zjysteven / PrivacyAttack_AT_FLLinks
[CVPRW'22] A privacy attack that exploits Adversarial Training models to compromise the privacy of Federated Learning systems.
☆11Updated 3 years ago
Alternatives and similar repositories for PrivacyAttack_AT_FL
Users that are interested in PrivacyAttack_AT_FL are comparing it to the libraries listed below
Sorting:
- The code of AAAI-21 paper titled "Defending against Backdoors in Federated Learning with Robust Learning Rate".☆34Updated 2 years ago
- Official implementation of "Provable Defense against Privacy Leakage in Federated Learning from Representation Perspective"☆57Updated 2 years ago
- A pytorch implementation of the paper "Auditing Privacy Defenses in Federated Learning via Generative Gradient Leakage".☆59Updated 2 years ago
- ICML 2022 code for "Neurotoxin: Durable Backdoors in Federated Learning" https://arxiv.org/abs/2206.10341☆73Updated 2 years ago
- ☆54Updated 2 years ago
- Code for the paper: Label-Only Membership Inference Attacks☆66Updated 3 years ago
- Official Repository for ResSFL (accepted by CVPR '22)☆22Updated 3 years ago
- [ICLR 2023, Best Paper Award at ECCV’22 AROW Workshop] FLIP: A Provable Defense Framework for Backdoor Mitigation in Federated Learning☆59Updated 8 months ago
- Adversarial attacks and defenses against federated learning.☆19Updated 2 years ago
- ☆70Updated 3 years ago
- Membership Inference, Attribute Inference and Model Inversion attacks implemented using PyTorch.☆62Updated 10 months ago
- Learning from history for Byzantine Robustness☆24Updated 4 years ago
- CRFL: Certifiably Robust Federated Learning against Backdoor Attacks (ICML 2021)☆73Updated 4 years ago
- ☆14Updated last year
- [ICML 2023] Official code implementation of "Chameleon: Adapting to Peer Images for Planting Durable Backdoors in Federated Learning (htt…☆42Updated 7 months ago
- Official implementation of "RelaxLoss: Defending Membership Inference Attacks without Losing Utility" (ICLR 2022)☆50Updated 2 years ago
- ☆25Updated 3 years ago
- ☆39Updated 4 years ago
- Privacy attacks on Split Learning☆42Updated 3 years ago
- ☆30Updated 5 years ago
- ☆37Updated 3 years ago
- A Fine-grained Differentially Private Federated Learning against Leakage from Gradients☆15Updated 2 years ago
- ☆19Updated 10 months ago
- Membership inference against Federated learning.☆9Updated 4 years ago
- Membership Inference Attacks and Defenses in Neural Network Pruning☆28Updated 3 years ago
- ☆27Updated last year
- ☆32Updated 11 months ago
- The code of the attack scheme in the paper "Backdoor Attack Against Split Neural Network-Based Vertical Federated Learning"☆19Updated last year
- ☆54Updated 4 years ago
- ☆16Updated 6 months ago