34 citations · 38 across the 5 of their papers we have counts for
9 papers
Intrinsic Dimensionality Estimation within Tight Localities: A Theoretical and Experimental Analysis
Laurent Amsaleg, Oussama Chelly, Michael E. Houle +3
Accurate estimation of Intrinsic Dimensionality (ID) is of crucial importance in many data mining and machine learning tasks, including dimensionality reduction, outlier detection,…
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…
Walking on the Edge: Fast, Low-Distortion Adversarial Examples
Hanwei Zhang, Yannis Avrithis, Teddy Furon +1
Adversarial examples of deep neural networks are receiving ever increasing attention because they help in understanding and reducing the sensitivity to their input. This is natural…
Privacy Preserving Group Membership Verification and Identification
Marzieh Gheisari, Teddy Furon, Laurent Amsaleg
When convoking privacy, group membership verification checks if a biometric trait corresponds to one member of a group without revealing the identity of that member. Similarly, gro…
Exquisitor: Interactive Learning at Large
Björn Þór Jónsson, Omar Shahbaz Khan, Hanna Ragnarsdóttir +6
Increasing scale is a dominant trend in today's multimedia collections, which especially impacts interactive applications. To facilitate interactive exploration of large multimedia…