2 citations · 2 across the 2 of their papers we have counts for
2 papers
cs.LG2023
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…
cs.LG2023★ 2 cited
-Mutual Information: A Tunable Privacy Measure for Privacy Protection in Data Sharing
MirHamed Jafarzadeh Asl, Mohammadhadi Shateri, Fabrice Labeau
This paper adopts Arimoto's -Mutual Information as a tunable privacy measure, in a privacy-preserving data release setting that aims to prevent disclosing private data to advers…