Membership Inference Attacks and Defenses in Neural Network Pruning
☆28Jul 12, 2022Updated 3 years ago
Alternatives and similar repositories for mia_prune
Users that are interested in mia_prune are comparing it to the libraries listed below
Sorting:
- [USENIX Security 2022] Mitigating Membership Inference Attacks by Self-Distillation Through a Novel Ensemble Architecture☆16Aug 29, 2022Updated 3 years ago
- ☆32Sep 2, 2024Updated last year
- ☆25Nov 14, 2022Updated 3 years ago
- ☆22Sep 17, 2024Updated last year
- ☆15Apr 4, 2024Updated last year
- ☆33Nov 27, 2023Updated 2 years ago
- Official implementation of "RelaxLoss: Defending Membership Inference Attacks without Losing Utility" (ICLR 2022)☆48Aug 18, 2022Updated 3 years ago
- [ICML 2023] Are Diffusion Models Vulnerable to Membership Inference Attacks?☆43Sep 4, 2024Updated last year
- 🔒 Implementation of Shokri et al(2016) "Membership Inference Attacks against Machine Learning Models"☆34Aug 29, 2022Updated 3 years ago
- Code for the paper: Label-Only Membership Inference Attacks☆68Sep 11, 2021Updated 4 years ago
- ☆13Apr 12, 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
- ☆371Jan 4, 2026Updated 2 months ago
- Public implementation of the paper "On the Importance of Difficulty Calibration in Membership Inference Attacks".☆16Dec 1, 2021Updated 4 years ago
- pytorch implements data enhancement and network regularization methods: cutmix, cutout, shakedrop, mixup, Label smoothing☆11Aug 19, 2021Updated 4 years ago
- ☆10Mar 20, 2023Updated 3 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
- Python package to create adversarial agents for membership inference attacks againts machine learning models☆46Feb 12, 2019Updated 7 years ago
- Implementation of the paper : "Membership Inference Attacks Against Machine Learning Models", Shokri et al.☆59May 12, 2019Updated 6 years ago
- Shadow Attack, LiRA, Quantile Regression and RMIA implementations in PyTorch (Online version)☆14Nov 8, 2024Updated last year
- ☆12Sep 26, 2024Updated last year
- Code for AAAI 2021 Paper "Membership Privacy for Machine Learning Models Through Knowledge Transfer"☆11Apr 5, 2021Updated 4 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
- Official repo for An Efficient Membership Inference Attack for the Diffusion Model by Proximal Initialization☆16Mar 8, 2024Updated 2 years ago
- Privacy Risks of Securing Machine Learning Models against Adversarial Examples☆46Nov 25, 2019Updated 6 years ago
- ☆19Feb 22, 2023Updated 3 years ago
- ☆17Oct 11, 2021Updated 4 years ago
- Code for paper "Membership Inference Attacks Against Vision-Language Models"☆27Jan 25, 2025Updated last year
- Privacy Meter: An open-source library to audit data privacy in statistical and machine learning algorithms.☆704Apr 26, 2025Updated 10 months ago
- Data-free knowledge distillation using Gaussian noise (NeurIPS paper)☆15Mar 24, 2023Updated 2 years ago
- Network Simulation of jitter, packet loss and time delay☆13Jul 16, 2018Updated 7 years ago
- ☆22Dec 22, 2024Updated last year
- 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
- Likelihood Ratio Attack (LiRA) in PyTorch☆17Mar 3, 2025Updated last year
- This project's goal is to evaluate the privacy leakage of differentially private machine learning models.☆137Dec 8, 2022Updated 3 years ago
- GAP: Differentially Private Graph Neural Networks with Aggregation Perturbation (USENIX Security '23)☆49Jul 3, 2023Updated 2 years ago
- See https://github.com/ilyakava/gan for results on Imagenet 128. Code for a Multi-Hinge Loss with K+1 Conditional GANs☆23Jan 10, 2021Updated 5 years ago
- Code for ML Doctor☆91Aug 14, 2024Updated last year
- Membership Inference, Attribute Inference and Model Inversion attacks implemented using PyTorch.☆66Oct 4, 2024Updated last year