388 citations · 1.5k across the 94 of their papers we have counts for
3 papers · 2 filters
Privacy-guaranteed Two-Agent Interactions Using Information-Theoretic Mechanisms
Bahman Moraffah, Lalitha Sankar
This paper introduces a multi-round interaction problem with privacy constraints between two agents that observe correlated data. The agents alternately share data with one another…
Hypothesis Testing in the High Privacy Limit
Jiachun Liao, Lalitha Sankar, Vincent Y. F. Tan +1
Binary hypothesis testing under the Neyman-Pearson formalism is a statistical inference framework for distinguishing data generated by two different source distributions. Privacy r…
Robust Privacy-Utility Tradeoffs under Differential Privacy and Hamming Distortion
Kousha Kalantari, Lalitha Sankar, Anand Sarwate
A privacy-utility tradeoff is developed for an arbitrary set of finite-alphabet source distributions. Privacy is quantified using differential privacy (DP), and utility is quantifi…