Self-Supervised Pretraining for Differentially Private Learning

14 June 2022

Papers citing "Self-Supervised Pretraining for Differentially Private Learning"

6 / 6 papers shown

Title
Benefit from public unlabeled data: A Frangi filtering-based pretraining network for 3D cerebrovascular segmentation Gen Shi Hao Lu Hui Hui Jie Tian 14 1 0 23 Dec 2023
Position: Considerations for Differentially Private Learning with Large-Scale Public Pretraining Florian Tramèr Gautam Kamath Nicholas Carlini SILM 38 67 0 13 Dec 2022
Scaling Laws Beyond Backpropagation Matthew J. Filipovich Alessandro Cappelli Daniel Hesslow Julien Launay 19 3 0 26 Oct 2022
The Role of Adaptive Optimizers for Honest Private Hyperparameter Selection Shubhankar Mohapatra Sajin Sasy Xi He Gautam Kamath Om Thakkar 109 32 0 09 Nov 2021
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 144 349 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 269 1,812 0 14 Dec 2020