348 citations · 382 across the 10 of their papers we have counts for
12 papers
Modeling Rabbit-Holes on YouTube
Erwan Le Merrer, Gilles Tredan, Ali Yesilkanat
Numerous discussions have advocated the presence of a so called rabbit-hole (RH) phenomenon on social media, interested in advanced personalization to their users. This phenomenon…
Leveraging Imperfect Sources to Detect Fairwashing in Black-Box Auditing
Jade Garcia Bourrée, Erwan Le Merrer, Gilles Tredan +1
Algorithmic auditing has become central to platform accountability under frameworks such as the AI Act and the Digital Services Act. In practice, this obligation is discharged thro…
FBI: Fingerprinting models with Benign Inputs
Thibault Maho, Teddy Furon, Erwan Le Merrer
Recent advances in the fingerprinting of deep neural networks detect instances of models, placed in a black-box interaction scheme. Inputs used by the fingerprinting protocols are…
RoBIC: A benchmark suite for assessing classifiers robustness
Thibault Maho, Benoît Bonnet, Teddy Furon +1
Many defenses have emerged with the development of adversarial attacks. Models must be objectively evaluated accordingly. This paper systematically tackles this concern by proposin…
SurFree: a fast surrogate-free black-box attack
Thibault Maho, Teddy Furon, Erwan Le Merrer
Machine learning classifiers are critically prone to evasion attacks. Adversarial examples are slightly modified inputs that are then misclassified, while remaining perceptively cl…
Adversarial Frontier Stitching for Remote Neural Network Watermarking
Erwan Le Merrer, Patrick Perez, Gilles Trédan
The state of the art performance of deep learning models comes at a high cost for companies and institutions, due to the tedious data collection and the heavy processing requiremen…
The topological face of recommendation: models and application to bias detection
Erwan Le Merrer, Gilles Trédan
Recommendation plays a key role in e-commerce and in the entertainment industry. We propose to consider successive recommendations to users under the form of graphs of recommendati…
Distributed deep learning on edge-devices: feasibility via adaptive compression
Corentin Hardy, Erwan Le Merrer, Bruno Sericola
A large portion of data mining and analytic services use modern machine learning techniques, such as deep learning. The state-of-the-art results by deep learning come at the price…
Uncovering Influence Cookbooks : Reverse Engineering the Topological Impact in Peer Ranking Services
Erwan Le Merrer, Gilles Trédan
Ensuring the early detection of important social network users is a challenging task. Some peer ranking services are now well established, such as PeerIndex, Klout, or Kred. Their…
(Re)partitioning for stream-enabled computation
Le Merrer Erwan, Liang Yizhong, Trédan Gilles
Partitioning an input graph over a set of workers is a complex operation. Objectives are twofold: split the work evenly, so that every worker gets an equal share, and minimize edge…
Clustered Network Coding for Maintenance in Practical Storage Systems
Anne-Marie Kermarrec, Erwan Le Merrer, Gilles Straub +1
Classical erasure codes, e.g. Reed-Solomon codes, have been acknowledged as an efficient alternative to plain replication to reduce the storage overhead in reliable distributed sto…
Pretty Private Group Management
Olivier Heen, Erwan Le Merrer, Christoph Neumann +1
Group management is a fundamental building block of today's Internet applications. Mailing lists, chat systems, collaborative document edition but also online social networks such…