Tootfinder

'Zombieland' celebration triggers skirmish between Cameron Ward, Jeffery Simmons at Titans training camp

https://www.cbssports.com/nfl/news/zombiel

Well yeh that's why my Epson HX-20's 'charge battery' triggers - the detector input is indeed dropping below the 1.2v threshold with serial running (and microcassette connected albeit idle). So the voltage detector is triggering at the right voltage.
It could just be the lack of real batteries I guess, but hmm, getting there.
#retrocomputing

Dismantling Mafia connections triggers a surge in bank credit to legitimate businesses, lifts local output, and raises productivity – although it comes with a modest uptick in borrowing costs, research shows.
https://cepr.org/voxeu/columns/fightin…

MXene triggers high toughness, high strength and low hysteresis hydrogels for printed artificial tissue
Chendong Zhao, Yaxing Li, Qinglong He, Shangpeng Qin, Huiqi Xie, Chuanfang Zhang
https://arxiv.org/abs/2506.14840

MXene triggers high toughness, high strength and low hysteresis hydrogels for printed artificial tissue
Substituting load-bearing tissues requires hydrogels with rapid processability, excellent mechanical strength and fatigue resistance. Conventional homogeneously polymerized hydrogels with short-chains/excessive branching exhibit low strength/toughness, being inadequate for artificial tissues. Here we introduce the heterogeneous polymerization-accelerated reaction kinetics on the Ti3C2Tx MXene microreactor and sluggish kinetics beyond-to rapidly produce hydrogels within minutes. This allows the …

When Forgetting Triggers Backdoors: A Clean Unlearning Attack
Marco Arazzi, Antonino Nocera, Vinod P
https://arxiv.org/abs/2506.12522 https://

When Forgetting Triggers Backdoors: A Clean Unlearning Attack
Machine unlearning has emerged as a key component in ensuring ``Right to be Forgotten'', enabling the removal of specific data points from trained models. However, even when the unlearning is performed without poisoning the forget-set (clean unlearning), it can be exploited for stealthy attacks that existing defenses struggle to detect. In this paper, we propose a novel {\em clean} backdoor attack that exploits both the model learning phase and the subsequent unlearning requests. Unlike traditi…

I made some progress on the Beat Bike!
The magnet mounted on the wheel passes a reed switch which is sensed by the control box (with a Raspberry Pi Pico) and then triggers the drum machine to step through the programmed sequence.
Still a lot of work to do, mostly mounting everything onto the bike, and some more code to write, but the proof of concept is all good.
#bikeTooter

Impulsive excitation of a solid by extreme contrast, high intensity femtosecond laser pulses
Sagar Dam, Jian Fuh Ong, Sk Rakeeb, Ameya Parab, Aparajit C, Anandam, Amit D Lad, Yash M Ved, M Krishnamurthy, Kazuo A Tanaka, G Ravindra Kumar
https://arxiv.org/abs/2508.13649

Impulsive excitation of a solid by extreme contrast, high intensity femtosecond laser pulses
We present the ultra-fast dynamics of the interaction between a high-intensity extreme contrast (expected to be around 1e-18 at hundreds of picoseconds timescale) femtosecond laser and a solid. Simultaneous measurements of probe Doppler spectrometry and reflectivity in pump-probe experiments reveal the presence of extreme pressure in the solid density region, which triggers a long-lived (about 15 ps) strong inward shock. Hydrodynamic simulations accurately replicate these observations, providin…

Mediterranean heat wave triggers health alerts and wildfire fears across region #Europe

Mediterranean heat wave triggers health alerts and wildfire fears across region
Southern European countries braced Friday for a punishing weekend heat wave, with temperatures predicted to hit up to 40 degrees Celsius (104 Fahrenheit) and beyond, prompting health warnings and fears of wildfires.

Why We Feel What We Feel: Joint Detection of Emotions and Their Opinion Triggers in E-commerce
Arnav Attri, Anuj Attri, Pushpak Bhattacharyya, Suman Banerjee, Amey Patil, Muthusamy Chelliah, Nikesh Garera
https://arxiv.org/abs/2507.04708

Why We Feel What We Feel: Joint Detection of Emotions and Their Opinion Triggers in E-commerce
Customer reviews on e-commerce platforms capture critical affective signals that drive purchasing decisions. However, no existing research has explored the joint task of emotion detection and explanatory span identification in e-commerce reviews - a crucial gap in understanding what triggers customer emotional responses. To bridge this gap, we propose a novel joint task unifying Emotion detection and Opinion Trigger extraction (EOT), which explicitly models the relationship between causal text …

Trump Arrest of Immigrant Triggers Shock and Regret in Small MAGA Town (New Republic)
https://newrepublic.com/article/195952/trump-arrest-immigrant-triggers-shock-regret-small-maga-town
http://www.memeorandum.com/250602/p17#a250602p17

Ming Li Hui, who goes by the name of “Carol,” was recently arrested and now faces potential deportation.
This has shocked and dismayed many of the town’s residents,
even though the area went overwhelmingly for Trump.
Carol talked to us straight from jail, where she is awaiting her fate.
At times the conversation was difficult:
She broke down in tears about her ordeal,
was emotionally overwhelmed at the support she’s received from the Trump-backing town,…

Trump Arrest of Immigrant Triggers Shock and Regret in Small MAGA Town
An immigrant’s pending deportation has stunned Trump-supporting Missouri locals who have come to know and love her. Speaking to us on our podcast straight from jail, she makes a tearful, wrenching appeal.

Powerful earthquake in Russia's Far East triggers tsunami warnings, evacuations in Japan and US: https://benborges.xyz/2025/07/30/powerful-earthquake-in-russias-far.html

MOFCO: Mobility- and Migration-Aware Task Offloading in Three-Layer Fog Computing Environments
Soheil Mahdizadeh, Elyas Oustad, Mohsen Ansari
https://arxiv.org/abs/2507.12028

MOFCO: Mobility- and Migration-Aware Task Offloading in Three-Layer Fog Computing Environments
Task offloading in three-layer fog computing environments presents a critical challenge due to user equipment (UE) mobility, which frequently triggers costly service migrations and degrades overall system performance. This paper addresses this problem by proposing MOFCO, a novel Mobility- and Migration-aware Task Offloading algorithm for Fog Computing environments. The proposed method formulates task offloading and resource allocation as a Mixed-Integer Nonlinear Programming (MINLP) problem and…

Stay alert and check out today's Metacurity for the critical infosec developments you should know, including
--Minnesota's Walz mobilizes National Guard to help with St. Paul cyberattack,
--Tea suspends direct messaging and gets hit with class actions over breach,
--CISA to release Wyden-demanded report to unblock Plankey nomination,
--Google has not received UK backdoor demand,
--Orange breach triggers minor disruptions,
--Palo Alto to buy CyberAr…

Minnesota's Walz mobilizes National Guard to help with St. Paul cyberattack
Tea suspends direct messaging and gets hit with class actions over breach, CISA to release Wyden-demanded report to unblock Plankey nomination, Google has not received UK backdoor demand, Orange breach triggers minor disruptions, Palo Alto to buy CyberArk for $25m, much more

Key-Augmented Neural Triggers for Knowledge Sharing
Alex Wolf, Marco Edoardo Palma, Pooja Rani, Harald C. Gall
https://arxiv.org/abs/2508.03340 https://arx…

Key-Augmented Neural Triggers for Knowledge Sharing
Repository-level code comprehension and knowledge sharing remain core challenges in software engineering. Large language models (LLMs) have shown promise by generating explanations of program structure and logic. However, these approaches still face limitations: First, relevant knowledge is distributed across multiple files within a repository, aka semantic fragmentation. Second, retrieval inefficiency and attention saturation degrade performance in RAG pipelines, where long, unaligned contexts…

Hidden in the Noise: Unveiling Backdoors in Audio LLMs Alignment through Latent Acoustic Pattern Triggers
Liang Lin, Miao Yu, Kaiwen Luo, Yibo Zhang, Lilan Peng, Dexian Wang, Xuehai Tang, Yuanhe Zhang, Xikang Yang, Zhenhong Zhou, Kun Wang, Yang Liu
https://arxiv.org/abs/2508.02175

Hidden in the Noise: Unveiling Backdoors in Audio LLMs Alignment through Latent Acoustic Pattern Triggers
As Audio Large Language Models (ALLMs) emerge as powerful tools for speech processing, their safety implications demand urgent attention. While considerable research has explored textual and vision safety, audio's distinct characteristics present significant challenges. This paper first investigates: Is ALLM vulnerable to backdoor attacks exploiting acoustic triggers? In response to this issue, we introduce Hidden in the Noise (HIN), a novel backdoor attack framework designed to exploit subtle,…

Worked around. There may be a bug.
pkg(8) --rootdir and triggers:
https://www.reddit.com/r/freebsd/comments/1kvp4uw/pkg8_rootdir_and_triggers/
"As far as I can tell, nothing is triggered when I use the --rootdir option of p…

Localized risk perception triggers early behavioral adaptations in epidemics on networks
Baltazar Espinoza, Jimmy Calvo-Monge, Fabio Sanchez, Madhav Marathe
https://arxiv.org/abs/2508.05704

Localized risk perception triggers early behavioral adaptations in epidemics on networks
The contact structure of the population shapes the progression of epidemics. Nonetheless, the joint evolution of individual behavioral adaptations and disease dynamics on networks remains poorly understood. We use a behavioral-epidemiological model to study the joint evolution of human behavior and epidemic dynamics on networks. Our results reveal how the adaptation of local social structures, influenced by risk-benefit trade-offs, affects the dynamics of epidemics. We allow the epidemic and po…

Endo-exo classification of episodic rock creep in deep mines: Implications for forecasting catastrophic failure
Qinghua Lei, Daniel Francois Malan, Didier Sornette
https://arxiv.org/abs/2506.12547

Endo-exo classification of episodic rock creep in deep mines: Implications for forecasting catastrophic failure
Rock masses in deep underground environments under high in-situ stress often exhibit episodic creep behavior, driven by complex interactions between external perturbation and internal reorganization. The causes of these creep episodes and their link to potential catastrophic failure remain poorly understood. Here, we present a novel 'endo-exo' framework for analyzing episodic rock creep in deep underground mines, capturing the interplay between exogenous triggers (e.g., blasting and excavation)…

Saturable nonlinearity induced quantum correlations in optomechanics
D. R. Kenigoule Massembele, E. Kongkui Berinyuy, P. Djorwe, A. -H. Abdel-Aty, M. R. Eid, R. Altuijri, S. G. Nana Engo
https://arxiv.org/abs/2506.10709

Saturable nonlinearity induced quantum correlations in optomechanics
We propose a scheme that induces quantum correlations in optomtomechanical systems. Our benchmark system consists of two optically coupled optical cavities which interact with a common mechanical resonator. The optical cavities host saturable nonlinearity which triggers either gain or losses in each cavity. Without these nonlinearities, there are no quantum correlations, i.e., entanglement and steering, generated in the system. By turning on the nonlinearities, gain and losses are switched on, …

Push or Light: Nudging Standing to Break Prolonged Sitting
Sohshi Yoshida, Ko Watanabe, Andreas Dengel, Shoya Ishimaru, Shingo Ata, Manato Fujimoto
https://arxiv.org/abs/2507.08659

Push or Light: Nudging Standing to Break Prolonged Sitting
Prolonged sitting is a health risk leading to metabolic and cardiovascular diseases. To combat this, various "nudging" strategies encourage stand-ups. Behavior change triggers use explicit prompts such as smartphone push notifications or light controls. However, comparisons of the effects of such interactions, discomfort, and user context have not yet been performed. The present study evaluated these methods in a mixed design experiment with 15 college students. Three intervention methods (none…

#LastFM seems to be completely broken right now. Songs are scrobbled multiple times, at different times also. Deleting these scrobbles just triggers more wrong scrobbles. What is happening?

BDFirewall: Towards Effective and Expeditiously Black-Box Backdoor Defense in MLaaS
Ye Li, Chengcheng Zhu, Yanchao Zhao, Jiale Zhang
https://arxiv.org/abs/2508.03307 https://

BDFirewall: Towards Effective and Expeditiously Black-Box Backdoor Defense in MLaaS
In this paper, we endeavor to address the challenges of backdoor attacks countermeasures in black-box scenarios, thereby fortifying the security of inference under MLaaS. We first categorize backdoor triggers from a new perspective, i.e., their impact on the patched area, and divide them into: high-visibility triggers (HVT), semi-visibility triggers (SVT), and low-visibility triggers (LVT). Based on this classification, we propose a progressive defense framework, BDFirewall, that removes these …

Gradual Metaprogramming
Tianyu Chen, Darshal Shetty, Jeremy G. Siek, Chao-Hong Chen, Weixi Ma, Arnaud Venet, Rocky Liu
https://arxiv.org/abs/2506.09043 htt…

Gradual Metaprogramming
Data engineers increasingly use domain-specific languages (DSLs) to generate the code for data pipelines. Such DSLs are often embedded in Python. Unfortunately, there are challenges in debugging the generation of data pipelines: an error in a Python DSL script is often detected too late, after the execution of the script, and the source code location that triggers the error is hard to pinpoint. In this paper, we focus on the F3 DSL of Meta (Facebook), which is a DSL embedded in Python (so it …

📈 Cutting the fat: Oat oil breakthrough paves way for industry growth
#food

Cutting the fat: Oat oil breakthrough paves way for industry growth
New University of South Australia research is providing evidence of biological triggers of oil production in oats, a discovery that will help processing and potentially drive further demand for Australian-grown oats.

FlashGuard: Novel Method in Evaluating Differential Characteristics of Visual Stimuli for Deterring Seizure Triggers in Photosensitive Epilepsy
Ishan Pendyala
https://arxiv.org/abs/2507.19692

FlashGuard: Novel Method in Evaluating Differential Characteristics of Visual Stimuli for Deterring Seizure Triggers in Photosensitive Epilepsy
In the virtual realm, individuals with photosensitive epilepsy (PSE) encounter challenges when using devices, resulting in exposure to unpredictable seizure-causing visual stimuli. The current norm for preventing epileptic flashes in media is to detect asynchronously when a flash will occur in a video, then notifying the user. However, there is a lack of a real-time and computationally efficient solution for dealing with this issue. To address this issue and enhance accessibility for photosensi…

Apologies if this triggers you:
rickroll!

Acid-busting diet triggers 13-pound weight loss in just 16 weeks #nutrition

Acid-busting diet triggers 13-pound weight loss in just 16 weeks
Swap steaks for spinach and you might watch the scale plummet. In a 16-week crossover study, overweight adults who ditched animal products for a low-fat vegan menu saw their bodies become less acidic and dropped an average of 13 pounds—while the Mediterranean diet left weight unchanged. Researchers link the shift to lower “dietary acid load,” a hidden inflammation trigger driven by meat, eggs, and cheese.

Identifying efficient routes to laminarization: an optimization approach
Jake Buzhardt, Michael D. Graham
https://arxiv.org/abs/2508.08519 https://arxiv.or…

Identifying efficient routes to laminarization: an optimization approach
The inherently nonlinear and chaotic nature of turbulent flows poses a major challenge for designing control strategies to maintain or induce low-drag laminar states. In this work, we study the concept of the minimal seed for relaminarization - the smallest perturbation of a turbulent state that triggers a direct transition to laminar flow without a chaotic transient. We formulate the identification of this optimal perturbation as a fully nonlinear optimization problem and develop a numerical f…

InverTune: Removing Backdoors from Multimodal Contrastive Learning Models via Trigger Inversion and Activation Tuning
Mengyuan Sun, Yu Li, Yuchen Liu, Bo Du, Yunjie Ge
https://arxiv.org/abs/2506.12411

InverTune: Removing Backdoors from Multimodal Contrastive Learning Models via Trigger Inversion and Activation Tuning
Multimodal contrastive learning models like CLIP have demonstrated remarkable vision-language alignment capabilities, yet their vulnerability to backdoor attacks poses critical security risks. Attackers can implant latent triggers that persist through downstream tasks, enabling malicious control of model behavior upon trigger presentation. Despite great success in recent defense mechanisms, they remain impractical due to strong assumptions about attacker knowledge or excessive clean data requir…

TIL that chatgpt signs HTTP requests with RFC 9421 signatures, which initially seems over the top, until you consider the scope of what agentic systems might end up doing.
https://fedi.simonwillison.net/@simon/114973107878476323

Results from the Pan-STARRS Search for Kilonovae: Contamination by Massive Stellar Outbursts
M. D. Fulton, S. J. Smartt, M. E. Huber, K. W. Smith, K. C. Chambers, M. Nicholl, S. Srivastav, D. R. Young, E. A. Magnier, C. -C. Lin, P. Minguez, T. de Boer, T. Lowe, R. Wainscoat
https://arxiv.org/abs/2506.07082

Results from the Pan-STARRS Search for Kilonovae: Contamination by Massive Stellar Outbursts
We present results from the Pan-STARRS optical search for kilonovae without the aid of gravitational wave and gamma-ray burst triggers. The search was conducted from 26 October 2019 to 15 December 2022. During this time, we reported 29,740 transients observed by Pan-STARRS to the IAU Transient Name Server. Of these, 175 were Pan-STARRS credited discoveries that had a host galaxy within 200 Mpc and had discovery absolute magnitudes M > -16.5. A subset of 11 transients was plausibly identified as…

SPBA: Utilizing Speech Large Language Model for Backdoor Attacks on Speech Classification Models
Wenhan Yao, Fen Xiao, Xiarun Chen, Jia Liu, YongQiang He, Weiping Wen
https://arxiv.org/abs/2506.08346

SPBA: Utilizing Speech Large Language Model for Backdoor Attacks on Speech Classification Models
Deep speech classification tasks, including keyword spotting and speaker verification, are vital in speech-based human-computer interaction. Recently, the security of these technologies has been revealed to be susceptible to backdoor attacks. Specifically, attackers use noisy disruption triggers and speech element triggers to produce poisoned speech samples that train models to become vulnerable. However, these methods typically create only a limited number of backdoors due to the inherent cons…

This https://arxiv.org/abs/2505.21199 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csDC_…

Multi-Event Triggers for Serverless Computing
Function-as-a-Service (FaaS) is an event-driven serverless cloud computing model in which small, stateless functions are invoked in response to events, such as HTTP requests, new database entries, or messages. Current FaaS platform assume that each function invocation corresponds to a single event. However, from an application perspective, it is desirable to invoke functions in response to a collection of events of different types or only with every n\textsuperscript{th} event. To implement thi…

hold on. holdonholdon
the Schmitt trigger, the one used in basically all digital electronics, is inspired by a biological object? More specifically, _the_ squid giant axon?? I can't believe I'm only learning this now despite hearing a lot of things about Schmitt triggers _and_ squid giant axons!

Revisiting the Gas Dynamics of Henize 2-10: Possible Drivers of the Starburst
Josephine M. Dalsin, Allison H. Costa, Remy Indebetouw, Kelsey E. Johnson, Natalie O. Johnson, Sabrina Stierwalt
https://arxiv.org/abs/2508.06472

Revisiting the Gas Dynamics of Henize 2-10: Possible Drivers of the Starburst
The triggers of starburst episodes are a key component to our understanding of the baryon cycle in galaxies. Galaxy mergers are a commonly suggested catalyst for starbursts, but once the galaxies coalesce into a single kinematically disturbed system, their merger history can be difficult to assess. This is particularly true for dwarf galaxies, which are expected to dominate the merger rate at all redshifts due to their large numbers. One such dwarf galaxy undergoing an enigmatic starburst episo…

TOI-1259Ab: A Warm Jupiter Orbiting a K-dwarf White-Dwarf Binary is on a Well-aligned Orbit
Hugo Veldhuis, Juan I. Espinoza-Retamal, Gudmundur Stefansson, Alexander P. Stephan, David V. Martin, David Bruijne, Suvrath Mahadevan, Joshua N. Winn, Cullen H. Blake, Fei Dai, Rachel B. Fernandes, Evan Fitzmaurice, Eric B. Ford, Mark R. Giovinazzi, Arvind F. Gupta, Samuel Halverson, Te Han, Daniel Krolikowski, Joe Ninan, Cristobal Petrovich, Paul Robertson, Arpita Roy, Christian Schwab, Ryan T…

TOI-1259Ab: A Warm Jupiter Orbiting a K-dwarf White-Dwarf Binary is on a Well-aligned Orbit
The evolution of one member of a stellar binary into a white dwarf has been proposed as a mechanism that triggers the formation of close-in gas giant planets. The star's asymmetric mass loss during the AGB stage gives it a "kick" that can initiate Eccentric Lidov-Kozai oscillations, potentially causing a planet around the secondary star to migrate inwards and perturbing the eccentricity and inclination of its orbit. Here we present a measurement of the stellar obliquity of TOI-1259Ab, a gas gia…

This https://arxiv.org/abs/2406.02436 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csRO_…

Safe, Out-of-Distribution-Adaptive MPC with Conformalized Neural Network Ensembles
We present SODA-MPC, a Safe, Out-of-Distribution-Adaptive Model Predictive Control algorithm, which uses an ensemble of learned models for prediction, with a runtime monitor to flag unreliable out-of-distribution (OOD) predictions. When an OOD situation is detected, SODA-MPC triggers a safe fallback control strategy based on reachability, yielding a control framework that achieves the high performance of learning-based models while preserving the safety of reachability-based control. We demonst…

Ring-based ML calibration with in situ pileup correction for real-time jet triggers
Benjamin T. Carlson, Stephen T. Roche, Michael Hemmett, Tae Min Hong
https://arxiv.org/abs/2507.16686

Ring-based ML calibration with in situ pileup correction for real-time jet triggers
We present a machine learning (ML) method to calibrate hadronic jet energy in real-time trigger systems of the High-Luminosity Large Hadron Collider (HL-LHC) using an efficient implementation on field programmable gate arrays (FPGA). Regression is done to estimate the transverse energy of jet candidates, using concentric rings of electromagnetic and hadronic contributions in 0.1 x 0.1 towers around fixed-radius cone jet seeds, that accounts for in situ pileup correction. Classification separate…

Hierarchical Temporal Point Process Modeling of Aggressive Behavior Onset in Psychiatric Inpatient Youth with Autism for Branching Factor Estimation
Michael Potter, Michael Everett, Deniz Erdogmus, Yuna Watanabe, Tales Imbiriba, Matthew S. Goodwin
https://arxiv.org/abs/2507.12424

Hierarchical Temporal Point Process Modeling of Aggressive Behavior Onset in Psychiatric Inpatient Youth with Autism for Branching Factor Estimation
Aggressive behavior in autistic inpatient youth often arises in temporally clustered bursts complicating efforts to distinguish external triggers from internal escalation. The sample population branching factor-the expected number of new onsets triggered by a given event-is a key summary of self-excitation in behavior dynamics. Prior pooled models overestimate this quantity by ignoring patient-specific variability. We addressed this using a hierarchical Hawkes process with an exponential kernel…

DISTIL: Data-Free Inversion of Suspicious Trojan Inputs via Latent Diffusion
Hossein Mirzaei, Zeinab Taghavi, Sepehr Rezaee, Masoud Hadi, Moein Madadi, Mackenzie W. Mathis
https://arxiv.org/abs/2507.22813

DISTIL: Data-Free Inversion of Suspicious Trojan Inputs via Latent Diffusion
Deep neural networks have demonstrated remarkable success across numerous tasks, yet they remain vulnerable to Trojan (backdoor) attacks, raising serious concerns about their safety in real-world mission-critical applications. A common countermeasure is trigger inversion -- reconstructing malicious "shortcut" patterns (triggers) inserted by an adversary during training. Current trigger-inversion methods typically search the full pixel space under specific assumptions but offer no assurances tha…

This https://arxiv.org/abs/2408.06208 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_ees…

Event-triggered moving horizon estimation for nonlinear systems
This work proposes an event-triggered moving horizon estimation (ET-MHE) scheme for general nonlinear systems. The key components of the proposed scheme are a novel event-triggering mechanism (ETM) and the suitable design of the MHE cost function. The main characteristic of our method is that the MHE's nonlinear optimization problem is only solved when the ETM triggers the transmission of measured data to the remote state estimator. If no event occurs, then the current state estimate results fr…

Execution-Aware Program Reduction for WebAssembly via Record and Replay
Doehyun Baek, Daniel Lehmann, Ben L. Titzer, Sukyoung Ryu, Michael Pradel
https://arxiv.org/abs/2506.07834 …

Execution-Aware Program Reduction for WebAssembly via Record and Replay
WebAssembly (Wasm) programs may trigger bugs in their engine implementations. To aid debugging, program reduction techniques try to produce a smaller variant of the input program that still triggers the bug. However, existing execution-unaware program reduction techniques struggle with large and complex Wasm programs, because they rely on static information and apply syntactic transformations, while ignoring the valuable information offered by the input program's execution behavior. We presen…

Some fun facts about #Python limited API / stable ABI.
1. #CPython supports "limited API". When you use it, you get extensions that are compatible with the specified CPython version and versions newer than that. To indicate this compatibility, such extensions use `.abi3.so` suffix (or equivalent) rather than the usual `.cpython-313-x86_64-linux-gnu.so` or alike.
2. The actual support is split between CPython itself and #PEP517 build systems. For example, if you use #setuptools and specify `py_limited_api=` argument to the extension, setuptools will pass appropriate C compiler flags and swap extension suffix. There's a similar support in #meson, and probably other build systems.
3. Except that CPython freethreading builds don't support stable ABI right now, so building with "limited API" triggers an explicit error from the headers. Setuptools have opted for building explicit about this: it emits an error if you try to use `py_limited_api` on a freethreading interpreter. Meson currently just gives the compile error. This implies that package authors need to actively special-case freethreading builds and enable "limited API" conditionally.
4. A some future versions of CPython will support "limited API" in freethreading builds. I haven't been following the discussions closely, but I suspect that it will only be possible when you target that version or newer. So I guess people will need to be building two stable ABI wheels for a time — one targeting older Python versions, and one targeting newer versions plus freethreading. On top of that, all these projects will need to update their "no 'limited API' on freethreading" conditions.
5. And then there's #PyPy. PyPy does not feature a stable ABI, but it allows you to build extensions using "limited API". So setuptools and meson just detect that there is no `.abi3.so` on PyPy, and use regular suffix for the extensions built with "limited API".

3S-Attack: Spatial, Spectral and Semantic Invisible Backdoor Attack Against DNN Models
Jianyao Yin, Luca Arnaboldi, Honglong Chen, Pascal Berrang
https://arxiv.org/abs/2507.10733 …

3S-Attack: Spatial, Spectral and Semantic Invisible Backdoor Attack Against DNN Models
Backdoor attacks involve either poisoning the training data or directly modifying the model in order to implant a hidden behavior, that causes the model to misclassify inputs when a specific trigger is present. During inference, the model maintains high accuracy on benign samples but misclassifies poisoned samples into an attacker-specified target class. Existing research on backdoor attacks has explored developing triggers in the spatial, spectral (frequency), and semantic (feature) domains, a…

Weather tracker: heatwave triggers deadly wildfires in Turkey https://www.theguardian.com/environment/2025/jul/25/weather-tracker-heatwave-deadly-wildfires-turkey

Synaptic shot-noise triggers fast and slow global oscillations in balanced neural networks
Denis S. Goldobin, Maria V. Ageeva, Matteo di Volo, Ferdinand Tixidre, Alessandro Torcini
https://arxiv.org/abs/2505.22373

Synaptic shot-noise triggers fast and slow global oscillations in balanced neural networks
Neural dynamics is determined by the transmission of discrete synaptic pulses (synaptic shot-noise) among neurons. However, the neural responses are usually obtained within the diffusion approximation modeling synaptic inputs as continuous Gaussian noise. Here, we present a rigorous mean-field theory that encompasses synaptic shot-noise for sparse balanced inhibitory neural networks driven by an excitatory drive. Our theory predicts new dynamical regimes, in agreement with numerical simulations…

Droplet Removal by Capillary Lifting
Ke Sun, Jack R. Panter, Alvin C. M. Shek, Yonas Gizaw, Kislon Vo\"itchovsky, Halim Kusumaatmaja
https://arxiv.org/abs/2508.02481 https:…

Droplet Removal by Capillary Lifting
The removal of liquid droplets from solid surfaces is central to cleaning, coatings and oil recovery. Here we investigate liquid droplets capillary lifted by an immiscible working liquid. The rising working liquid triggers the formation of a capillary bridge between the solid and the air interface, which can lead to full, partial, or no droplet dewetting. Our theoretical model predicts, and experiments confirm, that the effectiveness of droplet removal can be tuned by manipulating the droplet c…

A Multi-Scale Spatial Attention Network for Near-field MIMO Channel Estimation
Zhiming Zhu, Shu Xu, Jiexin Zhang, Chunguo Li, Yongming Huang, Luxi Yang
https://arxiv.org/abs/2507.22656

A Multi-Scale Spatial Attention Network for Near-field MIMO Channel Estimation
The deployment of extremely large-scale array (ELAA) brings higher spectral efficiency and spatial degree of freedom, but triggers issues on near-field channel estimation. Existing near-field channel estimation schemes primarily exploit sparsity in the transform domain. However, these schemes are sensitive to the transform matrix selection and the stopping criteria. Inspired by the success of deep learning (DL) in far-field channel estimation, this paper proposes a novel spatial-attention…

CISA unveils free Thorium malware analysis platform https://therecord.media/cisa-unveils-free-malware-analysis-tool

Develoment of thin high-pressure-laminate RPC electrodes for future high-energy experiments
Kyong Sei Lee, Giuseppe Iaselli, Youngmin Jo, Minho Kang, Tae Jeong Kim, Dayron Ramos Lopez, Gabriella Pugliese
https://arxiv.org/abs/2506.03552

Develoment of thin high-pressure-laminate RPC electrodes for future high-energy experiments
In this R&D, an innovative method for producing thin high-pressure laminate (HPL) electrodes for resistive plate chambers (RPC) for future high-energy experiments is introduced. Instead of using thick phenolic HPL (2-mm thick Bakelite), which has been used for conventional RPC triggers, the RPC electrodes in the present study are constructed by bonding 500 μm-thick melamine-based HPL to a graphite-coated polycarbonate plate. A double-gap RPC prototype to demostrate the present technology has b…

Tulsi Gabbard's 'treason' allegation triggers a high-wire act from Obama world (NBC News)
https://www.nbcnews.com/politics/trump-administration/tulsi-gabbard-treason-allegation-obama-world-rcna220730
http://www.memeorandum.com/250725/p104#a250725p104

Multi-Target Backdoor Attacks Against Speaker Recognition
Alexandrine Fortier, Sonal Joshi, Thomas Thebaud, Jesus Villalba Lopez, Najim Dehak, Patrick Cardinal
https://arxiv.org/abs/2508.08559

Multi-Target Backdoor Attacks Against Speaker Recognition
In this work, we propose a multi-target backdoor attack against speaker identification using position-independent clicking sounds as triggers. Unlike previous single-target approaches, our method targets up to 50 speakers simultaneously, achieving success rates of up to 95.04%. To simulate more realistic attack conditions, we vary the signal-to-noise ratio between speech and trigger, demonstrating a trade-off between stealth and effectiveness. We further extend the attack to the speaker verific…

TED-LaST: Towards Robust Backdoor Defense Against Adaptive Attacks
Xiaoxing Mo, Yuxuan Cheng, Nan Sun, Leo Yu Zhang, Wei Luo, Shang Gao
https://arxiv.org/abs/2506.10722

TED-LaST: Towards Robust Backdoor Defense Against Adaptive Attacks
Deep Neural Networks (DNNs) are vulnerable to backdoor attacks, where attackers implant hidden triggers during training to maliciously control model behavior. Topological Evolution Dynamics (TED) has recently emerged as a powerful tool for detecting backdoor attacks in DNNs. However, TED can be vulnerable to backdoor attacks that adaptively distort topological representation distributions across network layers. To address this limitation, we propose TED-LaST (Topological Evolution Dynamics agai…

Signatures of rigidity and second sound in dipolar supersolids
G. A. Bougas, T. Bland, H. R. Sadeghpour, S. I. Mistakidis
https://arxiv.org/abs/2506.22290 …

Signatures of rigidity and second sound in dipolar supersolids
We propose a dynamical protocol to probe the rigidity and phase coherence of dipolar supersolids by merging initially separated fragments in quasi-one-dimensional (1D) double-well potentials. Simulations based on the extended Gross-Pitaevskii equation reveal distinct dynamical signatures across phases. Supersolids exhibit damped crystal oscillations following barrier removal, with the damping rate reflecting superfluid connectivity. A phase-imprinted jump additionally triggers metastable dark s…

Towards Sustainability Model Cards
Gwendal Jouneaux, Jordi Cabot
https://arxiv.org/abs/2507.19559 https://arxiv.org/pdf/2507.19559

Towards Sustainability Model Cards
The growth of machine learning (ML) models and associated datasets triggers a consequent dramatic increase in energy costs for the use and training of these models. In the current context of environmental awareness and global sustainability concerns involving ICT, Green AI is becoming an important research topic. Initiatives like the AI Energy Score Ratings are a good example. Nevertheless, these benchmarking attempts are still to be integrated with existing work on Quality Models and Service-L…

Tuning Shear Rheology through Active Dopants
Amir Shee, Ritwik Bandyopadhyay, Haicen Yue
https://arxiv.org/abs/2506.05262 https://arx…

Tuning Shear Rheology through Active Dopants
We numerically investigate the shear rheology of mixtures of active and passive Brownian particles, with varying fractions of active components. We find that even a small fraction of active dopants triggers fluidization with comparable efficiency to fully active systems. A combined parameter, active energy, given by dopant fraction multiplied by propulsion speed squared controls the shear rheology and glass transition of the active-passive mixtures. These results together provide a quantitative…

Gravitational waves from a dilaton-induced, first-order QCD phase transition
Aleksandr Chatrchyan, M. C. David Marsh, Charalampos Nikolis
https://arxiv.org/abs/2507.01191

Gravitational waves from a dilaton-induced, first-order QCD phase transition
We show that a `QCD dilaton' field, whose vacuum expectation value sets the strong coupling, can render the Quantum Chromodynamic (QCD) confinement transition first-order. The QCD dilaton is cosmologically attracted to a false vacuum at weak coupling in the early universe. Quantum tunnelling towards the true vacuum triggers prompt chiral symmetry breaking and confinement of QCD, leading to detonating bubbles of the hadronic phase. We find that plasma sound waves produced by this dilaton-induced…

Dual-Task Graph Neural Network for Joint Seizure Onset Zone Localization and Outcome Prediction using Stereo EEG
Syeda Abeera Amir, Artur Agaronyan, William Gaillard, Chima Oluigbo, Syed Muhammad Anwar
https://arxiv.org/abs/2505.23669

Dual-Task Graph Neural Network for Joint Seizure Onset Zone Localization and Outcome Prediction using Stereo EEG
Accurately localizing the brain regions that triggers seizures and predicting whether a patient will be seizure-free after surgery are vital for surgical planning and patient management in drug-resistant epilepsy. Stereo-electroencephalography (sEEG) delivers high-fidelity intracranial recordings that enable clinicians to precisely locate epileptogenic networks. However, the clinical identification is subjective and dependent on the expertise of the clinical team. Data driven approaches in this…

BadViM: Backdoor Attack against Vision Mamba
Yinghao Wu, Liyan Zhang
https://arxiv.org/abs/2507.00577 https://arxiv.org/pdf/2507.0057…

BadViM: Backdoor Attack against Vision Mamba
Vision State Space Models (SSMs), particularly architectures like Vision Mamba (ViM), have emerged as promising alternatives to Vision Transformers (ViTs). However, the security implications of this novel architecture, especially their vulnerability to backdoor attacks, remain critically underexplored. Backdoor attacks aim to embed hidden triggers into victim models, causing the model to misclassify inputs containing these triggers while maintaining normal behavior on clean inputs. This paper i…

Your Agent Can Defend Itself against Backdoor Attacks
Li Changjiang, Liang Jiacheng, Cao Bochuan, Chen Jinghui, Wang Ting
https://arxiv.org/abs/2506.08336 …

Your Agent Can Defend Itself against Backdoor Attacks
Despite their growing adoption across domains, large language model (LLM)-powered agents face significant security risks from backdoor attacks during training and fine-tuning. These compromised agents can subsequently be manipulated to execute malicious operations when presented with specific triggers in their inputs or environments. To address this pressing risk, we present ReAgent, a novel defense against a range of backdoor attacks on LLM-based agents. Intuitively, backdoor attacks often res…

ConSeg: Contextual Backdoor Attack Against Semantic Segmentation
Bilal Hussain Abbasi, Zirui Gong, Yanjun Zhang, Shang Gao, Antonio Robles-Kelly, Leo Zhang
https://arxiv.org/abs/2507.19905

ConSeg: Contextual Backdoor Attack Against Semantic Segmentation
Despite significant advancements in computer vision, semantic segmentation models may be susceptible to backdoor attacks. These attacks, involving hidden triggers, aim to cause the models to misclassify instances of the victim class as the target class when triggers are present, posing serious threats to the reliability of these models. To further explore the field of backdoor attacks against semantic segmentation, in this paper, we propose a simple yet effective backdoor attack called Contextu…

BadBlocks: Low-Cost and Stealthy Backdoor Attacks Tailored for Text-to-Image Diffusion Models
Yu Pan, Jiahao Chen, Lin Wang, Bingrong Dai, Yi Du
https://arxiv.org/abs/2508.03221

BadBlocks: Low-Cost and Stealthy Backdoor Attacks Tailored for Text-to-Image Diffusion Models
In recent years,Diffusion models have achieved remarkable progress in the field of image generation.However,recent studies have shown that diffusion models are susceptible to backdoor attacks,in which attackers can manipulate the output by injecting covert triggers such as specific visual patterns or textual phrases into the training dataset.Fortunately,with the continuous advancement of defense techniques,defenders have become increasingly capable of identifying and mitigating most backdoor at…

Real-Time Monitoring and Transparency in Pizza Production Using IoT and Blockchain
Azmat Ullah, Maria Ilaria Lunesu, Lodovica Marchesi, Roberto Tonelli
https://arxiv.org/abs/2507.02536

Real-Time Monitoring and Transparency in Pizza Production Using IoT and Blockchain
This paper presents a blockchain-based Internet of Things (IoT) system for monitoring pizza production in restaurants. IoT devices track temperature and humidity in real-time, while blockchain ensures secure and tamper-proof data. A Raspberry Pi processes sensor data, captures images, triggers alerts, and interacts with smart contracts. The system detects abnormal conditions, enabling quick responses. Blockchain adds transparency and traceability, supporting compliance and audits. Experiments s…

SABRE-FL: Selective and Accurate Backdoor Rejection for Federated Prompt Learning
Momin Ahmad Khan, Yasra Chandio, Fatima Muhammad Anwar
https://arxiv.org/abs/2506.22506

SABRE-FL: Selective and Accurate Backdoor Rejection for Federated Prompt Learning
Federated Prompt Learning has emerged as a communication-efficient and privacy-preserving paradigm for adapting large vision-language models like CLIP across decentralized clients. However, the security implications of this setup remain underexplored. In this work, we present the first study of backdoor attacks in Federated Prompt Learning. We show that when malicious clients inject visually imperceptible, learnable noise triggers into input images, the global prompt learner becomes vulnerable …

When LLMs Copy to Think: Uncovering Copy-Guided Attacks in Reasoning LLMs
Yue Li, Xiao Li, Hao Wu, Yue Zhang, Fengyuan Xu, Xiuzhen Cheng, Sheng Zhong
https://arxiv.org/abs/2507.16773

When LLMs Copy to Think: Uncovering Copy-Guided Attacks in Reasoning LLMs
Large Language Models (LLMs) have become integral to automated code analysis, enabling tasks such as vulnerability detection and code comprehension. However, their integration introduces novel attack surfaces. In this paper, we identify and investigate a new class of prompt-based attacks, termed Copy-Guided Attacks (CGA), which exploit the inherent copying tendencies of reasoning-capable LLMs. By injecting carefully crafted triggers into external code snippets, adversaries can induce the model …