1 citations · 1 across the 3 of their papers we have counts for
3 papers
Secure and reversible face anonymization with diffusion models
Pol Labarbarie, Vincent Itier, William Puech
Face anonymization aims to protect sensitive identity information by altering faces while preserving visual realism and utility for downstream computer vision tasks. Current method…
Carpet-bombing patch: attacking a deep network without usual requirements
Pol Labarbarie, Adrien Chan-Hon-Tong, Stéphane Herbin +1
Although deep networks have shown vulnerability to evasion attacks, such attacks have usually unrealistic requirements. Recent literature discussed the possibility to remove or not…
Riemannian data-dependent randomized smoothing for neural networks certification
Pol Labarbarie, Hatem Hajri, Marc Arnaudon
Certification of neural networks is an important and challenging problem that has been attracting the attention of the machine learning community since few years. In this paper, we…