27 citations · 70 across the 7 of their papers we have counts for
7 papers
Copyright Traps for Large Language Models
Matthieu Meeus, Igor Shilov, Manuel Faysse +1
Questions of fair use of copyright-protected content to train Large Language Models (LLMs) are being actively debated. Document-level inference has been proposed as a new task: inf…
Deep perceptual hashing algorithms with hidden dual purpose: when client-side scanning does facial recognition
Shubham Jain, Ana-Maria Cretu, Antoine Cully +1
End-to-end encryption (E2EE) provides strong technical protections to individuals from interferences. Governments and law enforcement agencies around the world have however raised…
MM: A general method to perform various data analysis tasks from a differentially private sketch
Florimond Houssiau, Vincent Schellekens, Antoine Chatalic +2
Differential privacy is the standard privacy definition for performing analyses over sensitive data. Yet, its privacy budget bounds the number of tasks an analyst can perform with…
Adversarial Detection Avoidance Attacks: Evaluating the robustness of perceptual hashing-based client-side scanning
Shubham Jain, Ana-Maria Cretu, Yves-Alexandre de Montjoye
End-to-end encryption (E2EE) by messaging platforms enable people to securely and privately communicate with one another. Its widespread adoption however raised concerns that illeg…
Mapping the Privacy-Utility Tradeoff in Mobile Phone Data for Development
Alejandro Noriega-Campero, Alex Rutherford, Oren Lederman +2
Today's age of data holds high potential to enhance the way we pursue and monitor progress in the fields of development and humanitarian action. We study the relation between data…
Data for Refugees: The D4R Challenge on Mobility of Syrian Refugees in Turkey
Albert Ali Salah, Alex Pentland, Bruno Lepri +5
The Data for Refugees (D4R) Challenge is a non-profit challenge initiated to improve the conditions of the Syrian refugees in Turkey by providing a special database to scientific c…
When the signal is in the noise: Exploiting Diffix's Sticky Noise
Andrea Gadotti, Florimond Houssiau, Luc Rocher +2
Anonymized data is highly valuable to both businesses and researchers. A large body of research has however shown the strong limits of the de-identification release-and-forget mode…