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:
- Code for Membership Inference Attack against Machine Learning Models (in Oakland 2017)☆199Nov 15, 2017Updated 8 years ago
- Implementation of membership inference and model inversion attacks, extracting training data information from an ML model. Benchmarking …☆103Nov 2, 2019Updated 6 years ago
- ☆19Mar 6, 2023Updated 3 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 AAAI 2021 Paper "Membership Privacy for Machine Learning Models Through Knowledge Transfer"☆11Apr 5, 2021Updated 4 years ago
- Systematic Evaluation of Membership Inference Privacy Risks of Machine Learning Models☆133Apr 9, 2024Updated last year
- ☆25Nov 14, 2022Updated 3 years ago
- Official implementation of "GAN-Leaks: A Taxonomy of Membership Inference Attacks against Generative Models" (CCS 2020)☆47Apr 22, 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
- Implementation of the paper : "Membership Inference Attacks Against Machine Learning Models", Shokri et al.☆59May 12, 2019Updated 6 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
- Shadow Attack, LiRA, Quantile Regression and RMIA implementations in PyTorch (Online version)☆14Nov 8, 2024Updated last year
- ☆13Jul 26, 2021Updated 4 years ago
- Example code for the NNGeometry PyTorch library☆10Aug 20, 2025Updated 6 months ago
- Causal Reasoning for Membership Inference Attacks☆11Oct 21, 2022Updated 3 years ago
- Code for the CSF 2018 paper "Privacy Risk in Machine Learning: Analyzing the Connection to Overfitting"☆39Jan 28, 2019Updated 7 years ago
- ☆15Apr 4, 2024Updated last year
- ☆22Aug 15, 2022Updated 3 years ago
- pytorch implements data enhancement and network regularization methods: cutmix, cutout, shakedrop, mixup, Label smoothing☆11Aug 19, 2021Updated 4 years ago
- ☆13Jun 17, 2024Updated last year
- ☆12Jan 28, 2023Updated 3 years ago
- Privacy attacks on Split Learning☆43Nov 15, 2021Updated 4 years ago
- PrivGAN: Protecting GANs from membership inference attacks at low cost☆36Jun 17, 2024Updated last year
- Code for the paper "Quantifying Privacy Leakage in Graph Embedding" published in MobiQuitous 2020☆17Nov 11, 2021Updated 4 years 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
- ☆20Oct 28, 2025Updated 4 months ago
- ☆16Sep 8, 2021Updated 4 years ago
- Training data extraction on GPT-2☆197Feb 4, 2023Updated 3 years ago
- verifying machine unlearning by backdooring☆20Mar 25, 2023Updated 2 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?☆43Sep 4, 2024Updated last year
- Not All Poisons are Created Equal: Robust Training against Data Poisoning (ICML 2022)☆22Aug 8, 2022Updated 3 years ago
- IoT networks have become an increasingly valuable target of malicious attacks due to the increased amount of valuable user data they cont…☆27Sep 1, 2022Updated 3 years ago
- code release for "Unrolling SGD: Understanding Factors Influencing Machine Unlearning" published at EuroS&P'22☆25Mar 13, 2022Updated 3 years ago
- Official implementation of "RelaxLoss: Defending Membership Inference Attacks without Losing Utility" (ICLR 2022)☆48Aug 18, 2022Updated 3 years ago
- SAP Security research sample code and tutorials for generating differentially private synthetic datasets using generative deep learning m…☆22Mar 7, 2024Updated 2 years ago