49 citations · 93 across the 28 of their papers we have counts for
6 papers · 1 filter
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 Images through Stega Glasses
Benoît Bonnet, Teddy Furon, Patrick Bas
This paper explores the connection between steganography and adversarial images. On the one hand, ste-ganalysis helps in detecting adversarial perturbations. On the other hand, ste…
An alternative proof of the vulnerability of retrieval in high intrinsic dimensionality neighborhood
Teddy Furon
This paper investigates the vulnerability of the nearest neighbors search, which is a pivotal tool in data analysis and machine learning. The vulnerability is gauged as the relativ…
Defending Adversarial Examples via DNN Bottleneck Reinforcement
Wenqing Liu, Miaojing Shi, Teddy Furon +1
This paper presents a DNN bottleneck reinforcement scheme to alleviate the vulnerability of Deep Neural Networks (DNN) against adversarial attacks. Typical DNN classifiers encode t…
Joint Learning of Assignment and Representation for Biometric Group Membership
Marzieh Gheisari, Teddy Furon, Laurent Amsaleg
This paper proposes a framework for group membership protocols preventing the curious but honest server from reconstructing the enrolled biometric signatures and inferring the iden…
Group Membership Verification with Privacy: Sparse or Dense?
Marzieh Gheisari, Teddy Furon, Laurent Amsaleg
Group membership verification checks if a biometric trait corresponds to one member of a group without revealing the identity of that member. Recent contributions provide privacy f…