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:
- A pytorch implementation of the paper "Auditing Privacy Defenses in Federated Learning via Generative Gradient Leakage".☆60Updated 2 years ago
- The code of AAAI-21 paper titled "Defending against Backdoors in Federated Learning with Robust Learning Rate".☆34Updated 3 years ago
- Official implementation of "Provable Defense against Privacy Leakage in Federated Learning from Representation Perspective"☆57Updated 2 years ago
- ☆54Updated 2 years ago
- Official Repository for ResSFL (accepted by CVPR '22)☆24Updated 3 years ago
- ☆70Updated 3 years ago
- ☆38Updated 4 years ago
- CRFL: Certifiably Robust Federated Learning against Backdoor Attacks (ICML 2021)☆73Updated 4 years ago
- Membership Inference, Attribute Inference and Model Inversion attacks implemented using PyTorch.☆64Updated last year
- Code for the paper: Label-Only Membership Inference Attacks☆66Updated 4 years ago
- [ICLR 2023, Best Paper Award at ECCV’22 AROW Workshop] FLIP: A Provable Defense Framework for Backdoor Mitigation in Federated Learning☆61Updated 10 months ago
- ☆26Updated 3 years ago
- A Fine-grained Differentially Private Federated Learning against Leakage from Gradients☆15Updated 2 years ago
- ☆30Updated 5 years ago
- Adversarial attacks and defenses against federated learning.☆19Updated 2 years ago
- The code for "Improved Deep Leakage from Gradients" (iDLG).☆155Updated 4 years ago
- Membership Inference Attacks and Defenses in Neural Network Pruning☆27Updated 3 years ago
- [ICML 2023] Official code implementation of "Chameleon: Adapting to Peer Images for Planting Durable Backdoors in Federated Learning (htt…☆42Updated last month
- Code for NDSS 2021 Paper "Manipulating the Byzantine: Optimizing Model Poisoning Attacks and Defenses Against Federated Learning"☆148Updated 3 years ago
- ICML 2022 code for "Neurotoxin: Durable Backdoors in Federated Learning" https://arxiv.org/abs/2206.10341☆74Updated 2 years ago
- Official implementation of "FL-WBC: Enhancing Robustness against Model Poisoning Attacks in Federated Learning from a Client Perspective"…☆43Updated 3 years ago
- ☆10Updated 3 years ago
- ☆54Updated 4 years ago
- [AAAI'23] Federated Robustness Propagation: Sharing Robustness in Heterogeneous Federated Learning☆27Updated 2 years ago
- ☆19Updated last year
- ☆27Updated 2 years ago
- Github Repo for AAAI 2023 paper: On the Vulnerability of Backdoor Defenses for Federated Learning☆40Updated 2 years ago
- ☆36Updated 3 years ago
- Implementation of the paper : "Membership Inference Attacks Against Machine Learning Models", Shokri et al.☆58Updated 6 years ago
- This repo implements several algorithms for learning with differential privacy.☆109Updated 2 years ago