/awesome-differential-privacy

awesome-differential-privacy

Definition of Differential Privacy and Variants

  • How Private is DP-SGD?(ICML 2024) [paper]

Improvements in Training Procedures

  • Provable Privacy with Non-Private Pre-Processing(ICML 2024) [paper]
  • Position Paper: Considerations for Differentially Private Learning with Large-Scale Public Pretraining(ICML 2024) [paper]

Language Models

  • DPZero: Private Fine-Tuning of Language Models without Backpropagation(ICML 2024) [paper]
  • Delving into Differentially Private Transformer(ICML 2024) [[paper]]

Hyperparameter Optimization

  • Private Selection from Private Candidates(STOC 2019) [paper]
  • Hyperparameter Tuning with Renyi Differential Privacy(ICLR 2022) [paper]
  • DP-HyPO: An Adaptive Private Hyperparameter Optimization Framework(NIPS 2023) [paper]
  • Practical Differentially Private Hyperparameter Tuning with Subsampling(ICLR 2023 Workshop) [paper]
  • A New Linear Scaling Rule for Private Adaptive Hyperparameter Optimization(ICML 2024) [[paper]]

Domain Adaptation

  • Differentially Private Domain Adaptation with Theoretical Guarantees(ICML 2024) [paper]

Privacy Backdoors

  • Privacy Backdoors: Stealing Data with Corrupted Pretrained Models(ICML 2024) [paper]