DP-UTIL: Comprehensive Utility Analysis of Differential Privacy in Machine Learning

24 December 2021

Papers citing "DP-UTIL: Comprehensive Utility Analysis of Differential Privacy in Machine Learning"

3 / 3 papers shown

Title
Too Good to be True? Turn Any Model Differentially Private With DP-Weights David Zagardo 20 0 0 27 Jun 2024
MIAShield: Defending Membership Inference Attacks via Preemptive Exclusion of Members Ismat Jarin Birhanu Eshete 24 9 0 02 Mar 2022
Linear Convergence of Gradient and Proximal-Gradient Methods Under the Polyak-Łojasiewicz Condition Hamed Karimi J. Nutini Mark W. Schmidt 136 1,198 0 16 Aug 2016