2 citations · 2 across the 5 of their papers we have counts for
3 papers · 1 filter
Bayes-Nash Generative Privacy Against Membership Inference Attacks
Tao Zhang, Rajagopal Venkatesaramani, Rajat K. De +2
Membership inference attacks (MIAs) pose significant privacy risks by determining whether individual data is in a dataset. While differential privacy (DP) mitigates these risks, it…
Differential Confounding Privacy and Inverse Composition
Tao Zhang, Bradley A. Malin, Netanel Raviv +1
Differential privacy (DP) has become the gold standard for privacy-preserving data analysis, but its applicability can be limited in scenarios involving complex dependencies betwee…
A Game-Theoretic Approach to Privacy-Utility Tradeoff in Sharing Genomic Summary Statistics
Tao Zhang, Rajagopal Venkatesaramani, Rajat K. De +2
The advent of online genomic data-sharing services has sought to enhance the accessibility of large genomic datasets by allowing queries about genetic variants, such as summary sta…