TheSalon / fast-dpsgd
Code for fast dpsgd implementations in JAX/TF
☆59Updated 2 years ago
Alternatives and similar repositories for fast-dpsgd:
Users that are interested in fast-dpsgd are comparing it to the libraries listed below
- Github pages backend for https://differentialprivacy.org☆26Updated last week
- Algorithms for Privacy-Preserving Machine Learning in JAX☆93Updated 9 months ago
- ☆80Updated 2 years ago
- ☆38Updated 3 years ago
- [NeurIPS 2020] Simple and practical private mean and covariance estimation.☆35Updated 4 years ago
- Code for Auditing DPSGD☆37Updated 3 years ago
- Computationally friendly hyper-parameter search with DP-SGD☆24Updated 2 months ago
- ☆22Updated 2 years ago
- Code for "Differential Privacy Has Disparate Impact on Model Accuracy" NeurIPS'19☆34Updated 3 years ago
- ☆18Updated 2 years ago
- Randomized Smoothing of All Shapes and Sizes (ICML 2020).☆52Updated 4 years ago
- Research and experimental code related to Opacus, an open-source library for training PyTorch models with Differential Privacy☆17Updated 5 months ago
- The Full Spectrum of Deepnet Hessians at Scale: Dynamics with SGD Training and Sample Size☆17Updated 5 years ago
- Sketched SGD☆28Updated 4 years ago
- A fast algorithm to optimally compose privacy guarantees of differentially private (DP) mechanisms to arbitrary accuracy.☆73Updated last year
- Geometric Certifications of Neural Nets☆41Updated 2 years ago
- This repo contains the underlying code for all the experiments from the paper: "Automatic Discovery of Privacy-Utility Pareto Fronts"☆27Updated 2 years ago
- Tilted Empirical Risk Minimization (ICLR '21)☆59Updated last year
- Federated posterior averaging implemented in JAX☆51Updated last year
- autodp: A flexible and easy-to-use package for differential privacy☆272Updated last year
- ☆23Updated last year
- Repo for the paper "Bounding Training Data Reconstruction in Private (Deep) Learning".☆11Updated last year
- Learning perturbation sets for robust machine learning☆64Updated 3 years ago
- Differentially Private Optimization for PyTorch 👁🙅♀️☆184Updated 4 years ago
- ☆27Updated 2 years ago
- InstaHide: Instance-hiding Schemes for Private Distributed Learning☆50Updated 4 years ago
- Code for the paper: "Tensor Programs II: Neural Tangent Kernel for Any Architecture"☆105Updated 4 years ago
- CIFAR-5m dataset☆38Updated 4 years ago
- Source code for "Neural Anisotropy Directions"☆15Updated 4 years ago
- This code reproduces the results of the paper, "Measuring Data Leakage in Machine-Learning Models with Fisher Information"☆50Updated 3 years ago