JiePKU / ML-LeaksLinks
An unofficial pyotrch implementation of "ML-Leaks:Model and Data Independent Membership Inference Attacks and Defenses on ML Models"
☆11Updated 2 years ago
Alternatives and similar repositories for ML-Leaks
Users that are interested in ML-Leaks are comparing it to the libraries listed below
Sorting:
- ☆12Updated last year
- [USENIX Security 2022] Mitigating Membership Inference Attacks by Self-Distillation Through a Novel Ensemble Architecture☆17Updated 3 years ago
- [AAAI'23] Federated Robustness Propagation: Sharing Robustness in Heterogeneous Federated Learning☆27Updated 2 years ago
- Official Repository for ResSFL (accepted by CVPR '22)☆26Updated 3 years ago
- Code related to the paper "Machine Unlearning of Features and Labels"☆72Updated last year
- Code for the paper: Label-Only Membership Inference Attacks☆67Updated 4 years ago
- Official implementation of "RelaxLoss: Defending Membership Inference Attacks without Losing Utility" (ICLR 2022)☆48Updated 3 years ago
- ☆72Updated 3 years ago
- A pytorch implementation of the paper "Auditing Privacy Defenses in Federated Learning via Generative Gradient Leakage".☆62Updated 3 years ago
- The code of AAAI-21 paper titled "Defending against Backdoors in Federated Learning with Robust Learning Rate".☆35Updated 3 years ago
- ☆13Updated last year
- Membership Inference Attacks and Defenses in Neural Network Pruning☆28Updated 3 years ago
- [ICLR 2023, Best Paper Award at ECCV’22 AROW Workshop] FLIP: A Provable Defense Framework for Backdoor Mitigation in Federated Learning☆60Updated last year
- [ICLR 2023] "Combating Exacerbated Heterogeneity for Robust Models in Federated Learning"☆31Updated last week
- Code for ICLR 2023 Paper Better Generative Replay for Continual Federated Learning☆33Updated 2 years ago
- ☆12Updated 2 years ago
- ☆19Updated 2 years ago
- Membership Inference, Attribute Inference and Model Inversion attacks implemented using PyTorch.☆65Updated last year
- Official code repository for our accepted work "Gradient Driven Rewards to Guarantee Fairness in Collaborative Machine Learning" in NeurI…☆24Updated last year
- ☆15Updated last year
- Camouflage poisoning via machine unlearning☆18Updated 6 months ago
- Official implementation of "When Machine Unlearning Jeopardizes Privacy" (ACM CCS 2021)☆50Updated 3 years ago
- ☆16Updated 6 years ago
- Code for Backdoor Attacks Against Dataset Distillation☆35Updated 2 years ago
- Likelihood Ratio Attack (LiRA) in PyTorch☆17Updated 10 months ago
- Implementation of the paper : "Membership Inference Attacks Against Machine Learning Models", Shokri et al.☆60Updated 6 years ago
- [NeurIPS 2022] SemiFL: Semi-Supervised Federated Learning for Unlabeled Clients with Alternate Training☆42Updated 2 years ago
- ☆55Updated 2 years ago
- ☆26Updated 4 years ago
- Public implementation of the paper "On the Importance of Difficulty Calibration in Membership Inference Attacks".☆16Updated 4 years ago