43 citations · 111 across the 9 of their papers we have counts for
3 papers · 1 filter
Preserving Privacy in GANs Against Membership Inference Attack
Mohammadhadi Shateri, Francisco Messina, Fabrice Labeau +1
Generative Adversarial Networks (GANs) have been widely used for generating synthetic data for cases where there is a limited size real-world dataset or when data holders are unwil…
Adversarial Robustness via Fisher-Rao Regularization
Marine Picot, Francisco Messina, Malik Boudiaf +3
Adversarial robustness has become a topic of growing interest in machine learning since it was observed that neural networks tend to be brittle. We propose an information-geometric…
Deep Directed Information-Based Learning for Privacy-Preserving Smart Meter Data Release
Mohammadhadi Shateri, Francisco Messina, Pablo Piantanida +1
The explosion of data collection has raised serious privacy concerns in users due to the possibility that sharing data may also reveal sensitive information. The main goal of a pri…