BielStela / membership_inferenceLinks
Python package to create adversarial agents for membership inference attacks againts machine learning models
☆46Updated 6 years ago
Alternatives and similar repositories for membership_inference
Users that are interested in membership_inference are comparing it to the libraries listed below
Sorting:
- A library for running membership inference attacks against ML models☆150Updated 2 years ago
- Code for Membership Inference Attack against Machine Learning Models (in Oakland 2017)☆197Updated 7 years ago
- Systematic Evaluation of Membership Inference Privacy Risks of Machine Learning Models☆127Updated last year
- Implementation of the paper : "Membership Inference Attacks Against Machine Learning Models", Shokri et al.☆58Updated 6 years ago
- Code for the CSF 2018 paper "Privacy Risk in Machine Learning: Analyzing the Connection to Overfitting"☆39Updated 6 years ago
- This repo implements several algorithms for learning with differential privacy.☆109Updated 2 years ago
- Pytorch implementation of paper Semi-supervised Knowledge Transfer for Deep Learning from Private Training Data (https://arxiv.org/abs/16…☆45Updated 3 years ago
- ☆32Updated last year
- This project's goal is to evaluate the privacy leakage of differentially private machine learning models.☆135Updated 2 years ago
- Membership Inference, Attribute Inference and Model Inversion attacks implemented using PyTorch.☆64Updated last year
- ☆45Updated 5 years ago
- simple Differential Privacy in PyTorch☆48Updated 5 years ago
- Official implementation of "RelaxLoss: Defending Membership Inference Attacks without Losing Utility" (ICLR 2022)☆48Updated 3 years ago
- ☆70Updated 3 years ago
- Code to accompany the paper "Deep Learning with Gaussian Differential Privacy"☆33Updated 4 years ago
- Code for the paper: Label-Only Membership Inference Attacks☆66Updated 4 years ago
- Implementation of the Model Inversion Attack introduced with Model Inversion Attacks that Exploit Confidence Information and Basic Counte…☆85Updated 2 years ago
- Code for "Differential Privacy Has Disparate Impact on Model Accuracy" NeurIPS'19☆33Updated 4 years ago
- Implementation of membership inference and model inversion attacks, extracting training data information from an ML model. Benchmarking …☆103Updated 5 years ago
- Official implementation of "GAN-Leaks: A Taxonomy of Membership Inference Attacks against Generative Models" (CCS 2020)☆47Updated 3 years ago
- Code for ML Doctor☆90Updated last year
- ☆50Updated 4 years ago
- Code for "Analyzing Federated Learning through an Adversarial Lens" https://arxiv.org/abs/1811.12470☆151Updated 3 years ago
- Code for the paper "ML-Leaks: Model and Data Independent Membership Inference Attacks and Defenses on Machine Learning Models"☆84Updated 3 years ago
- Code for Exploiting Unintended Feature Leakage in Collaborative Learning (in Oakland 2019)☆54Updated 6 years ago
- Privacy attacks on Split Learning☆42Updated 3 years ago
- Code for Auditing DPSGD☆37Updated 3 years ago
- CRFL: Certifiably Robust Federated Learning against Backdoor Attacks (ICML 2021)☆73Updated 4 years ago
- Code to reproduce experiments in "Antipodes of Label Differential Privacy PATE and ALIBI"☆32Updated 3 years ago
- Differentially Private Optimization for PyTorch 👁🙅♀️☆189Updated 5 years ago