limited. To enable such adaptiv…

Comparison of Information Retrieval Techniques Applied to IT Support Tickets
Leonardo Santiago Benitez Pereira, Robinson Pizzio, Samir Bonho
https://arxiv.org/abs/2508.05654 htt…

Comparison of Information Retrieval Techniques Applied to IT Support Tickets
Institutions dependent on IT services and resources acknowledge the crucial significance of an IT help desk system, that act as a centralized hub connecting IT staff and users for service requests. Employing various Machine Learning models, these IT help desk systems allow access to corrective actions used in the past, but each model has different performance when applied to different datasets. This work compares eleven Information Retrieval techniques in a dataset of IT support tickets, with t…

Replaced article(s) found for cs.IT. https://arxiv.org/list/cs.IT/new
[1/1]:
- Integrated Sensing and Communications for Unsourced Random Access: Fundamental Limits and Practic...
Mohammad Javad Ahmadi, Rafael F. Schaefer, H. Vincent Poor

The destruction of our country has gone even faster than I had known as El Cheeto makes us bend even more to our corporate, especially AI corporate, masters who want to access all data, all information, everywhere and anywhere, without permission and without paying anything.
"The May Massacre: Firings, AI, and Constitutional Crisis at the Copyright Office"

The May Massacre: Firings, AI, and Constitutional Crisis at the Copyright Office (via Passle)
These are extraordinary times. And this is an extraordinary case. In 2020, Shira Perlmutter was appointed Register of Copyrights by Dr. Carla D. Hayden,...

Adaptive Learning for IRS-Assisted Wireless Networks: Securing Opportunistic Communications Against Byzantine Eavesdroppers
Amirhossein Taherpour, Abbas Taherpour, Tamer Khattab
https://arxiv.org/abs/2508.08206

Adaptive Learning for IRS-Assisted Wireless Networks: Securing Opportunistic Communications Against Byzantine Eavesdroppers
We propose a joint learning framework for Byzantine-resilient spectrum sensing and secure intelligent reflecting surface (IRS)--assisted opportunistic access under channel state information (CSI) uncertainty. The sensing stage performs logit-domain Bayesian updates with trimmed aggregation and attention-weighted consensus, and the base station (BS) fuses network beliefs with a conservative minimum rule, preserving detection accuracy under a bounded number of Byzantine users. Conditioned on the …

I agree, really think twice or just don't... Also think about US government accessing your personal data if they want....
https://techcrunch.com/2025/07/19/for-privacy-and-security-think-twice-before-granting-ai-acces…

For privacy and security, think twice before granting AI access to your personal data | TechCrunch
AI chatbots, assistants and agents are increasingly asking for gross levels of access to your personal data under the guise of needing your information to make them work.

NGOs urge Zelensky to veto bill restricting access to real estate registers: https://benborges.xyz/2025/08/26/ngos-urge-zelensky-to-veto.html

Bi-Level Game-Theoretic Planning of Cyber Deception for Cognitive Arbitrage
Ya-Ting Yang, Quanyan Zhu
https://arxiv.org/abs/2509.05498 https://arxiv.org/pd…

Bi-Level Game-Theoretic Planning of Cyber Deception for Cognitive Arbitrage
Cognitive vulnerabilities shape human decision-making and arise primarily from two sources: (1) cognitive capabilities, which include disparities in knowledge, education, expertise, or access to information, and (2) cognitive biases, such as rational inattention, confirmation bias, and base rate neglect, which influence how individuals perceive and process information. Exploiting these vulnerabilities allows an entity with superior cognitive awareness to gain a strategic advantage, a concept re…

An app just ask permission to access my phone information. WTF? Why do you need that? My answer is NO.
Contact app, phone app are the two I allow that access, no one else needs that.

Every day, some 2 billion people around the world use privacy-protection tools supported by the Open Technology Fund.
When people in China escape their government’s firewalls and censorship software
—now so dense that the system has been called the “locknet”
—or when users in Cuba or Myanmar evade cruder internet blocks,
they can access material written in their own languages and read stories they would otherwise never see.
Both the access and some of the informa…

America Surrenders in the Global Information Wars
The U.S. is reorienting its foreign policy to protect governments that manipulate and suppress information.

Privacy, Informed Consent and the Demand for Anonymisation of Smart Meter Data
Saurab Chhachhi, Fei Teng
https://arxiv.org/abs/2509.00101 https://arxiv.org…

Privacy, Informed Consent and the Demand for Anonymisation of Smart Meter Data
Access to smart meter data offers system-wide benefits but raises significant privacy concerns due to the personal information it contains. Privacy-preserving techniques could facilitate wider access, though they introduce privacy-utility trade-offs. Understanding consumer valuations for anonymisation can help identify appropriate trade-offs. However, existing studies do not focus on anonymisation specifically or account for information asymmetries regarding privacy risks, raising questions abo…

DeepSieve: Information Sieving via LLM-as-a-Knowledge-Router
Minghao Guo, Qingcheng Zeng, Xujiang Zhao, Yanchi Liu, Wenchao Yu, Mengnan Du, Haifeng Chen, Wei Cheng
https://arxiv.org/abs/2507.22050

DeepSieve: Information Sieving via LLM-as-a-Knowledge-Router
Large Language Models (LLMs) excel at many reasoning tasks but struggle with knowledge-intensive queries due to their inability to dynamically access up-to-date or domain-specific information. Retrieval-Augmented Generation (RAG) has emerged as a promising solution, enabling LLMs to ground their responses in external sources. However, existing RAG methods lack fine-grained control over both the query and source sides, often resulting in noisy retrieval and shallow reasoning. In this work, we in…

Language Bias in Information Retrieval: The Nature of the Beast and Mitigation Methods
Jinrui Yang, Fan Jiang, Timothy Baldwin
https://arxiv.org/abs/2509.06195 https://

Language Bias in Information Retrieval: The Nature of the Beast and Mitigation Methods
Language fairness in multilingual information retrieval (MLIR) systems is crucial for ensuring equitable access to information across diverse languages. This paper sheds light on the issue, based on the assumption that queries in different languages, but with identical semantics, should yield equivalent ranking lists when retrieving on the same multilingual documents. We evaluate the degree of fairness using both traditional retrieval methods, and a DPR neural ranker based on mBERT and XLM-R. A…

Look Less, Reason More: Rollout-Guided Adaptive Pixel-Space Reasoning
Xuchen Li, Xuzhao Li, Jiahui Gao, Renjie Pi, Shiyu Hu, Wentao Zhang
https://arxiv.org/abs/2510.01681 https:…

Look Less, Reason More: Rollout-Guided Adaptive Pixel-Space Reasoning
Vision-Language Models (VLMs) excel at many multimodal tasks, yet they frequently struggle with tasks requiring precise understanding and handling of fine-grained visual elements. This is mainly due to information loss during image encoding or insufficient attention to critical regions. Recent work has shown promise by incorporating pixel-level visual information into the reasoning process, enabling VLMs to access high-resolution visual details during their thought process. However, this pixel-…

Enhanced Velocity-Adaptive Scheme: Joint Fair Access and Age of Information Optimization in Vehicular Networks
Xiao Xu, Qiong Wu, Pingyi Fan, Kezhi Wang, Nan Cheng, Wen Chen, Khaled B. Letaief
https://arxiv.org/abs/2507.18328

Enhanced Velocity-Adaptive Scheme: Joint Fair Access and Age of Information Optimization in Vehicular Networks
In this paper, we consider the fair access problem and the Age of Information (AoI) under 5G New Radio (NR) Vehicle-to-Infrastructure (V2I) Mode 2 in vehicular networks. Specifically, vehicles follow Mode 2 to communicate with Roadside Units (RSUs) to obtain accurate data for driving assistance.Nevertheless, vehicles often have different velocity when they are moving in adjacent lanes, leading to difference in RSU dwelltime and communication duration. This results in unfair access to network re…

You Have Been LaTeXpOsEd: A Systematic Analysis of Information Leakage in Preprint Archives Using Large Language Models
Richard A. Dubniczky, Bertalan Borsos, Tihanyi Norbert
https://arxiv.org/abs/2510.03761

You Have Been LaTeXpOsEd: A Systematic Analysis of Information Leakage in Preprint Archives Using Large Language Models
The widespread use of preprint repositories such as arXiv has accelerated the communication of scientific results but also introduced overlooked security risks. Beyond PDFs, these platforms provide unrestricted access to original source materials, including LaTeX sources, auxiliary code, figures, and embedded comments. In the absence of sanitization, submissions may disclose sensitive information that adversaries can harvest using open-source intelligence. In this work, we present the first lar…

Polish president's veto won't threaten Ukraine's Starlink access, Nawrocki's office claims: https://benborges.xyz/2025/08/26/polish-presidents-veto-wont-threaten.html

Model-based Deep Learning for Joint RIS Phase Shift Compression and WMMSE Beamforming
Alexander James Fernandes, Ioannis Psaromiligkos
https://arxiv.org/abs/2510.05438 https://

Model-based Deep Learning for Joint RIS Phase Shift Compression and WMMSE Beamforming
A model-based deep learning (DL) architecture is proposed for reconfigurable intelligent surface (RIS)-assisted multi-user communications to reduce the overhead of transmitting phase shift information from the access point (AP) to the RIS controller. The phase shifts are computed at the AP, which has access to the channel state information, and then encoded into a compressed binary control message that is sent to the RIS controller for element configuration. To help reduce beamformer mismatches…

RAVEN: Realtime Accessibility in Virtual ENvironments for Blind and Low-Vision People
Xinyun Cao, Kexin Phyllis Ju, Chenglin Li, Venkatesh Potluri, Dhruv Jain
https://arxiv.org/abs/2510.06573

RAVEN: Realtime Accessibility in Virtual ENvironments for Blind and Low-Vision People
As virtual 3D environments become prevalent, equitable access is crucial for blind and low-vision (BLV) users who face challenges with spatial awareness, navigation, and interactions. To address this gap, previous work explored supplementing visual information with auditory and haptic modalities. However, these methods are static and offer limited support for dynamic, in-context adaptation. Recent work in generative AI enables users to query and modify 3D scenes via natural language, introducin…

Quantum metrology through spectral measurements in quantum optics
Alejandro Vivas-Via\~na, Carlos S\'anchez Mu\~noz
https://arxiv.org/abs/2509.04300 https://

Quantum metrology through spectral measurements in quantum optics
Continuously monitored quantum systems are emerging as promising platforms for quantum metrology, where a central challenge is to identify measurement strategies that optimally extract information about unknown parameters encoded in the complex quantum state of emitted radiation. Different measurement strategies effectively access distinct temporal modes of the emitted field, and the resulting choice of mode can strongly impact the information available for parameter estimation. While a ubiquit…

VBM-NET: Visual Base Pose Learning for Mobile Manipulation using Equivariant TransporterNet and GNNs
Lakshadeep Naik, Adam Fischer, Daniel Duberg, Danica Kragic
https://arxiv.org/abs/2510.04171

VBM-NET: Visual Base Pose Learning for Mobile Manipulation using Equivariant TransporterNet and GNNs
In Mobile Manipulation, selecting an optimal mobile base pose is essential for successful object grasping. Previous works have addressed this problem either through classical planning methods or by learning state-based policies. They assume access to reliable state information, such as the precise object poses and environment models. In this work, we study base pose planning directly from top-down orthographic projections of the scene, which provide a global overview of the scene while preservi…

Information availability in different languages and various technological constraints related to multilinguism on the Internet
Sonal Khosla, Haridasa Acharya
https://arxiv.org/abs/2508.17918

Information availability in different languages and various technological constraints related to multilinguism on the Internet
The usage of Internet has grown exponentially over the last two decades. The number of Internet users has grown from 16 Million to 1650 Million from 1995 to 2010. It has become a major repository of information catering almost every area. Since the Internet has its origin in USA which is English speaking country there is huge dominance of English on the World Wide Web. Although English is a globally acceptable language, still there is a huge population in the world which is not able to access t…

Simultaneous Information and Control Signalling Protocol for RIS-Empowered Wireless Systems
Evangelos Koutsonas, Xiaonan Mu, Nan Qi, Stylianos Trevlakis, Theodoros A. Tsiftsis, Alexandros-Apostolos A. Boulogeorgos
https://arxiv.org/abs/2508.04185

Simultaneous Information and Control Signalling Protocol for RIS-Empowered Wireless Systems
Integration of RIS in radio access networks requires signaling between edge units and the RIS microcontroller (MC). Unfortunately, in several practical scenarios, the signaling latency is higher than the communication channel coherence time, which causes outdated signaling at the RIS. To counterbalance this, we introduce a simultaneous information and control signaling (SICS) protocol that enables operation adaptation through wireless control signal transmission. SICS assumes that the MC is equ…

Empirical Security Analysis of Software-based Fault Isolation through Controlled Fault Injection
Nils Bars, Lukas Bernhard, Moritz Schloegel, Thorsten Holz
https://arxiv.org/abs/2509.07757

Empirical Security Analysis of Software-based Fault Isolation through Controlled Fault Injection
We use browsers daily to access all sorts of information. Because browsers routinely process scripts, media, and executable code from unknown sources, they form a critical security boundary between users and adversaries. A common attack vector is JavaScript, which exposes a large attack surface due to the sheer complexity of modern JavaScript engines. To mitigate these threats, modern engines increasingly adopt software-based fault isolation (SFI). A prominent example is Google's V8 heap sandbo…

Extracting O*NET Features from the NLx Corpus to Build Public Use Aggregate Labor Market Data
Stephen Meisenbacher, Svetlozar Nestorov, Peter Norlander
https://arxiv.org/abs/2510.01470

Extracting O*NET Features from the NLx Corpus to Build Public Use Aggregate Labor Market Data
Data from online job postings are difficult to access and are not built in a standard or transparent manner. Data included in the standard taxonomy and occupational information database (O*NET) are updated infrequently and based on small survey samples. We adopt O*NET as a framework for building natural language processing tools that extract structured information from job postings. We publish the Job Ad Analysis Toolkit (JAAT), a collection of open-source tools built for this purpose, and demo…

UK to pay for EU defense fund access amidst growing Russia threat, FT reports: https://benborges.xyz/2025/07/22/uk-to-pay-for-eu.html

Collusion-Resistant Quantum Secure Key Leasing Beyond Decryption
Fuyuki Kitagawa, Ryo Nishimaki, Nikhil Pappu
https://arxiv.org/abs/2510.04754 https://arxi…

Collusion-Resistant Quantum Secure Key Leasing Beyond Decryption
Secure key leasing (SKL) enables the holder of a secret key for a cryptographic function to temporarily lease the key using quantum information. Later, the recipient can produce a deletion certificate, which proves that they no longer have access to the secret key. The security guarantee ensures that even a malicious recipient cannot continue to evaluate the function, after producing a valid deletion certificate. Most prior work considers an adversarial recipient that obtains a single leased …

Secure Transmission for Cell-Free Symbiotic Radio Communications with Movable Antenna: Continuous and Discrete Positioning Designs
Bin Lyu, Jiayu Guan, Meng Hua, Changsheng You, Tianqi Mao, Abbas Jamalipour
https://arxiv.org/abs/2508.06868

Secure Transmission for Cell-Free Symbiotic Radio Communications with Movable Antenna: Continuous and Discrete Positioning Designs
In this paper, we study a movable antenna (MA) empowered secure transmission scheme for reconfigurable intelligent surface (RIS) aided cell-free symbiotic radio (SR) system. Specifically, the MAs deployed at distributed access points (APs) work collaboratively with the RIS to establish high-quality propagation links for both primary and secondary transmissions, as well as suppressing the risk of eavesdropping on confidential primary information. We consider both continuous and discrete MA posit…

Enhancing Manufacturing Knowledge Access with LLMs and Context-aware Prompting
Sebastian Monka, Irlan Grangel-Gonz\'alez, Stefan Schmid, Lavdim Halilaj, Marc Rickart, Oliver Rudolph, Rui Dias
https://arxiv.org/abs/2507.22619

Enhancing Manufacturing Knowledge Access with LLMs and Context-aware Prompting
Knowledge graphs (KGs) have transformed data management within the manufacturing industry, offering effective means for integrating disparate data sources through shared and structured conceptual schemas. However, harnessing the power of KGs can be daunting for non-experts, as it often requires formulating complex SPARQL queries to retrieve specific information. With the advent of Large Language Models (LLMs), there is a growing potential to automatically translate natural language queries into…

Noise-Domain Non-Orthogonal Multiple Access for Three Users
Erkin Yapici, Yusuf Islam Tek, Ertugrul Basar
https://arxiv.org/abs/2509.23407 https://arxiv.or…

Noise-Domain Non-Orthogonal Multiple Access for Three Users
In this study, we propose a novel three-user noise-domain non-orthogonal multiple access (ND-NOMA) scheme by introducing the correlation as a new dimension besides mean and variance quantities used in two-user ND-NOMA. The new three-user ND-NOMA scheme includes both uplink and downlink scenarios, with detectors designed to decode the information embedded in mean, variance, and correlation. Our theoretical analysis and simulation results under Rician fading channels show that the proposed system…

Inner-product Functional Encryption with Fine-grained Revocation for Flexible EHR Sharing
Yue Han, Jinguang Han, Liqun Chen, Chao Sun
https://arxiv.org/abs/2509.07804 https://…

Inner-product Functional Encryption with Fine-grained Revocation for Flexible EHR Sharing
E-health record (EHR) contains a vast amount of continuously growing medical data and enables medical institutions to access patient health data conveniently.This provides opportunities for medical data mining which has important applications in identifying high-risk patients and improving disease diagnosis, etc.Since EHR contains sensitive patient information, how to protect patient privacy and enable mining on EHR data is important and challenging.Traditional public key encryption (PKE) can p…

Cooperative Dynamics of Censorship, Misinformation, and Influence Operations: Insights from the Global South and U.S
Zaid Hakami, Yuzhou Feng, Bogdan Carbunar
https://arxiv.org/abs/2509.17933

Cooperative Dynamics of Censorship, Misinformation, and Influence Operations: Insights from the Global South and U.S
Censorship and the distribution of false information, tools used to manipulate what users see and believe, are seemingly at opposite ends of the information access spectrum. Most previous work has examined them in isolation and within individual countries, leaving gaps in our understanding of how these information manipulation tools interact and reinforce each other across diverse societies. In this paper, we study perceptions about the interplay between censorship, false information, and influ…

Proton launches Lumo, an AI chatbot to summarize documents, generate code, and more and says it will protect users' information via "zero-access" encryption (Emma Roth/The Verge)
https://www.theverge.com/news/711860/proton-privacy-focused-ai-chatbot

Proton is launching a privacy-focused AI chatbot
Proton is launching a privacy-focused AI chatbot called Lumo. The chatbot can perform a range of tasks while encrypting chats and keeping them off Proton’s servers. 

Ukrainian hack uncovers 'thousands of files' proving Russia's mass abduction of children, intelligence claims: https://benborges.xyz/2025/07/30/ukrainian-hack-uncovers-thousands-of.html

Case Studies: Effective Approaches for Navigating Cross-Border Cloud Data Transfers Amid U.S. Government Privacy and Safety Concerns
Motunrayo Adebayo
https://arxiv.org/abs/2509.00006

Case Studies: Effective Approaches for Navigating Cross-Border Cloud Data Transfers Amid U.S. Government Privacy and Safety Concerns
This study attempts to explain the impact of information exchange from one country to another, as well as the legal and technological implications for these exchanges. Due to the emergence of cloud technology, possibilities for free exchange of information between countries have increased rapidly, as it has become possible to save information in a country and access it in almost any part of the world. Countries all around the world have been confronted with developing frameworks to facilitate t…

EHR-MCP: Real-world Evaluation of Clinical Information Retrieval by Large Language Models via Model Context Protocol
Kanato Masayoshi, Masahiro Hashimoto, Ryoichi Yokoyama, Naoki Toda, Yoshifumi Uwamino, Shogo Fukuda, Ho Namkoong, Masahiro Jinzaki
https://arxiv.org/abs/2509.15957

EHR-MCP: Real-world Evaluation of Clinical Information Retrieval by Large Language Models via Model Context Protocol
Background: Large language models (LLMs) show promise in medicine, but their deployment in hospitals is limited by restricted access to electronic health record (EHR) systems. The Model Context Protocol (MCP) enables integration between LLMs and external tools. Objective: To evaluate whether an LLM connected to an EHR database via MCP can autonomously retrieve clinically relevant information in a real hospital setting. Methods: We developed EHR-MCP, a framework of custom MCP tools integrate…

Bandits roaming Hilbert space
Josep Lumbreras
https://arxiv.org/abs/2509.24569 https://arxiv.org/pdf/2509.24569

Bandits roaming Hilbert space
This thesis studies the exploration and exploitation trade-off in online learning of properties of quantum states using multi-armed bandits. Given streaming access to an unknown quantum state, in each round we select an observable from a set of actions to maximize its expectation value. Using past information, we refine actions to minimize regret; the cumulative gap between current reward and the maximum possible. We derive information-theoretic lower bounds and optimal strategies with matching…

From One-Dimensional Codes to Two-Dimensional Codes: A Universal Framework for the Bounded-Weight Constraint
Viet Hai Le, Thanh Phong Pham, Tuan Thanh Nguyen, Kui Cai, Kees A. Schouhamer Immink
https://arxiv.org/abs/2509.01240

From One-Dimensional Codes to Two-Dimensional Codes: A Universal Framework for the Bounded-Weight Constraint
Recent developments in storage- especially in the area of resistive random access memory (ReRAM)- are attempting to scale the storage density by regarding the information data as two-dimensional (2D), instead of one-dimensional (1D). Correspondingly, new types of 2D constraints are introduced into the input information data to improve the system reliability. While 1D constraints have been extensively investigated in the literature, the study for 2D constraints is much less profound. Particularl…

On Performance of IoT Networks with Coordinated NOMA Transmission: Covert Monitoring and Information Decoding
Thai-Hoc Vu, Anh-Tu Le, Ngo Hoang Tu, Tan N. Nguyen, Miroslav Voznak
https://arxiv.org/abs/2509.01935

On Performance of IoT Networks with Coordinated NOMA Transmission: Covert Monitoring and Information Decoding
This work investigates the covertness and security performance of Internet-of-Things (IoTs) networks under Rayleigh fading environments. Specifically, a cellular source transmits covert information to cell-edge users with the assistance of an IoT master node, employing a coordinated direct and relay transmission strategy combined with non-orthogonal multiple access (NOMA). This approach not only enhances spectrum utilization but also generates friendly interference to complicate a warden's surv…

Estimating the Empowerment of Language Model Agents
Jinyeop Song, Jeff Gore, Max Kleiman-Weiner
https://arxiv.org/abs/2509.22504 https://arxiv.org/pdf/2509…

Estimating the Empowerment of Language Model Agents
As language model (LM) agents become more capable and gain broader access to real-world tools, there is a growing need for scalable evaluation frameworks of agentic capability. However, conventional benchmark-centric evaluations are costly to design and require human designers to come up with valid tasks that translate into insights about general model capabilities. In this work, we propose information-theoretic evaluation based on empowerment, the mutual information between an agent's actions …

Agentic Misalignment: How LLMs Could Be Insider Threats
Aengus Lynch, Benjamin Wright, Caleb Larson, Stuart J. Ritchie, Soren Mindermann, Ethan Perez, Kevin K. Troy, Evan Hubinger
https://arxiv.org/abs/2510.05179

Agentic Misalignment: How LLMs Could Be Insider Threats
We stress-tested 16 leading models from multiple developers in hypothetical corporate environments to identify potentially risky agentic behaviors before they cause real harm. In the scenarios, we allowed models to autonomously send emails and access sensitive information. They were assigned only harmless business goals by their deploying companies; we then tested whether they would act against these companies either when facing replacement with an updated version, or when their assigned goal c…

Per-element Secure Aggregation against Data Reconstruction Attacks in Federated Learning
Takumi Suimon, Yuki Koizumi, Junji Takemasa, Toru Hasegawa
https://arxiv.org/abs/2508.04285

Per-element Secure Aggregation against Data Reconstruction Attacks in Federated Learning
Federated learning (FL) enables collaborative model training without sharing raw data, but individual model updates may still leak sensitive information. Secure aggregation (SecAgg) mitigates this risk by allowing the server to access only the sum of client updates, thereby concealing individual contributions. However, a significant vulnerability has recently attracted increasing attention: when model updates are sparse vectors, a non-zero value contributed by a single client at a given index c…

Privacy-Preserving State Estimation with Crowd Sensors: An Information-Theoretic Respective
Farhad Farokhi
https://arxiv.org/abs/2509.17266 https://arxiv.o…

Privacy-Preserving State Estimation with Crowd Sensors: An Information-Theoretic Respective
Privacy-preserving state estimation for linear time-invariant dynamical systems with crowd sensors is considered. At any time step, the estimator has access to measurements from a randomly selected sensor from a pool of sensors with pre-specified models and noise profiles. A Luenberger-like observer is used to fuse the measurements with the underlying model of the system to recursively generate the state estimates. An additive privacy-preserving noise is used to constrain information leakage. I…