Re-Mi A. Chou

Distortion-Constrained Minimax Data Sanitization with Multiple Adversaries

We study a privacy-preserving data-sharing setting where a privatizer transforms private data into a sanitized release observed by an authorized reconstructor and two unauthorized adversaries, each with access to side information correlated with the private data. An adversary is considered stronger when it estimates th...