Gauri Pradhan

Beyond Membership: Limitations of Add/Remove Adjacency in Differential Privacy

Training machine learning models with differential privacy (DP) limits an adversary's ability to infer sensitive information about the training data. It can be interpreted as a bound on the adversary's capability to distinguish two adjacent datasets according to the chosen adjacency relation. In pra…