BielStela / membership_inferenceView external linksLinks
Python package to create adversarial agents for membership inference attacks againts machine learning models
☆46Feb 12, 2019Updated 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☆152Dec 8, 2022Updated 3 years ago
- Code for Membership Inference Attack against Machine Learning Models (in Oakland 2017)☆199Nov 15, 2017Updated 8 years ago
- ☆19Mar 6, 2023Updated 2 years ago
- ☆45Nov 10, 2019Updated 6 years ago
- Membership Inference of Generative Models☆15Oct 2, 2019Updated 6 years ago
- [USENIX Security 2022] Mitigating Membership Inference Attacks by Self-Distillation Through a Novel Ensemble Architecture☆16Aug 29, 2022Updated 3 years ago
- Code for the paper: Label-Only Membership Inference Attacks☆68Sep 11, 2021Updated 4 years ago
- Systematic Evaluation of Membership Inference Privacy Risks of Machine Learning Models☆133Apr 9, 2024Updated last year
- ☆25Jan 20, 2019Updated 7 years ago
- Membership Inference Attacks and Defenses in Neural Network Pruning☆28Jul 12, 2022Updated 3 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
- ☆32Sep 2, 2024Updated last year
- Code for the paper "Overconfidence is a Dangerous Thing: Mitigating Membership Inference Attacks by Enforcing Less Confident Prediction" …☆12Sep 6, 2023Updated 2 years ago
- Example code for the NNGeometry PyTorch library☆10Aug 20, 2025Updated 5 months ago
- ☆13Jul 26, 2021Updated 4 years ago
- Shadow Attack, LiRA, Quantile Regression and RMIA implementations in PyTorch (Online version)☆14Nov 8, 2024Updated last year
- ☆15Apr 4, 2024Updated last year
- ☆22Aug 15, 2022Updated 3 years ago
- ☆13Jun 17, 2024Updated last year
- ☆12Jan 28, 2023Updated 3 years ago
- Privacy attacks on Split Learning☆43Nov 15, 2021Updated 4 years ago
- Differentially Private Conditional Generative Adversarial Network☆31Oct 12, 2021Updated 4 years ago
- Privacy Meter: An open-source library to audit data privacy in statistical and machine learning algorithms.☆698Apr 26, 2025Updated 9 months ago
- PrivGAN: Protecting GANs from membership inference attacks at low cost☆36Jun 17, 2024Updated last year
- ☆16Sep 8, 2021Updated 4 years ago
- ☆20Oct 28, 2025Updated 3 months ago
- SAP Security Research sample code to reproduce the research done in our paper "Comparing local and central differential privacy using mem…☆18May 7, 2024Updated last year
- Training data extraction on GPT-2☆197Feb 4, 2023Updated 3 years ago
- ☆16Sep 9, 2020Updated 5 years ago
- verifying machine unlearning by backdooring☆20Mar 25, 2023Updated 2 years ago
- Dual Adversarial Autoencoder for Generating Set-valued Sequences☆19Jan 15, 2021Updated 5 years ago
- Code for Auditing DPSGD☆37Feb 15, 2022Updated 4 years ago
- Public implementation of the paper "On the Importance of Difficulty Calibration in Membership Inference Attacks".☆16Dec 1, 2021Updated 4 years ago
- [ICML 2023] Are Diffusion Models Vulnerable to Membership Inference Attacks?☆42Sep 4, 2024Updated last year
- Privacy Risks of Securing Machine Learning Models against Adversarial Examples☆46Nov 25, 2019Updated 6 years ago
- Not All Poisons are Created Equal: Robust Training against Data Poisoning (ICML 2022)☆22Aug 8, 2022Updated 3 years ago
- This is an official repository for Practical Membership Inference Attacks Against Large-Scale Multi-Modal Models: A Pilot Study (ICCV2023…☆24Sep 29, 2023Updated 2 years ago
- code release for "Unrolling SGD: Understanding Factors Influencing Machine Unlearning" published at EuroS&P'22☆24Mar 13, 2022Updated 3 years ago