mijungi / dpem_code
☆8Updated 7 years ago
Related projects ⓘ
Alternatives and complementary repositories for dpem_code
- A TensorFlow (Python 3) implementation of a differentially-private-GAN.☆20Updated 4 years ago
- ☆63Updated 5 years ago
- Code for NIPS'2017 paper☆49Updated 4 years ago
- Analytic calibration for differential privacy with Gaussian perturbations☆44Updated 6 years ago
- Code for the CSF 2018 paper "Privacy Risk in Machine Learning: Analyzing the Connection to Overfitting"☆38Updated 5 years ago
- Code for "Differential Privacy Has Disparate Impact on Model Accuracy" NeurIPS'19☆34Updated 3 years ago
- Code for Auditing DPSGD☆35Updated 2 years ago
- ☆26Updated last year
- Fair Empirical Risk Minimization (FERM)☆37Updated 4 years ago
- Source code of paper "Differentially Private Generative Adversarial Network"☆67Updated 5 years ago
- This repo contains the underlying code for all the experiments from the paper: "Automatic Discovery of Privacy-Utility Pareto Fronts"☆26Updated 2 years ago
- Statistical Counterexample Detector for Differential Privacy☆28Updated 7 months ago
- ☆22Updated 5 years ago
- Code for Machine Learning Models that Remember Too Much (in CCS 2017)☆30Updated 7 years ago
- Privacy Risks of Securing Machine Learning Models against Adversarial Examples☆44Updated 4 years ago
- CoLa - Decentralized Linear Learning: https://arxiv.org/abs/1808.04883☆19Updated 2 years ago
- Official implementation for paper: A New Defense Against Adversarial Images: Turning a Weakness into a Strength☆37Updated 4 years ago
- Learning rate adaptation for differentially private stochastic gradient descent☆16Updated 3 years ago
- [NeurIPS 2020] Simple and practical private mean and covariance estimation.☆33Updated 4 years ago
- ☆32Updated 6 years ago
- ☆14Updated 5 years ago
- Differentially private release of semantic rich data☆35Updated 3 years ago
- Benchmark for LP-relaxed robustness verification of ReLU-networks☆40Updated 5 years ago
- This repository contains the codes for first large-scale investigation of Differentially Private Convex Optimization algorithms.☆63Updated 6 years ago
- Code for the IEEE S&P 2018 paper 'Manipulating Machine Learning: Poisoning Attacks and Countermeasures for Regression Learning'☆52Updated 3 years ago
- Implementation of Minimax Pareto Fairness framework☆21Updated 4 years ago
- Interval attacks (adversarial ML)☆21Updated 5 years ago
- Differentially Private Generative Adversarial Networks for Time Series, Continuous, and Discrete Open Data☆33Updated 5 years ago
- ☆79Updated 2 years ago