ebagdasa / differential-privacy-vs-fairnessLinks
Code for "Differential Privacy Has Disparate Impact on Model Accuracy" NeurIPS'19
☆34Updated 4 years ago
Alternatives and similar repositories for differential-privacy-vs-fairness
Users that are interested in differential-privacy-vs-fairness are comparing it to the libraries listed below
Sorting:
- Code for the CSF 2018 paper "Privacy Risk in Machine Learning: Analyzing the Connection to Overfitting"☆37Updated 6 years ago
- ☆31Updated 9 months ago
- Code for Auditing DPSGD☆37Updated 3 years ago
- ☆22Updated 2 years ago
- ☆80Updated 3 years ago
- Pytorch implementation of paper Semi-supervised Knowledge Transfer for Deep Learning from Private Training Data (https://arxiv.org/abs/16…☆44Updated 3 years ago
- simple Differential Privacy in PyTorch☆48Updated 5 years ago
- ☆15Updated 2 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☆44Updated 5 years ago
- This project's goal is to evaluate the privacy leakage of differentially private machine learning models.☆135Updated 2 years ago
- ☆19Updated 2 years ago
- Python package to create adversarial agents for membership inference attacks againts machine learning models☆47Updated 6 years ago
- ☆27Updated 2 years ago
- Code for "Analyzing Federated Learning through an Adversarial Lens" https://arxiv.org/abs/1811.12470☆150Updated 2 years ago
- ☆10Updated 3 years ago
- ☆45Updated 5 years ago
- Source code of paper "Differentially Private Generative Adversarial Network"☆69Updated 6 years ago
- Implementation of the paper : "Membership Inference Attacks Against Machine Learning Models", Shokri et al.☆60Updated 6 years ago
- Salvaging Federated Learning by Local Adaptation☆56Updated 10 months ago
- Learning rate adaptation for differentially private stochastic gradient descent☆16Updated 4 years ago
- Simplicial-FL to manage client device heterogeneity in Federated Learning☆22Updated last year
- Differentially Private Generative Adversarial Networks for Time Series, Continuous, and Discrete Open Data☆33Updated 6 years ago
- ☆20Updated 6 years ago
- This repo implements several algorithms for learning with differential privacy.☆107Updated 2 years ago
- Example of the attack described in the paper "Towards Poisoning of Deep Learning Algorithms with Back-gradient Optimization"☆21Updated 5 years ago
- ☆26Updated 6 years ago
- Code to accompany the paper "Deep Learning with Gaussian Differential Privacy"☆33Updated 4 years ago
- ☆24Updated 3 years ago
- ☆14Updated last year