spring-epfl / CS-523-publicLinks
☆21Updated 3 months ago
Alternatives and similar repositories for CS-523-public
Users that are interested in CS-523-public are comparing it to the libraries listed below
Sorting:
- ☆80Updated 3 years ago
- Code for Auditing DPSGD☆37Updated 3 years ago
- ☆20Updated 2 years ago
- ☆46Updated 3 years ago
- Code for Canonne-Kamath-Steinke paper https://arxiv.org/abs/2004.00010☆59Updated 5 years ago
- code for model-targeted poisoning☆12Updated last year
- Algorithms for Privacy-Preserving Machine Learning in JAX☆95Updated last month
- A fast algorithm to optimally compose privacy guarantees of differentially private (DP) mechanisms to arbitrary accuracy.☆73Updated last year
- ☆66Updated 6 years ago
- CaPC is a method that enables collaborating parties to improve their own local heterogeneous machine learning models in a setting where b…☆26Updated 3 years ago
- ☆52Updated 4 years ago
- ☆11Updated last year
- This project's goal is to evaluate the privacy leakage of differentially private machine learning models.☆135Updated 2 years ago
- ☆18Updated 3 years ago
- autodp: A flexible and easy-to-use package for differential privacy☆274Updated last year
- ☆24Updated 3 years ago
- ☆32Updated 11 months ago
- ☆33Updated 2 years ago
- Public implementation of ICML'19 paper "White-box vs Black-box: Bayes Optimal Strategies for Membership Inference"☆17Updated 5 years ago
- Code for "Differential Privacy Has Disparate Impact on Model Accuracy" NeurIPS'19☆33Updated 4 years ago
- ☆22Updated 4 years ago
- Code for the CSF 2018 paper "Privacy Risk in Machine Learning: Analyzing the Connection to Overfitting"☆37Updated 6 years ago
- This repository contains the codes for first large-scale investigation of Differentially Private Convex Optimization algorithms.☆63Updated 6 years ago
- Code to reproduce experiments in "Antipodes of Label Differential Privacy PATE and ALIBI"☆32Updated 3 years ago
- Privacy Risks of Securing Machine Learning Models against Adversarial Examples