388 citations · 1.5k across the 94 of their papers we have counts for
3 papers · 2 filters
Information-Theoretic Privacy with General Distortion Constraints
Kousha Kalantari, Oliver Kosut, Lalitha Sankar
The privacy-utility tradeoff problem is formulated as determining the privacy mechanism (random mapping) that minimizes the mutual information (a metric for privacy leakage) betwee…
Hypothesis Testing under Mutual Information Privacy Constraints in the High Privacy Regime
Jiachun Liao, Lalitha Sankar, Vincent Y. F. Tan +1
Hypothesis testing is a statistical inference framework for determining the true distribution among a set of possible distributions for a given dataset. Privacy restrictions may re…
Hypothesis Testing under Maximal Leakage Privacy Constraints
Jiachun Liao, Lalitha Sankar, Flavio P. Calmon +1
The problem of publishing privacy-guaranteed data for hypothesis testing is studied using the maximal leakage (ML) as a metric for privacy and the type-II error exponent as the uti…