55 citations · 285 across the 20 of their papers we have counts for
23 papers
Taking Advice from (Dis)Similar Machines: The Impact of Human-Machine Similarity on Machine-Assisted Decision-Making
Nina Grgić-Hlača, Claude Castelluccia, Krishna P. Gummadi
Machine learning algorithms are increasingly used to assist human decision-making. When the goal of machine assistance is to improve the accuracy of human decisions, it might seem…
Towards a Governance Framework for Brain Data
Marcello Ienca, Joseph J. Fins, Ralf J. Jox +17
The increasing availability of brain data within and outside the biomedical field, combined with the application of artificial intelligence (AI) to brain data analysis, poses a cha…
Constrained Differentially Private Federated Learning for Low-bandwidth Devices
Raouf Kerkouche, Gergely Ács, Claude Castelluccia +1
Federated learning becomes a prominent approach when different entities want to learn collaboratively a common model without sharing their training data. However, Federated learnin…
Compression Boosts Differentially Private Federated Learning
Raouf Kerkouche, Gergely Ács, Claude Castelluccia +1
Federated Learning allows distributed entities to train a common model collaboratively without sharing their own data. Although it prevents data collection and aggregation by excha…
Federated Learning in Adversarial Settings
Raouf Kerkouche, Gergely Ács, Claude Castelluccia
Federated Learning enables entities to collaboratively learn a shared prediction model while keeping their training data locally. It prevents data collection and aggregation and, t…
DESIRE: A Third Way for a European Exposure Notification System Leveraging the best of centralized and decentralized systems
Claude Castelluccia, Nataliia Bielova, Antoine Boutet +4
This document presents an evolution of the ROBERT protocol that decentralizes most of its operations on the mobile devices. DESIRE is based on the same architecture than ROBERT but…
To Extend or not to Extend: on the Uniqueness of Browser Extensions and Web Logins
Gabor Gyorgy Gulyas, Doliere Francis Some, Nataliia Bielova +1
Recent works showed that websites can detect browser extensions that users install and websites they are logged into. This poses significant privacy risks, since extensions and Web…
Differentially Private Mixture of Generative Neural Networks
Gergely Acs, Luca Melis, Claude Castelluccia +1
Generative models are used in a wide range of applications building on large amounts of contextually rich information. Due to possible privacy violations of the individuals whose d…
MobileAppScrutinator: A Simple yet Efficient Dynamic Analysis Approach for Detecting Privacy Leaks across Mobile OSs
Jagdish Prasad Achara, Vincent Roca, Claude Castelluccia +1
Smartphones, the devices we carry everywhere with us, are being heavily tracked and have undoubtedly become a major threat to our privacy. As "tracking the trackers" has become a n…
Near-Optimal Fingerprinting with Constraints
Gabor Gyorgy Gulyas, Gergely Acs, Claude Castelluccia
Several recent studies have demonstrated that people show large behavioural uniqueness. This has serious privacy implications as most individuals become increasingly re-identifiabl…
MyTrackingChoices: Pacifying the Ad-Block War by Enforcing User Privacy Preferences
Jagdish Prasad Achara, Javier Parra-Arnau, Claude Castelluccia
Free content and services on the Web are often supported by ads. However, with the proliferation of intrusive and privacy-invasive ads, a significant proportion of users have start…
MyAdChoices: Bringing Transparency and Control to Online Advertising
Javier Parra-Arnau, Jagdish Prasad Achara, Claude Castelluccia
The intrusiveness and the increasing invasiveness of online advertising have, in the last few years, raised serious concerns regarding user privacy and Web usability. As a reaction…
On the Unicity of Smartphone Applications
Jagdish Prasad Achara, Gergely Acs, Claude Castelluccia
Prior works have shown that the list of apps installed by a user reveal a lot about user interests and behavior. These works rely on the semantics of the installed apps and show th…
Retargeting Without Tracking
Minh-Dung Tran, Gergely Acs, Claude Castelluccia
Retargeting ads are increasingly prevalent on the Internet as their effectiveness has been shown to outperform conventional targeted ads. Retargeting ads are not only based on user…
When Privacy meets Security: Leveraging personal information for password cracking
Claude Castelluccia, Abdelberi Chaabane, Markus Dürmuth +1
Passwords are widely used for user authentication and, despite their weaknesses, will likely remain in use in the foreseeable future. Human-generated passwords typically have a ric…
DREAM: DiffeRentially privatE smArt Metering
Gergely Acs, Claude Castelluccia
This paper presents a new privacy-preserving smart metering system. Our scheme is private under the differential privacy model and therefore provides strong and provable guarantees…
One Bad Apple Spoils the Bunch: Exploiting P2P Applications to Trace and Profile Tor Users
Stevens Le Blond, Pere Manils, Chaabane Abdelberi +4
Tor is a popular low-latency anonymity network. However, Tor does not protect against the exploitation of an insecure application to reveal the IP address of, or trace, a TCP strea…
How Unique and Traceable are Usernames?
Daniele Perito, Claude Castelluccia, Mohamed Ali Kaafar +1
Suppose you find the same username on different online services, what is the probability that these usernames refer to the same physical person? This work addresses what appears to…
Compromising Tor Anonymity Exploiting P2P Information Leakage
Pere Manils, Chaabane Abdelberri, Stevens Le Blond +4
Privacy of users in P2P networks goes far beyond their current usage and is a fundamental requirement to the adoption of P2P protocols for legal usage. In a climate of cold war bet…
De-anonymizing BitTorrent Users on Tor
Stevens Le Blond, Pere Manils, Abdelberi Chaabane +4
Some BitTorrent users are running BitTorrent on top of Tor to preserve their privacy. In this extended abstract, we discuss three different attacks to reveal the IP address of BitT…
Private Information Disclosure from Web Searches. (The case of Google Web History)
Claude Castelluccia, Emiliano De Cristofaro, Daniele Perito
As the amount of personal information stored at remote service providers increases, so does the danger of data theft. When connections to remote services are made in the clear and…
EphPub: Toward Robust Ephemeral Publishing
Claude Castelluccia, Emiliano De Cristofaro, Aurelien Francillon +1
The increasing amount of personal and sensitive information disseminated over the Internet prompts commensurately growing privacy concerns. Digital data often lingers indefinitely…
Code injection attacks on harvard-architecture devices
Aurélien Francillon, Claude Castelluccia
Harvard architecture CPU design is common in the embedded world. Examples of Harvard-based architecture devices are the Mica family of wireless sensors. Mica motes have limited mem…