google-research / dp-imagenetLinks
☆37Updated 3 years ago
Alternatives and similar repositories for dp-imagenet
Users that are interested in dp-imagenet are comparing it to the libraries listed below
Sorting:
- ☆23Updated 3 years ago
- ☆15Updated 2 years ago
- Code for "Differential Privacy Has Disparate Impact on Model Accuracy" NeurIPS'19☆33Updated 4 years ago
- Algorithms for Privacy-Preserving Machine Learning in JAX☆135Updated 2 weeks ago
- ☆27Updated 3 years ago
- Code for fast dpsgd implementations in JAX/TF☆60Updated 3 years ago
- Federated posterior averaging implemented in JAX☆52Updated 2 years ago
- ☆80Updated 3 years ago
- ☆18Updated 3 years ago
- Computationally friendly hyper-parameter search with DP-SGD☆25Updated 11 months ago
- ☆38Updated 4 years ago
- [NeurIPS 2020] Simple and practical private mean and covariance estimation.☆35Updated 5 years ago
- Private Adaptive Optimization with Side Information (ICML '22)☆16Updated 3 years ago
- InstaHide: Instance-hiding Schemes for Private Distributed Learning☆50Updated 5 years ago
- A fast algorithm to optimally compose privacy guarantees of differentially private (DP) mechanisms to arbitrary accuracy.☆76Updated last year
- ModelDiff: A Framework for Comparing Learning Algorithms☆58Updated 2 years ago
- DP-FTRL from "Practical and Private (Deep) Learning without Sampling or Shuffling" for centralized training.☆35Updated 7 months ago
- Libraries for efficient and scalable group-structured dataset pipelines.☆25Updated 6 months ago
- Code for the CSF 2018 paper "Privacy Risk in Machine Learning: Analyzing the Connection to Overfitting"☆39Updated 6 years ago
- Code for Auditing DPSGD☆37Updated 3 years ago
- This code reproduces the results of the paper, "Measuring Data Leakage in Machine-Learning Models with Fisher Information"☆50Updated 4 years ago
- ☆10Updated 3 years ago
- Learning perturbation sets for robust machine learning☆65Updated 4 years ago
- ☆31Updated 4 years ago
- A codebase that makes differentially private training of transformers easy.☆181Updated 3 years ago
- Repo for the paper "Bounding Training Data Reconstruction in Private (Deep) Learning".☆11Updated 2 years ago
- ☆56Updated 5 years ago
- autodp: A flexible and easy-to-use package for differential privacy☆278Updated 2 years ago
- CROWN: A Neural Network Verification Framework for Networks with General Activation Functions☆39Updated 7 years ago
- ☆31Updated 2 years ago