☆32Sep 2, 2024Updated last year
Alternatives and similar repositories for MI-Attack
Users that are interested in MI-Attack are comparing it to the libraries listed below
Sorting:
- Membership Inference Attacks and Defenses in Neural Network Pruning☆28Jul 12, 2022Updated 3 years ago
- Public implementation of the paper "On the Importance of Difficulty Calibration in Membership Inference Attacks".☆16Dec 1, 2021Updated 4 years ago
- [USENIX Security 2022] Mitigating Membership Inference Attacks by Self-Distillation Through a Novel Ensemble Architecture☆16Aug 29, 2022Updated 3 years ago
- ☆45Nov 10, 2019Updated 6 years ago
- Code for Auditing DPSGD☆37Feb 15, 2022Updated 4 years ago
- Code for the paper "Overconfidence is a Dangerous Thing: Mitigating Membership Inference Attacks by Enforcing Less Confident Prediction" …☆12Sep 6, 2023Updated 2 years ago
- ☆25Nov 14, 2022Updated 3 years ago
- Code for the paper "ML-Leaks: Model and Data Independent Membership Inference Attacks and Defenses on Machine Learning Models"☆85Nov 22, 2021Updated 4 years ago
- Code for Auditing Data Provenance in Text-Generation Models (in KDD 2019)☆10Jun 18, 2019Updated 6 years ago
- Code for AAAI 2021 Paper "Membership Privacy for Machine Learning Models Through Knowledge Transfer"☆11Apr 5, 2021Updated 4 years ago
- Official implementation of "RelaxLoss: Defending Membership Inference Attacks without Losing Utility" (ICLR 2022)☆48Aug 18, 2022Updated 3 years ago
- ☆13Apr 12, 2022Updated 3 years ago
- Code for the paper: Label-Only Membership Inference Attacks☆68Sep 11, 2021Updated 4 years ago
- verifying machine unlearning by backdooring☆20Mar 25, 2023Updated 2 years ago
- Public implementation of ICML'19 paper "White-box vs Black-box: Bayes Optimal Strategies for Membership Inference"☆18May 28, 2020Updated 5 years ago
- The implementatin of our ICLR 2021 work: Targeted Attack against Deep Neural Networks via Flipping Limited Weight Bits☆18Jul 20, 2021Updated 4 years ago
- ☆370Jan 4, 2026Updated 2 months ago
- This repo keeps track of popular provable training and verification approaches towards robust neural networks, including leaderboards on …☆98Oct 18, 2022Updated 3 years ago
- ☆22Sep 17, 2024Updated last year
- Code for the paper "(De)Randomized Smoothing for Certifiable Defense against Patch Attacks" by Alexander Levine and Soheil Feizi.☆17Aug 22, 2022Updated 3 years ago
- Privacy Meter: An open-source library to audit data privacy in statistical and machine learning algorithms.☆700Apr 26, 2025Updated 10 months ago
- Implementation of membership inference and model inversion attacks, extracting training data information from an ML model. Benchmarking …☆103Nov 2, 2019Updated 6 years ago
- Code for CVPR2020 paper QEBA: Query-Efficient Boundary-Based Blackbox Attack☆33Feb 21, 2021Updated 5 years ago
- ☆19Mar 6, 2023Updated 2 years ago
- A library for running membership inference attacks against ML models☆152Dec 8, 2022Updated 3 years ago
- Attacks using out-of-distribution adversarial examples☆11Nov 19, 2019Updated 6 years ago
- ☆10Jun 1, 2022Updated 3 years ago
- ☆10Mar 20, 2023Updated 2 years ago
- Self-Teaching Notes on Gradient Leakage Attacks against GPT-2 models.☆14Mar 18, 2024Updated last year
- ☆12Sep 26, 2024Updated last year
- Shadow Attack, LiRA, Quantile Regression and RMIA implementations in PyTorch (Online version)☆14Nov 8, 2024Updated last year
- An unofficial pyotrch implementation of "ML-Leaks:Model and Data Independent Membership Inference Attacks and Defenses on ML Models"☆11Dec 23, 2023Updated 2 years ago
- Certified Removal from Machine Learning Models☆69Aug 23, 2021Updated 4 years ago
- ☆13Jun 17, 2024Updated last year
- This project's goal is to evaluate the privacy leakage of differentially private machine learning models.☆136Dec 8, 2022Updated 3 years ago
- ☆25Jan 20, 2019Updated 7 years ago
- Python package to create adversarial agents for membership inference attacks againts machine learning models☆46Feb 12, 2019Updated 7 years ago
- [NeurIPS 2023] Differentially Private Image Classification by Learning Priors from Random Processes☆12Jun 12, 2023Updated 2 years ago
- our submission for the microsoft membership inference competion at SaTML 2023☆15Apr 5, 2023Updated 2 years ago