We combine Kronecker products, and quantitative information flow, to giv...
Differentially Private Stochastic Gradient Descent (DP-SGD) is a key met...
The study of leakage measures for privacy has been a subject of intensiv...
In this paper we describe, formalize, implement, and experimentally eval...
We study the privacy-utility trade-off in the context of metric differen...
We present a systematic refactoring of the conventional treatment of pri...
Differential Privacy protects individuals' data when statistical queries...
Extended differential privacy, a generalization of standard differential...
Differential privacy (DP) and local differential privacy (LPD) are frame...
We address the problem of how to "obfuscate" texts by removing stylistic...
The problem of obfuscating the authorship of a text document has receive...