PILLAR: How to make semi-private learning more effective

PILLAR: How to make semi-private learning more effective

6 June 2023

Francesco Pinto

Papers citing "PILLAR: How to make semi-private learning more effective"

13 / 13 papers shown

Title
Credit Attribution and Stable Compression Roi Livni Shay Moran Kobbi Nissim Chirag Pabbaraju 25 0 0 22 Jun 2024
Neural Collapse Meets Differential Privacy: Curious Behaviors of NoisyGD with Near-perfect Representation Learning Chendi Wang Yuqing Zhu Weijie J. Su Yu-Xiang Wang AAML 35 4 0 14 May 2024
Provable Privacy with Non-Private Pre-Processing Yaxian Hu Amartya Sanyal Bernhard Schölkopf 19 2 0 19 Mar 2024
Public-data Assisted Private Stochastic Optimization: Power and Limitations Enayat Ullah Michael Menart Raef Bassily Cristóbal Guzmán Raman Arora 30 1 0 06 Mar 2024
On the Benefits of Public Representations for Private Transfer Learning under Distribution Shift Pratiksha Thaker Amrith Rajagopal Setlur Zhiwei Steven Wu Virginia Smith 18 2 0 24 Dec 2023
Unlocking Accuracy and Fairness in Differentially Private Image Classification Leonard Berrada Soham De J. Shen Jamie Hayes Robert Stanforth David Stutz Pushmeet Kohli Samuel L. Smith Borja Balle 13 13 0 21 Aug 2023
Safeguarding Data in Multimodal AI: A Differentially Private Approach to CLIP Training Alyssa Huang Peihan Liu Ryumei Nakada Linjun Zhang Wanrong Zhang VLM 26 5 0 13 Jun 2023
Differentially Private Image Classification by Learning Priors from Random Processes Xinyu Tang Ashwinee Panda Vikash Sehwag Prateek Mittal 8 20 0 08 Jun 2023
What Are the Chances? Explaining the Epsilon Parameter in Differential Privacy Priyanka Nanayakkara Mary Anne Smart Rachel Cummings Gabriel Kaptchuk Elissa M. Redmiles 22 32 0 01 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 138 347 0 25 Sep 2021
Do Not Let Privacy Overbill Utility: Gradient Embedding Perturbation for Private Learning Da Yu Huishuai Zhang Wei Chen Tie-Yan Liu FedML SILM 91 110 0 25 Feb 2021
Improved Baselines with Momentum Contrastive Learning Xinlei Chen Haoqi Fan Ross B. Girshick Kaiming He SSL 238 3,359 0 09 Mar 2020
Sample Complexity Bounds on Differentially Private Learning via Communication Complexity Vitaly Feldman David Xiao 157 71 0 25 Feb 2014