4 papers
Behavioral Guarantees for Proxy-Based Unlearning
Virgile Dine, Teddy Furon
This paper proposes a framework generalizing recent proxy-based unlearning methods and proves theoretical guarantees about the behavior of the resulting unlearned model: upper boun…
Improving Unlearning with Model Updates Probably Aligned with Gradients
Virgile Dine, Teddy Furon, Charly Faure
We formulate the machine unlearning problem as a general constrained optimization problem. It unifies the first-order methods from the approximate machine unlearning literature. Th…
Backdoor Attacks on Deep Learning Face Detection
Quentin Le Roux, Yannick Teglia, Teddy Furon +1
Face Recognition Systems that operate in unconstrained environments capture images under varying conditions,such as inconsistent lighting, or diverse face poses. These challenges r…
SoK: On the Survivability of Backdoor Attacks on Unconstrained Face Recognition Systems
Quentin Le Roux, Yannick Teglia, Teddy Furon +2
The widespread deployment of Deep Learning-based Face Recognition Systems raises many security concerns. While prior research has identified backdoor vulnerabilities on isolated co…