csong27 / membership-inferenceLinks
Code for Membership Inference Attack against Machine Learning Models (in Oakland 2017)
☆200Updated 7 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
- Systematic Evaluation of Membership Inference Privacy Risks of Machine Learning Models☆127Updated last year
- Code for the paper "ML-Leaks: Model and Data Independent Membership Inference Attacks and Defenses on Machine Learning Models"☆85Updated 3 years ago
- This project's goal is to evaluate the privacy leakage of differentially private machine learning models.☆135Updated 2 years ago
- Implementation of the Model Inversion Attack introduced with Model Inversion Attacks that Exploit Confidence Information and Basic Counte…☆84Updated 2 years ago
- Implementation of the paper : "Membership Inference Attacks Against Machine Learning Models", Shokri et al.☆59Updated 6 years ago
- ☆45Updated 5 years ago
- Membership Inference, Attribute Inference and Model Inversion attacks implemented using PyTorch.☆64Updated last year
- Code for "Analyzing Federated Learning through an Adversarial Lens" https://arxiv.org/abs/1811.12470☆151Updated 3 years ago
- DBA: Distributed Backdoor Attacks against Federated Learning (ICLR 2020)☆198Updated 4 years ago
- Source code for paper "How to Backdoor Federated Learning" (https://arxiv.org/abs/1807.00459)☆306Updated last year
- Code for Exploiting Unintended Feature Leakage in Collaborative Learning (in Oakland 2019)☆54Updated 6 years ago
- Python package to create adversarial agents for membership inference attacks againts machine learning models☆46Updated 6 years ago
- Code for the paper: Label-Only Membership Inference Attacks☆66Updated 4 years ago
- Differential Privacy Preservation in Deep Learning under Model Attacks☆135Updated 4 years ago
- simple Differential Privacy in PyTorch☆48Updated 5 years ago
- A sybil-resilient distributed learning protocol.☆104Updated last month
- Code for ML Doctor☆91Updated last year
- Code to reproduce experiments in "Antipodes of Label Differential Privacy PATE and ALIBI"☆32Updated 3 years ago
- The code for "Improved Deep Leakage from Gradients" (iDLG).☆155Updated 4 years ago
- ☆357Updated 3 months ago
- CRFL: Certifiably Robust Federated Learning against Backdoor Attacks (ICML 2021)☆73Updated 4 years ago
- This repo implements several algorithms for learning with differential privacy.☆109Updated 2 years ago
- ☆70Updated 3 years ago
- Code for Data Poisoning Attacks Against Federated Learning Systems☆200Updated 4 years ago
- Code & supplementary material of the paper Label Inference Attacks Against Federated Learning on Usenix Security 2022.☆82Updated 2 years ago
- Code for NDSS 2021 Paper "Manipulating the Byzantine: Optimizing Model Poisoning Attacks and Defenses Against Federated Learning"☆148Updated 3 years ago
- An implementation for the paper "A Little Is Enough: Circumventing Defenses For Distributed Learning" (NeurIPS 2019)☆26Updated 2 years ago
- ☆22Updated 3 years ago
- Implementation of membership inference and model inversion attacks, extracting training data information from an ML model. Benchmarking …☆103Updated 5 years ago