This article does a great job highlighting why DOGE is taking over the federal government so easily: federal systems centralize massive amounts of sensitive data, making them highly vulnerable to insider threats. The article concludes by pointing out that techniques like #FederatedLearning and #DifferentialPrivacy could help build more resilient systems 
#Privacy #CyberSecurity
Time for a proper #introduction! 
I'm a #MachineLearning researcher at Inria, France, focusing on #TrustworthyAI—especially #decentralization & #privacy. I design algorithms that learn from #decentralized data (#FederatedLearning) without memorizing personal data (#DifferentialPrivacy), working toward putting #data & #AI back in people's hands. Maybe one day, these ideas could be used in the #Fediverse!
Datenschutzbedenken bei neuer Foto-Suche
Apple hat in iOS 18, iPadOS 18 und macOS Sequoia neue Funktionen für die Fotos-App eingeführt, die von vielen Nutzer:innen kritisch betrachtet werden. Die „Erweiterte visuelle Suche“, eine KI-gestützte Funktion zu
https://www.apfeltalk.de/magazin/news/datenschutzbedenken-bei-neuer-foto-suche/
#News #Services #AppleDatenschutz #Datenschutz #DifferentialPrivacy #ErweiterteVisuelleSuche #FotosApp #IOS18 #JeffJohnson #KIFunktionen #MacOSSequoia #Optin
I just turned in my #thesis for my MSc in #ComputerScience with #DataAnalytics at #UniversityofYork!
The title of my thesis is “Exploring the impact of data imbalance on ε-Differential Privacy” and I do just that using the open-source Python library developed by IBM, diffprivlib. I’d love to share the results of my experiments in a white paper of some kind. Does anyone I’m connected to have experience in converting a masters thesis into a white paper for a journal or conference?
@je5perl @ilumium And how will we know whether #ISRG passes a list of website visits to the NSA? https://www.isrg.org/privacy-policy/ isn't reassuring.
Claims of #DifferentialPrivacy would be more credible if enforced at the individual browser level. Presumably this would require at least that the browser send reports at intervals of several days, aggregating information from individual websites/publishers and adding noise about non-existing ads. But how to prevent collusion on deanonymising these? #AdTech
Interesting new open-source project from Google to do black-box Differential Privacy testing via divergence optimization over function spaces.
Haven't tried it yet but it seems to have promising results: "function-based estimators allow for a better discovery rate of privacy bugs compared to histogram estimation”
https://blog.research.google/2024/02/dp-auditorium-flexible-library-for.html
#DifferentialPrivacy #PETS
It seems like the rationale for #differentialprivacy assumes narrow individual self-interest.
Its promise to you is that nothing will be learned from you being part of a dataset that couldn't be learned without you being in it. So even if inferences from the data harm you, this would happen due to others participating anyway.
But that rationale only works if you assume people can't imagine co-operating to protect each other by not participating.
The basic logic of this is extreme horizontal dataset sharding. Imagine a dataset with loads of columns, then imagine each row is held on a different device. Techs such as multi-party computation #mpc, local #differentialPrivacy, can make use of this data.
But data is often not visible to the user. Firms claim they do not have to provide rights over it, eg access/portability. Some will put it in the secure enclave of eg a phone; makes it technically very hard to extract (e.g. biometric data).
Even though I've been working on this for a few years (and was in on the dry run for today!), I still learn something new at every workshop...
#2020Census #DisclosureAvoidance #DifferentialPrivacy #PAA2023
Azure Confidential Computing and Sarus Smart Privacy Solution are used to combine data from multiple parties and track financial crime, while protecting the security and privacy of personal data. Differential Privacy is implemented in data manipulation to minimize leakage risk and enable advanced detection approaches to detect criminal activities in financial transactions. https://techcommunity.microsoft.com/t5/ai-customer-engineering-team/tracking-financial-crime-with-azure-confidential-computing-and/ba-p/3711957 #AzureConfidentialComputing #SarusSmartPrivacy #DifferentialPrivacy
A collection of useful-yet-hard-to-find results and lemmas from the #differentialprivacy literature, compiled and summarized (with proofs and discussion) by Sophia Huang, currently undergrad at @UNSWCOMPUTING@twitter.com: https://arxiv.org/abs/2211.11189
Comments, feedback, and suggestions welcome!
Hello, fediverse!
We publish the academic open access journal Proceedings on Privacy Enhancing Technologies and host the annual Privacy Enhancing Technologies Symposium. We are a top research venue dedicated to novel applied and theoretical research into the design, analysis, experimentation, and fielding of privacy-enhancing technologies.
This account will mostly be for announcements about deadlines and events, but we'll also boost posts from our authors about their research, so follow along to learn about cool privacy things.
Please consider boosting so your pals can find us, too!
#privacy #tech #privacyTech #surveillance #anonymousCommunication #differentialPrivacy #censorshipResistance #dataProtection #HCI #trafficAnalysis #MLPrivacy #genomicPrivacy
#Introductions #TwitterMigration
