Hazelsuko07 / EMALinks
☆16Updated 4 years ago
Alternatives and similar repositories for EMA
Users that are interested in EMA are comparing it to the libraries listed below
Sorting:
- Methods for removing learned data from neural nets and evaluation of those methods☆38Updated 5 years ago
- ☆59Updated 5 years ago
- ☆26Updated 4 years ago
- This repo implements several algorithms for learning with differential privacy.☆111Updated 3 years ago
- Official implementation of "RelaxLoss: Defending Membership Inference Attacks without Losing Utility" (ICLR 2022)☆48Updated 3 years ago
- ☆32Updated last year
- Code for the CSF 2018 paper "Privacy Risk in Machine Learning: Analyzing the Connection to Overfitting"☆39Updated 6 years ago
- [USENIX Security 2022] Mitigating Membership Inference Attacks by Self-Distillation Through a Novel Ensemble Architecture☆17Updated 3 years ago
- Code related to the paper "Machine Unlearning of Features and Labels"☆72Updated last year
- Public implementation of ICML'19 paper "White-box vs Black-box: Bayes Optimal Strategies for Membership Inference"☆18Updated 5 years ago
- [ICLR'21] Dataset Inference for Ownership Resolution in Machine Learning☆32Updated 3 years ago
- [NeurIPS23 (Spotlight)] "Model Sparsity Can Simplify Machine Unlearning" by Jinghan Jia*, Jiancheng Liu*, Parikshit Ram, Yuguang Yao, Gao…☆80Updated last year
- Code for Auditing DPSGD☆37Updated 3 years ago
- Official implementation of "When Machine Unlearning Jeopardizes Privacy" (ACM CCS 2021)☆50Updated 3 years ago
- ☆13Updated 3 years ago
- Certified Removal from Machine Learning Models☆69Updated 4 years ago
- ☆21Updated 4 years ago
- ☆31Updated 4 years ago
- Implementation of the paper : "Membership Inference Attacks Against Machine Learning Models", Shokri et al.☆60Updated 6 years ago
- Public implementation of the paper "On the Importance of Difficulty Calibration in Membership Inference Attacks".☆16Updated 4 years ago
- ☆19Updated 2 years ago
- Pytorch implementation of backdoor unlearning.☆21Updated 3 years ago
- ☆26Updated 6 years ago
- ☆54Updated 4 years ago
- [KDD2021] Federated Adversarial Debiasing for Fair and Transferable Representations: Optimize an adversarial domain-adaptation objective …☆26Updated 2 years ago
- Python package to create adversarial agents for membership inference attacks againts machine learning models☆47Updated 6 years ago
- ☆50Updated last year
- ☆72Updated 3 years ago
- Official codes for "Understanding Deep Gradient Leakage via Inversion Influence Functions", NeurIPS 2023☆16Updated 2 years ago
- [KDD 2022] "Bilateral Dependency Optimization: Defending Against Model-inversion Attacks"☆24Updated 4 months ago