Tootfinder

LinkedIn will no longer allow advertisers to target EU users based on data obtained from their participation in LinkedIn Groups, following a complaint to the EU (Paul Sawers/TechCrunch)
https://techcrunch.com/2024/06/07/link

LinkedIn to limit targeted ads in EU after complaint over sensitive data use | TechCrunch
LinkedIn will no longer allow advertisers to target users based on data gleaned from their participation in LinkedIn Groups.

Someone at the BBC needs to learn the difference between data and information.
The table below is packed full of data but actually tells the reader nothing.
Unless you're not only able to convert currencies in your head, but also have a firm grasp of the relative purchasing power & disposable incomes of consumers in the US, Canada, and the UK, it's impossible to derive anything meaningful from these numbers.
#data #DataAnalysis
Source is https://www.bbc.co.uk/news/articles/cd11ywyg6p0o and that doesn't help.

New note by cybersecurity
https://poliverso.org/display/0477a01e-2166-62fe-425c-d59806845888
Data breach: Azienda Socio Sanitaria Territoriale Rhodense

Our project ADA Bayern is all about solving real problems in the public sector through team work, with the help of easily usable cloud infrastructure, and most importantly by learning from each other.
Our role is to bring in the data skills, the public servants bring the expertise of their field.
Currently we are looking for new problems to solve. Read more in this week's newsletter post.

Data literacy in the public sector

Efficient Data-Parallel Continual Learning with Asynchronous Distributed Rehearsal Buffers
Thomas Bouvier (KerData), Bogdan Nicolae (ANL), Hugo Chaugier (KerData), Alexandru Costan (KerData), Ian Foster (ANL), Gabriel Antoniu (KerData)
https://arxiv.org/abs/2406.03285

Efficient Data-Parallel Continual Learning with Asynchronous Distributed Rehearsal Buffers
Deep learning has emerged as a powerful method for extracting valuable information from large volumes of data. However, when new training data arrives continuously (i.e., is not fully available from the beginning), incremental training suffers from catastrophic forgetting (i.e., new patterns are reinforced at the expense of previously acquired knowledge). Training from scratch each time new training data becomes available would result in extremely long training times and massive data accumulati…

The British Independent Retailers Association files a £1.1B lawsuit against Amazon for allegedly misusing members' proprietary data for competitive purposes (Ingrid Lunden/TechCrunch)
https://techcrunch.com/2024/06/06/uk-r

Amazon slammed with £1.1B data abuse lawsuit from UK retailers | TechCrunch
The British retailers association also takes aim at Amazon’s “Buy Box,” claiming that Amazon manipulated which retailers were selected for the coveted placement.

Netravalkar is doing a pretty terrible job of bowling the super over for the USA.

BUT the USA won! Amazing.

#Cricket #SportsBall #T20WC

dblp_cite: DBLP citations (2014)
Citations among papers contained in the DBLP computer science bibliography. If a paper i cites a paper j also in this data set, then a directed edge connects i to j. (Papers not in the data set are excluded.) Self-loops may be present. This snapshot from May 2014.
This network has 12590 nodes and 49759 edges.
Tags: Informational, Citation, Unweighted

Neue #Satellitendaten zeigen, dass #Methanemissionen in den USA möglicherweise unterschätzt wurden, insbesondere bei #Deponien.

Great tool to demonstrate how dangerous Microsoft Recall is.
#microsoft

GitHub - xaitax/TotalRecall: This tool extracts and displays data from the Recall feature in Windows 11, providing an easy way to access information about your PC's activity snapshots.
This tool extracts and displays data from the Recall feature in Windows 11, providing an easy way to access information about your PC's activity snapshots. - xaitax/TotalRecall

2021 retro-link! https://dawn.cs.stanford.edu//2018/01/11/index-baselines/ - Classical data structures that can outperform learned indexes.

Check out today's Metacurity for the most important infosec developments you should know, including
--Israel launched covert Gaza war influence campaign to target US Lawmakers and public
--NoName targeted General Dynamics subsidiary supplying tanks to Ukraine,
--Alleged human smuggler stalked wife using AirTags,
--Club Penguin fans swiped Disney internal corporate data,
--Threat actors are allegedly selling Advanced Auto Parts data stolen during Snowflake breach,
--22 Chinese nationals plead guilty to internet fraud,
--Chinese campaign targets SE Asian government,
--FBI has over 7,000 LockBit decryption keys,
--much more
https://www.metacurity.com/p/israel-launched-covert-gaza-war-influence-campaign-target-us-lawmakers-public

An adaptive parameter estimator for poor-quality spectral data of white dwarfs
Duo Xie, Jiangchuan Zhang, Yude Bu, Zhenping Yi, Meng Liu, Xiaoming Kong
https://arxiv.org/abs/2406.04248

An adaptive parameter estimator for poor-quality spectral data of white dwarfs
White dwarfs represent the end stage for 97% of stars, making precise parameter measurement crucial for understanding stellar evolution. Traditional estimation methods involve fitting spectra or photometry, which require high-quality data. In recent years, machine learning has played a crucial role in processing spectral data due to its speed, automation, and accuracy. However, two common issues have been identified. First, most studies rely on data with high signal-to-noise ratios (SNR > 10), …

On the way back from an exciting workshop in Cologne on data visualisation of business data.

Someone at the BBC needs to learn the difference between data and information.
The table below is packed full of data but actually tells the reader nothing.
Unless you're not only able to convert currencies in your head, but also have a firm grasp of the relative purchasing power & disposable incomes of consumers in the US, Canada, and the UK, it's impossible to derive anything meaningful from these numbers.
#data #DataAnalysis
Source is https://www.bbc.co.uk/news/articles/cd11ywyg6p0o and that doesn't help.

An overview of systems-theoretic guarantees in data-driven model predictive control
Julian Berberich, Frank Allg\"ower
https://arxiv.org/abs/2406.04130

An overview of systems-theoretic guarantees in data-driven model predictive control
The development of control methods based on data has seen a surge of interest in recent years. When applying data-driven controllers in real-world applications, providing theoretical guarantees for the closed-loop system is of crucial importance to ensure reliable operation. In this review, we provide an overview of data-driven model predictive control (MPC) methods for controlling unknown systems with guarantees on systems-theoretic properties such as stability, robustness, and constraint sati…

Nearly 400,000 affected by data breach at eye care management services company https://therecord.media/data-breach-eye-care-company-cyberattack

Nearly 400,000 affected by data breach at eye care management services company
Colorado-based Panorama Eyecare said an investigation revealed hackers had access to the company’s network for several weeks.

Friends Don't Let Friends Make Bad Graphs! Do you agree with the examples of bad graphs and the alternatives Chenxin Li (@chenxinli2.bsky.social) lists at https://github.com/cxli233/FriendsDontLetFriends

GitHub - cxli233/FriendsDontLetFriends: Friends don't let friends make certain types of data visualization - What are they and why are they bad.
Friends don't let friends make certain types of data visualization - What are they and why are they bad. - GitHub - cxli233/FriendsDontLetFriends: Friends don't let friends make certain ty...

Now the Lord energized Elijah with power; he tucked his robe into his belt and ran ahead of Ahab all the way to Jezreel. 1 Kings 18.46 NET.
God gives the power to do his bidding.
#Bible #BibleVerses #power

Active ML for 6G: Towards Efficient Data Generation, Acquisition, and Annotation
Omar Alhussein, Ning Zhang, Sami Muhaidat, Weihua Zhuang
https://arxiv.org/abs/2406.03630

Active ML for 6G: Towards Efficient Data Generation, Acquisition, and Annotation
This paper explores the integration of active machine learning (ML) for 6G networks, an area that remains under-explored yet holds potential. Unlike passive ML systems, active ML can be made to interact with the network environment. It actively selects informative and representative data points for training, thereby reducing the volume of data needed while accelerating the learning process. While active learning research mainly focuses on data annotation, we call for a network-centric active le…

So pleased I've avoided the Adobe trap since they stopped offering Lightroom as a pay-one piece of software
https://mastodon.art/@naturesketchbook/112571128351775689

Validation of the Bond et al. (2010) SDSS-derived kinematic models for the Milky Way's disk and halo stars with Gaia Data Release 3 proper motion and radial velocity data
Bruno Dom\'inguez, Siddharth Chaini, Karlo Mrakov\v{c}i\'c, Brandon Sallee, \v{Z}eljko Ivezi\'c
https://arxiv.org/abs/2406.03541

Validation of the Bond et al. (2010) SDSS-derived kinematic models for the Milky Way's disk and halo stars with Gaia Data Release 3 proper motion and radial velocity data
We validate the Bond et al. (2010) kinematic models for the Milky Way's disk and halo stars with Gaia Data Release 3 data. Bond et al. constructed models for stellar velocity distributions using stellar radial velocities measured by the Sloan Digital Sky Survey (SDSS) and stellar proper motions derived from SDSS and the Palomar Observatory Sky Survey astrometric measurements. These models describe velocity distributions as functions of position in the Galaxy, with separate models for disk and h…

Data-Centric Label Smoothing for Explainable Glaucoma Screening from Eye Fundus Images
Adrian Galdran, Miguel A. Gonz\'alez Ballester
https://arxiv.org/abs/2406.03903

Data-Centric Label Smoothing for Explainable Glaucoma Screening from Eye Fundus Images
As current computing capabilities increase, modern machine learning and computer vision system tend to increase in complexity, mostly by means of larger models and advanced optimization strategies. Although often neglected, in many problems there is also much to be gained by considering potential improvements in understanding and better leveraging already-available training data, including annotations. This so-called data-centric approach can lead to substantial performance increases, sometimes…

Here are the slides from my presentation at the IASSIST/CARTO conference last week.
The title is "Reproducibility through Identifiers: Persistent Identifiers (PIDs) for research facilities and instruments" but I talked about toasters and link to a novella written by Cory Doctorow (@…)

Gaussian Copula Models for Nonignorable Missing Data Using Auxiliary Marginal Quantiles
Joseph Feldman, Jerome P. Reiter, Daniel R. Kowal
https://arxiv.org/abs/2406.03463

Gaussian Copula Models for Nonignorable Missing Data Using Auxiliary Marginal Quantiles
We present an approach for modeling and imputation of nonignorable missing data under Gaussian copulas. The analyst posits a set of quantiles of the marginal distributions of the study variables, for example, reflecting information from external data sources or elicited expert opinion. When these quantiles are accurately specified, we prove it is possible to consistently estimate the copula correlation and perform multiple imputation in the presence of nonignorable missing data. We develop algo…

Improving Users' Passwords with DPAR: a Data-driven Password Recommendation System
Assaf Morag, Liron David, Eran Toch, Avishai Wool
https://arxiv.org/abs/2406.03423

Improving Users' Passwords with DPAR: a Data-driven Password Recommendation System
Passwords are the primary authentication method online, but even with password policies and meters, users still find it hard to create strong and memorable passwords. In this paper, we propose DPAR: a Data-driven PAssword Recommendation system based on a dataset of 905 million leaked passwords. DPAR generates password recommendations by analyzing the user's given password and suggesting specific tweaks that would make it stronger while still keeping it memorable and similar to the original pass…

Gravitational-wave data analysis with high-precision numerical relativity simulations of boson star mergers
Tamara Evstafyeva, Ulrich Sperhake, Isobel Romero-Shaw, Michalis Agathos
https://arxiv.org/abs/2406.02715

Gravitational-wave data analysis with high-precision numerical relativity simulations of boson star mergers
Gravitational-wave signals detected to date are commonly interpreted under the paradigm that they originate from pairs of black holes or neutron stars. Here, we explore the alternative scenario of boson-star signals being present in the data stream. We perform accurate and long ($\sim 20$ orbits) numerical simulations of boson-star binaries and inject the resulting strain into LIGO noise. Our Bayesian inference reveals that some boson-star signals. are degenerate with current approximants, albe…

Pre-trained Transformer Uncovers Meaningful Patterns in Human Mobility Data
Alameen Najjar
https://arxiv.org/abs/2406.04029 https://a…

Pre-trained Transformer Uncovers Meaningful Patterns in Human Mobility Data
We empirically demonstrate that a transformer pre-trained on country-scale unlabeled human mobility data learns embeddings capable, through fine-tuning, of developing a deep understanding of the target geography and its corresponding mobility patterns. Utilizing an adaptation framework, we evaluate the performance of our pre-trained embeddings in encapsulating a broad spectrum of concepts directly and indirectly related to human mobility. This includes basic notions, such as geographic location…

なんで椅子の高さ調整機能すぐに死んでしまうん [参照]

Identification of PK-PD Insulin Models using Experimental GIR Data
Kirstine Sylvest Freil, Liv Olivia Fritzen, Dimitri Boiroux, Tinna B. Aradottir, John Bagterp J{\o}rgensen
https://arxiv.org/abs/2406.03178

Identification of PK-PD Insulin Models using Experimental GIR Data
We present a method to estimate parameters in pharmacokinetic (PK) and pharmacodynamic (PD) models for glucose insulin dynamics in humans. The method combines 1) experimental glucose infusion rate (GIR) data from glucose clamp studies and 2) a PK-PD model to estimate parameters such that the model fits the data. Assuming that the glucose clamp is perfect, we do not need to know the details of the controller in the clamp, and the GIR can be computed directly from the PK-PD model. To illustrate t…

Netravalkar is doing a pretty terrible job of bowling the super over for the USA.

BUT the USA won! Amazing.

#Cricket #SportsBall #T20WC

This https://arxiv.org/abs/2405.18942 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csLO_…

Verifiably Robust Conformal Prediction
Conformal Prediction (CP) is a popular uncertainty quantification method that provides distribution-free, statistically valid prediction sets, assuming that training and test data are exchangeable. In such a case, CP's prediction sets are guaranteed to cover the (unknown) true test output with a user-specified probability. Nevertheless, this guarantee is violated when the data is subjected to adversarial attacks, which often result in a significant loss of coverage. Recently, several approaches…

Schrems NGO files 11 complaints across Europe over Meta’s use of data to train AI
https://poliverso.org/display/0477a01e-47675e95-672edc34fa5796e2
Schrems NGO files 11 complaints across Europe over Meta’s use of data to train AIDigital rights NGO No…

Bei unserem Projekt ADA Bayern geht es darum, echte Probleme im öffentlichen Sektor mit Hilfe von Daten zu lösen.
Derzeit sind wir auf der Suche nach neuen Problemen, die wir lösen können oder Fragen, die wir beantworten können. Projekte in Bayern können wir kostenlos durchführen.
Mehr dazu in meinem Newsletter.
https://buff.ly/…

Data literacy in the public sector

Data-driven Explainable Controller for Soft Robots based on Recurrent Neural Networks
Zixi Chen, Xuyang Ren, Gastone Ciuti, Cesare Stefanini
https://arxiv.org/abs/2406.04094

Data-driven Explainable Controller for Soft Robots based on Recurrent Neural Networks
The nonlinearity and hysteresis of soft robot motions have posed challenges in accurate soft robot control. Neural networks, especially recurrent neural networks (RNNs), have been widely leveraged for this issue due to their nonlinear activation functions and recurrent structures. Although they have shown satisfying accuracy in most tasks, these black-box approaches are not explainable, and hence, they are unsuitable for areas with high safety requirements, like robot-assisted surgery. Based on…

Reducing the climate impact of data portals: a case study
Noah Gie{\ss}ing, Madhurima Deb, Ankit Satpute, Moritz Schubotz, Olaf Teschke
https://arxiv.org/abs/2406.03858

Reducing the climate impact of data portals: a case study
The carbon footprint share of the information and communication technology (ICT) sector has steadily increased in the past decade and is predicted to make up as much as 23 \% of global emissions in 2030. This shows a pressing need for developers, including the information retrieval community, to make their code more energy-efficient. In this project proposal, we discuss techniques to reduce the energy footprint of the MaRDI (Mathematical Research Data Initiative) Portal, a MediaWiki-based knowl…

Chromatic Topological Data Analysis
Sebastiano Cultrera di Montesano, Ondrej Draganov, Herbert Edelsbrunner, Morteza Saghafian
https://arxiv.org/abs/2406.04102

Chromatic Topological Data Analysis
Exploring the shape of point configurations has been a key driver in the evolution of TDA (short for topological data analysis) since its infancy. This survey illustrates the recent efforts to broaden these ideas to model spatial interactions among multiple configurations, each distinguished by a color. It describes advances in this area and prepares the ground for further exploration by mentioning unresolved questions and promising research avenues while focusing on the overlap with discrete g…

RIVM rioolwaarden update.
Zagen we afgelopen woensdag een zwieper omhoog, vandaag is het juist weer een zwieper omlaag.
Dit door 2 nieuwe dagen in de data: 3 en 4 juni, met ongeveer 30% van de meetstations. Maar ook door het aanpassen van de dagen daarvoor, waardoor de beweging richting de 300 die we woensdag zagen weer helemaal weg is.
#qp2t

This https://arxiv.org/abs/2312.01565 has been replaced.
link: https://scholar.google.com/scholar?q=a

Finding mixed memberships in categorical data
Latent class analysis, a fundamental problem in categorical data analysis, often encounters overlapping latent classes that introduce further challenges. This paper presents a solution to this problem by focusing on finding latent mixed memberships of subjects in categorical data with polytomous responses. We employ the Grade of Membership (GoM) model, which assigns each subject a membership score in each latent class. To address this, we propose two efficient spectral algorithms for estimating…

Der in Artikel 40 Digital Services Act verankerte Forschungszugang weckte große Hoffnungen, aber die Umsetzung im Digitale Dienste Gesetz enttäuschte: der Artikel 40 kommt dort weiter nicht vor, Akkreditierungsfragen sind nicht wirklich gelöst und ein Forschungsetat von 300.000 € beim Digital Services Coordinator ist auch - überschaubar. Hier kann man aber auf dem laufenden bleiben:

If you see a domain name ending in .ai that means the island of Anguilla got some money, as it is the owner of this country domain.

”For each domain registration, Anguilla’s government gets anywhere from $140 to thousands of dollars from website names sold at auctions, according government data.”

In 2023 just over 20% of the government’s total revenue came from these registrations.

”[…] the government used the money to provide free health care for citizens 70 and olde…

United Airlines starts showing personalized ads in its app and on seat-back screens, one of an increasing number of companies monetizing customer data (Patience Haggin/Wall Street Journal)
https://www.…

Learning from the present for the future: the Juelich LOFAR Long-term Archive
C. Manzano, A. Miskolczi, H. Stiele., V. Vybornov, T. Fieseler, S. Pfalzner
https://arxiv.org/abs/2406.03547

Learning from the present for the future: the Juelich LOFAR Long-term Archive
The Forschungszentrum Juelich has been hosting the German part of the LOFAR archive since 2013. It is Germany's most extensive radio astronomy archive, currently storing nearly 22 petabytes (PB) of data. Future radio telescopes are expected to require a dramatic increase in long-term data storage. Here, we take stock of the current data management of the Juelich LOFAR Data Archive, describe the ingestion, the storage system, the export to the long-term archive, and the request chain. We analyse…

This https://arxiv.org/abs/2307.13574 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_…

Unraveling the early universe's equation of state and primordial black hole production with PTA, BBN, and CMB observations
Pulsar timing array (PTA) data releases showed strong evidence for a stochastic gravitational-wave background in the nanohertz band. When the signal is interpreted by a scenario of scalar-induced gravitational waves (SIGWs), we encounter overproduction of primordial black holes (PBHs). We wonder if varying the equation of state (EoS) of the early Universe can resolve this issue and thereby lead to a consistent interpretation of the PTA data. Analyzing a data combination of PTA, big-bang nucleos…

Gefragt wird beim #4CultureCommunityPlenary, wie man Metadaten eines Projektes in den Culture Knowledge Graph integrieren kann.
➡️ Hierzu gibt es die CGIF Specification: https://nfdi4culture.de/go/E3712

You know your bug report and patch made an impact when upstream adds to their instructions:
> - Please only make changes or add data to locales you're familiar with.
#Gentoo

At the 4th NFDI4Culture Community Plenary, Brian Switzer from HTWG Konstanz is presenting the Graphic Design History Database (GERD), which was funded by NFDI4C-FlexFunds. The Upgrade involved enriching the database with additional data records and improving functionality
GERD web site: http://p665966.mittwaldserver.info/<…

Log Parsing with Self-Generated In-Context Learning and Self-Correction
Yifan Wu, Siyu Yu, Ying Li
https://arxiv.org/abs/2406.03376 https://

Log Parsing with Self-Generated In-Context Learning and Self-Correction
Log parsing transforms log messages into structured formats, serving as a crucial step for log analysis. Despite a variety of log parsing methods that have been proposed, their performance on evolving log data remains unsatisfactory due to reliance on human-crafted rules or learning-based models with limited training data. The recent emergence of large language models (LLMs) has demonstrated strong abilities in understanding natural language and code, making it promising to apply LLMs for log p…

Meta's AI plans are against EU law, says @…'s Max Schrems
'This is clearly the opposite of GDPR compliance'
https://www.computing.co.u…

Meta's AI plans are against EU law, says Max Schrems
Meta updated its privacy policy in May, notifying millions of European users of changes that allow the company to use their personal data for undefined "AI technology".

Google will store Maps Timeline data locally on users' devices instead of their Google account starting December 1, after announcing the change in December 2023 (Emma Roth/The Verge)
https://www.theverge.com/2024/6/5/24172204/google-maps…

Google Maps is making a big privacy change to protect your location history
Google Maps will only store your “Timeline” location history on your mobile device starting December 1st, 2024. It will delete your data if you don’t opt in to the new settings by then.

hi community,
#WorldEnvironmentDay

VisLTR: Visualization-in-the-Loop Table Reasoning
Jianing Hao, Zhuowen Liang, Chunting Li, Yuyu Luo, Wei Zeng
https://arxiv.org/abs/2406.03753 https://

VisLTR: Visualization-in-the-Loop Table Reasoning
Table reasoning transforms user requirements into corresponding answers according to the provided table, which is often integrated with natural language interfaces for lay users to explore tabular data effortlessly. Recent research exploits large language models to facilitate table reasoning, by transforming vague user requirements into structured query languages (SQLs). However, these SQL-based approaches often overlook changes in data patterns, suffer from LLM drift, and limit exploration to …

Ember data are terrific! https://ember-climate.org/data/data-tools/data-explorer/

Indexing Finite-State Automata Using Forward-Stable Partitions
Ruben Becker, Sung-Hwan Kim, Nicola Prezza, Carlo Tosoni
https://arxiv.org/abs/2406.02763 ht…

Indexing Finite-State Automata Using Forward-Stable Partitions
An index on a finite-state automaton is a data structure able to locate specific patterns on the automaton's paths and consequently on the regular language accepted by the automaton itself. Cotumaccio and Prezza [SODA '21], introduced a data structure able to solve pattern matching queries on automata, generalizing the famous FM-index for strings of Ferragina and Manzini [FOCS '00]. The efficiency of their index depends on the width of a particular partial order of the automaton's states, the s…

Wiesz, że twoje zgłoszenie i łatka miały znaczenie, kiedy autor dodaje notatkę:
> - Proszę wprowadzać zmiany albo dodawać dane wyłącznie dla lokalizacji, których ma się znajomość.
[tłum. własne]
https://github.com/joke2k/faker/blob/1<…

Is this just sloppy speaking or do people really believe that „AI understands sth and then helps you do sth“, while it rather is „the #GenAI-based system extracts features from existing data and applies them to new data“?
#XMLPrague

Hurry: Dynamic Collaborative Framework For Low-orbit Mega-Constellation Data Downloading
Handong Luo, Wenhao Liu, Qi Zhang, Ziheng Yang, Quanwei Lin, Wenjun Zhu, Kun Qiu, Zhe Chen, Yue Gao
https://arxiv.org/abs/2406.03159

Hurry: Dynamic Collaborative Framework For Low-orbit Mega-Constellation Data Downloading
Low-orbit mega-constellation network, which utilize thousands of satellites to provide a variety of network services and collect a wide range of space information, is a rapidly growing field. Each satellite collects TB-level data daily, including delay-sensitive data used for crucial tasks, such as military surveillance, natural disaster monitoring, and weather forecasting. According to NASA's statement, these data need to be downloaded to the ground for processing within 3 to 5 hours. To reduc…

So pleased I've avoided the Adobe trap since they stopped offering Lightroom as a pay-one piece of software
https://mastodon.art/@naturesketchbook/112571128351775689

Validation of the Bond et al. (2010) SDSS-derived kinematic models for the Milky Way's disk and halo stars with Gaia Data Release 3 proper motion and radial velocity data
Bruno Dom\'inguez, Siddharth Chaini, Karlo Mrakov\v{c}i\'c, Brandon Sallee, \v{Z}eljko Ivezi\'c
https://arxiv.org/abs/2406.03541

Validation of the Bond et al. (2010) SDSS-derived kinematic models for the Milky Way's disk and halo stars with Gaia Data Release 3 proper motion and radial velocity data
We validate the Bond et al. (2010) kinematic models for the Milky Way's disk and halo stars with Gaia Data Release 3 data. Bond et al. constructed models for stellar velocity distributions using stellar radial velocities measured by the Sloan Digital Sky Survey (SDSS) and stellar proper motions derived from SDSS and the Palomar Observatory Sky Survey astrometric measurements. These models describe velocity distributions as functions of position in the Galaxy, with separate models for disk and h…

This https://arxiv.org/abs/2309.03316 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_sta…

Spatial data fusion adjusting for preferential sampling using INLA and SPDE
Spatially misaligned data can be fused by using a Bayesian melding model that assumes that underlying all observations there is a spatially continuous Gaussian random field process. This model can be used, for example, to predict air pollution levels by combining point data from monitoring stations and areal data from satellite imagery. However, if the data presents preferential sampling, that is, if the observed point locations are not independent of the underlying spatial process, the infer…

Crypto miners are trying to ride the AI boom by converting data centers to rent out to AI companies or by selling computing power directly to AI clients (David Pan/Bloomberg)
https://www.bloomberg.com/news/articles/20

This https://arxiv.org/abs/2402.05498 has been replaced.
link: https://scholar.google.com/scholar?q=a

A Solution for Commercializing, Decentralizing and Storing Electronic Medical Records by Integrating Proxy Re-Encryption, IPFS, and Blockchain
The rapid expansion of user medical records across global systems presents not only opportunities but also new challenges in maintaining effective application models that ensure user privacy, controllability, and the ability to commercialize patient medical records. Moreover, the proliferation of data analysis models in healthcare institutions necessitates the decentralization and restorability of medical record data. It is imperative that user medical data collected from these systems can be e…

This https://arxiv.org/abs/2311.08207 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_ees…

Data-driven Control Against False Data Injection Attacks
The rise of cyber-security concerns has brought significant attention to the analysis and design of cyber-physical systems (CPSs). Among the various types of cyberattacks, denial-of-service (DoS) attacks and false data injection (FDI) attacks can be easily launched and have become prominent threats. While resilient control against DoS attacks has received substantial research efforts, countermeasures developed against FDI attacks have been relatively limited, particularly when explicit system m…

pokec: Pokec online social network (2012)
The online social network of Pokec, a popular OSN in Slovakia, from 2012. Date covers about 10 years and more than 1.6 million people. Profile data contains gender, age, hobbies, interest, education etc. Profile metadata are in Slovak language. Friendships in Pokec are oriented.
This network has 1632804 nodes and 30622564 edges.
Tags: Social, Online, Metadata

Texas attorney general investigating several connected car manufacturers over data sharing https://therecord.media/texas-ag-launches-connected-cars-probe

Texas attorney general investigating several connected car manufacturers over data sharing
The investigation follows reports the connected car industry secretly siphons and sells vast amounts of data extracted directly from drivers’ vehicles.

Chromatic Topological Data Analysis
Sebastiano Cultrera di Montesano, Ondrej Draganov, Herbert Edelsbrunner, Morteza Saghafian
https://arxiv.org/abs/2406.04102

Chromatic Topological Data Analysis
Exploring the shape of point configurations has been a key driver in the evolution of TDA (short for topological data analysis) since its infancy. This survey illustrates the recent efforts to broaden these ideas to model spatial interactions among multiple configurations, each distinguished by a color. It describes advances in this area and prepares the ground for further exploration by mentioning unresolved questions and promising research avenues while focusing on the overlap with discrete g…

Here's Microsoft's announcement:
"First, we are updating the set-up experience of Copilot PCs to give people a clearer choice to opt-in to saving snapshots using Recall. If you don’t proactively choose to turn it on, it will be off by default."
"Second, Windows Hello enrollment is required to enable Recall. In addition, proof of presence is also required to view your timeline and search in Recall."
"Third, we are adding additional layers of data protection including “just in time” decryption protected by Windows Hello Enhanced Sign-in Security (ESS) so Recall snapshots will only be decrypted and accessible when the user authenticates. In addition, we encrypted the search index database."
Plus, a whole bunch of stuff about enhanced security for Copilot PCs
https://blogs.windows.com/windowsexperience/2024/06/07/update-on-the-recall-preview-feature-for-copilot-pcs/

Cara, an artist-run, anti-AI social platform, grew from 40K to 650K users in the past week, as some Instagram artists leave over plans to train AI on user data (Amanda Silberling/TechCrunch)
https://techcr…

A social app for creatives, Cara grew from 40k to 650k users in a week because artists are fed up with Meta’s AI policies | TechCrunch
Artists have finally had enough with Meta’s predatory AI policies, but Meta’s loss is Cara’s gain. An artist-run, anti-AI social platform, Cara has grown

Collision-Affording Point Trees: SIMD-Amenable Nearest Neighbors for Fast Collision Checking
Clayton W. Ramsey, Zachary Kingston, Wil Thomason, Lydia E. Kavraki
https://arxiv.org/abs/2406.02807

Collision-Affording Point Trees: SIMD-Amenable Nearest Neighbors for Fast Collision Checking
Motion planning against sensor data is often a critical bottleneck in real-time robot control. For sampling-based motion planners, which are effective for high-dimensional systems such as manipulators, the most time-intensive component is collision checking. We present a novel spatial data structure, the collision-affording point tree (CAPT): an exact representation of point clouds that accelerates collision-checking queries between robots and point clouds by an order of magnitude, with an aver…

Copula-based models for correlated circular data
Francesco Lagona, Marco Mingione
https://arxiv.org/abs/2406.04085 https://arxiv.org/…

Copula-based models for correlated circular data
We exploit Gaussian copulas to specify a class of multivariate circular distributions and obtain parametric models for the analysis of correlated circular data. This approach provides a straightforward extension of traditional multivariate normal models to the circular setting, without imposing restrictions on the marginal data distribution nor requiring overwhelming routines for parameter estimation. The proposal is illustrated on two case studies of animal orientation and sea currents, where …

“The Premier League also states there were only five incorrect VAR interventions last season”
Anyone who watched more than a handful of games would dispute that (and #PGMOL apologised for more than that!)
I’d go as far as saying there were more than five incorrect #VAR interve…

movielens_100k: MovieLens 100K (1998)
Three bipartite networks that make up the MovieLens 100K Dataset, a stable benchmark dataset of 100,000 ratings from 1000 users on 1700 movies. These data capture the tag-movie, user-movie, and user-tag networks. (Also available from MovieLens are 1M, 10M and 20M folksonomy datasets.).
This network has 24129 nodes and 95580 edges.
Tags: Informational, Folksonomy, Unweighted, Multigraph, Timestamps

Multivariate Physics-Informed Convolutional Autoencoder for Anomaly Detection in Power Distribution Systems with High Penetration of DERs
Mehdi Jabbari Zideh, Sarika Khushalani Solanki
https://arxiv.org/abs/2406.02927

Multivariate Physics-Informed Convolutional Autoencoder for Anomaly Detection in Power Distribution Systems with High Penetration of DERs
Despite the relentless progress of deep learning models in analyzing the system conditions under cyber-physical events, their abilities are limited in the power system domain due to data availability issues, cost of data acquisition, and lack of interpretation and extrapolation for the data beyond the training windows. In addition, the integration of distributed energy resources (DERs) such as wind and solar generations increases the complexities and nonlinear nature of power systems. Therefore…

Collision-Affording Point Trees: SIMD-Amenable Nearest Neighbors for Fast Collision Checking
Clayton W. Ramsey, Zachary Kingston, Wil Thomason, Lydia E. Kavraki
https://arxiv.org/abs/2406.02807

Collision-Affording Point Trees: SIMD-Amenable Nearest Neighbors for Fast Collision Checking
Motion planning against sensor data is often a critical bottleneck in real-time robot control. For sampling-based motion planners, which are effective for high-dimensional systems such as manipulators, the most time-intensive component is collision checking. We present a novel spatial data structure, the collision-affording point tree (CAPT): an exact representation of point clouds that accelerates collision-checking queries between robots and point clouds by an order of magnitude, with an aver…

How do people organise their micro-SD cards?
I've got about 7 or 8 with different OSes for #RaspberryPi, plus a few others that get used for occasional data storage & file transfer.
It's not like the old days with floppy disks that had a cover label large enough to write stuff on.
Maybe I need a cute little box to store them in, where each card can live in a labelled compartment, something like that.

This https://arxiv.org/abs/2310.05141 has been replaced.
link: https://scholar.google.com/scholar?q=a

Transferable Availability Poisoning Attacks
We consider availability data poisoning attacks, where an adversary aims to degrade the overall test accuracy of a machine learning model by crafting small perturbations to its training data. Existing poisoning strategies can achieve the attack goal but assume the victim to employ the same learning method as what the adversary uses to mount the attack. In this paper, we argue that this assumption is strong, since the victim may choose any learning algorithm to train the model as long as it can …

Gradient Boosting for Hierarchical Data in Small Area Estimation
Paul Messer, Timo Schmid
https://arxiv.org/abs/2406.04256 https://ar…

Gradient Boosting for Hierarchical Data in Small Area Estimation
This paper introduces Mixed Effect Gradient Boosting (MEGB), which combines the strengths of Gradient Boosting with Mixed Effects models to address complex, hierarchical data structures often encountered in statistical analysis. The methodological foundations, including a review of the Mixed Effects model and the Extreme Gradient Boosting method, leading to the introduction of MEGB are shown in detail. It highlights how MEGB can derive area-level mean estimations from unit-level data and calcul…

terrorists_911: 9-11 terrorist network
Network of individuals and their known social associations, centered around the hijackers that carried out the September 11th, 2001 terrorist attacks. Associations extracted after-the-fact from public data. Metadata labels say which plane a person was on, if any, on 9/11.
This network has 62 nodes and 152 edges.
Tags: Social, Offline, Unweighted, Metadata

The FBI urges LockBit ransomware victims to come forward after obtaining 7,000 decryption keys to recover data; police seized 2,500 keys in February 2024 (Sergiu Gatlan/BleepingComputer)
https://www.bleepingcomputer.com/news/secu

Combining an experimental study with external data: study designs and identification strategies
Lawson Ung, Guanbo Wang, Sebastien Haneuse, Miguel A. Hernan, Issa J. Dahabreh
https://arxiv.org/abs/2406.03302

Combining an experimental study with external data: study designs and identification strategies
There is increasing interest in combining information from experimental studies, including randomized and single-group trials, with information from external experimental or observational data sources. Such efforts are usually motivated by the desire to compare treatments evaluated in different studies -- for instance, through the introduction of external treatment groups -- or to estimate treatment effects with greater precision. Proposals to combine experimental studies with external data wer…

How do people organise their micro-SD cards?
I've got about 7 or 8 with different OSes for #RaspberryPi, plus a few others that get used for occasional data storage & file transfer.
It's not like the old days with floppy disks that had a cover label large enough to write stuff on.
Maybe I need a cute little box to store them in, where each card can live in a labelled compartment, something like that.

This https://arxiv.org/abs/2310.05141 has been replaced.
link: https://scholar.google.com/scholar?q=a

Transferable Availability Poisoning Attacks
We consider availability data poisoning attacks, where an adversary aims to degrade the overall test accuracy of a machine learning model by crafting small perturbations to its training data. Existing poisoning strategies can achieve the attack goal but assume the victim to employ the same learning method as what the adversary uses to mount the attack. In this paper, we argue that this assumption is strong, since the victim may choose any learning algorithm to train the model as long as it can …

Control of Microrobots Using Model Predictive Control and Gaussian Processes for Disturbance Estimation
Mehdi Kermanshah, Logan E. Beaver, Max Sokolich, Sambeeta Das, Ron Weiss, Roberto Tron, Calin Belta
https://arxiv.org/abs/2406.02722

Control of Microrobots Using Model Predictive Control and Gaussian Processes for Disturbance Estimation
This paper presents a control framework for magnetically actuated micron-scale robots ($μ$bots) designed to mitigate disturbances and improve trajectory tracking. To address the challenges posed by unmodeled dynamics and environmental variability, we combine data-driven modeling with model-based control to accurately track desired trajectories using a relatively small amount of data. The system is represented with a simple linear model, and Gaussian Processes (GP) are employed to capture and e…

dutch_school: Dutch school friendships (2003)
A series of snapshots of the friendships among freshmen at secondary school in The Netherlands, in 2003-2004. Friendship ties were surveyed four times, at three month intervals. The direction of an edge indicates that student i is friends with student j. Missing data is coded as 0 or 10. Metadata includes sex, age, ethnicity, and religion.
This network has 26 nodes and 87 edges.
Tags: Social, Offline, Unweighted, Metadata, Tempo…

Mistral introduces AI model customization options, including an SDK for fine-tuning its models on workstations, servers, and small data center nodes (Kyle Wiggers/TechCrunch)
https://techcrunch.com/2024/06/05/mistral-launc…

Mistral launches new services, SDK to let customers fine-tune its models | TechCrunch
French AI startup Mistral has launched model fine-tuning services to let customers and developers tailor its models for specific use cases.

This https://arxiv.org/abs/2403.17321 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_sta…

A Bayesian shrinkage estimator for transfer learning
Transfer learning (TL) has emerged as a powerful tool to supplement data collected for a target task with data collected for a related source task. The Bayesian framework is natural for TL because information from the source data can be incorporated in the prior distribution for the target data analysis. In this paper, we propose and study Bayesian TL methods for the normal-means problem and multiple linear regression. We propose two classes of prior distributions. The first class assumes the d…

Mistral introduces AI model customization options, including an SDK for fine-tuning its models on workstations, servers, and small data center nodes (Kyle Wiggers/TechCrunch)
https://techcrunch.com/2024/06/05/mistral-launc…

Mistral launches new services, SDK to let customers fine-tune its models | TechCrunch
French AI startup Mistral has launched model fine-tuning services to let customers and developers tailor its models for specific use cases.

us_agencies: U.S. government agency websites (2018)
50 networks, one for each U.S. state, representing the web-based links between their associated government agencies websites. A node is an entire agency website and a directed edge (i,j) represents the existence of a hyperlink from any webpage in website i to some webpage in website j. Data was collected with a crawler. Nodes are annotated with the number of webpages per website, website name (related to its government function) and U…

Control of Microrobots Using Model Predictive Control and Gaussian Processes for Disturbance Estimation
Mehdi Kermanshah, Logan E. Beaver, Max Sokolich, Sambeeta Das, Ron Weiss, Roberto Tron, Calin Belta
https://arxiv.org/abs/2406.02722

Control of Microrobots Using Model Predictive Control and Gaussian Processes for Disturbance Estimation
This paper presents a control framework for magnetically actuated micron-scale robots ($μ$bots) designed to mitigate disturbances and improve trajectory tracking. To address the challenges posed by unmodeled dynamics and environmental variability, we combine data-driven modeling with model-based control to accurately track desired trajectories using a relatively small amount of data. The system is represented with a simple linear model, and Gaussian Processes (GP) are employed to capture and e…

This https://arxiv.org/abs/2405.20975 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csCR_…

ACE: A Model Poisoning Attack on Contribution Evaluation Methods in Federated Learning
In Federated Learning (FL), a set of clients collaboratively train a machine learning model (called global model) without sharing their local training data. The local training data of clients is typically non-i.i.d. and heterogeneous, resulting in varying contributions from individual clients to the final performance of the global model. In response, many contribution evaluation methods were proposed, where the server could evaluate the contribution made by each client and incentivize the high-…

This https://arxiv.org/abs/2404.18000 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_sta…

Thinking inside the bounds: Improved error distributions for indifference point data analysis and simulation via beta regression using common discounting functions
Standard nonlinear regression is commonly used when modeling indifference points due to its ability to closely follow observed data, resulting in a good model fit. However, standard nonlinear regression currently lacks a reasonable distribution-based framework for indifference points, which limits its ability to adequately describe the inherent variability in the data. Software commonly assumes data follow a normal distribution with constant variance. However, typical indifference points do not…

Cara, an artist-run, anti-AI social platform, grew from 40K to 650K users in the past week, as some Instagram artists leave over plans to train AI on user data (Amanda Silberling/TechCrunch)
https://techcr…

A social app for creatives, Cara grew from 40k to 650k users in a week because artists are fed up with Meta’s AI policies | TechCrunch
Artists have finally had enough with Meta’s predatory AI policies, but Meta’s loss is Cara’s gain. An artist-run, anti-AI social platform, Cara has grown

This https://arxiv.org/abs/2406.00199 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csCR_…

Exfiltration of personal information from ChatGPT via prompt injection
We report that ChatGPT 4 and 4o are susceptible to a prompt injection attack that allows an attacker to query users' personal data. It is applicable without the use of any 3rd party tools and all users are currently affected. This vulnerability is exacerbated by the recent introduction of ChatGPT's memory feature, which allows an attacker to command ChatGPT to monitor the user for the desired personal data.

A website for cybercriminals lists 500 allegedly stolen Snowflake customer credentials, including for environments belonging to Santander and Ticketmaster (Zack Whittaker/TechCrunch)
https://techcrunch.com/2024/06/05/snowflake-cus…

Hundreds of Snowflake customer passwords found online are linked to info-stealing malware | TechCrunch
Snowflake is the latest company in a string of high-profile security incidents and sizable data breaches caused by the lack of MFA.

This https://arxiv.org/abs/2406.00199 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csCR_…

Exfiltration of personal information from ChatGPT via prompt injection
We report that ChatGPT 4 and 4o are susceptible to a prompt injection attack that allows an attacker to query users' personal data. It is applicable without the use of any 3rd party tools and all users are currently affected. This vulnerability is exacerbated by the recent introduction of ChatGPT's memory feature, which allows an attacker to command ChatGPT to monitor the user for the desired personal data.

Discrete Autoregressive Switching Processes in Sparse Graphical Modeling of Multivariate Time Series Data
Beniamino Hadj-Amar, Aaron M. Bornstein, Michele Guindani, Marina Vannucci
https://arxiv.org/abs/2406.03385

Discrete Autoregressive Switching Processes in Sparse Graphical Modeling of Multivariate Time Series Data
We propose a flexible Bayesian approach for sparse Gaussian graphical modeling of multivariate time series. We account for temporal correlation in the data by assuming that observations are characterized by an underlying and unobserved hidden discrete autoregressive process. We assume multivariate Gaussian emission distributions and capture spatial dependencies by modeling the state-specific precision matrices via graphical horseshoe priors. We characterize the mixing probabilities of the hidde…

This https://arxiv.org/abs/2212.01976 has been replaced.
link: https://scholar.google.com/scholar?q=a

FedCC: Robust Federated Learning against Model Poisoning Attacks
Federated Learning, designed to address privacy concerns in learning models, introduces a new distributed paradigm that safeguards data privacy but differentiates the attack surface due to the server's inaccessibility to local datasets and the change in protection objective--parameters' integrity. Existing approaches, including robust aggregation algorithms, fail to effectively filter out malicious clients, especially those with non-Independently and Identically Distributed data. Furthermore, t…

Copula-based semiparametric nonnormal transformed linear model for survival data with dependent censoring
Huazhen Yu, Lixin Zhang
https://arxiv.org/abs/2406.02948

Copula-based semiparametric nonnormal transformed linear model for survival data with dependent censoring
Although the independent censoring assumption is commonly used in survival analysis, it can be violated when the censoring time is related to the survival time, which often happens in many practical applications. To address this issue, we propose a flexible semiparametric method for dependent censored data. Our approach involves fitting the survival time and the censoring time with a joint transformed linear model, where the transformed function is unspecified. This allows for a very general cl…

This https://arxiv.org/abs/2212.01976 has been replaced.
link: https://scholar.google.com/scholar?q=a

FedCC: Robust Federated Learning against Model Poisoning Attacks
Federated Learning, designed to address privacy concerns in learning models, introduces a new distributed paradigm that safeguards data privacy but differentiates the attack surface due to the server's inaccessibility to local datasets and the change in protection objective--parameters' integrity. Existing approaches, including robust aggregation algorithms, fail to effectively filter out malicious clients, especially those with non-Independently and Identically Distributed data. Furthermore, t…

Variational Prior Replacement in Bayesian Inference and Inversion
Xuebin Zhao, Andrew Curtis
https://arxiv.org/abs/2406.04072 https://

Variational Prior Replacement in Bayesian Inference and Inversion
Many scientific investigations require that the values of a set of model parameters are estimated using recorded data. In Bayesian inference, information from both observed data and prior knowledge is combined to update model parameters probabilistically. Prior information represents our belief about the range of values that the variables can take, and their relative probabilities when considered independently of recorded data. Situations arise in which we wish to change prior information: (i) …