Can Stochastic Gradient Langevin Dynamics Provide Differential Privacy for Deep Learning?

11 October 2021

Papers citing "Can Stochastic Gradient Langevin Dynamics Provide Differential Privacy for Deep Learning?"

4 / 4 papers shown

Title
Multi-Resolution Diffusion for Privacy-Sensitive Recommender Systems Derek Lilienthal Paul Mello Magdalini Eirinaki Stas Tiomkin SyDa DiffM 26 3 0 06 Nov 2023
DP-Fast MH: Private, Fast, and Accurate Metropolis-Hastings for Large-Scale Bayesian Inference Wanrong Zhang Ruqi Zhang 19 4 0 10 Mar 2023
Opacus: User-Friendly Differential Privacy Library in PyTorch Ashkan Yousefpour I. Shilov Alexandre Sablayrolles Davide Testuggine Karthik Prasad ... Sayan Gosh Akash Bharadwaj Jessica Zhao Graham Cormode Ilya Mironov VLM 168 350 0 25 Sep 2021
Extracting Training Data from Large Language Models Nicholas Carlini Florian Tramèr Eric Wallace Matthew Jagielski Ariel Herbert-Voss ... Tom B. Brown D. Song Ulfar Erlingsson Alina Oprea Colin Raffel MLAU SILM 290 1,824 0 14 Dec 2020