KaiyuanZh / FLIP
[ICLR 2023, Best Paper Award at ECCV’22 AROW Workshop] FLIP: A Provable Defense Framework for Backdoor Mitigation in Federated Learning
☆55Updated 4 months ago
Alternatives and similar repositories for FLIP:
Users that are interested in FLIP are comparing it to the libraries listed below
- ☆27Updated last year
- [ICML 2023] Official code implementation of "Chameleon: Adapting to Peer Images for Planting Durable Backdoors in Federated Learning (htt…☆40Updated 3 months ago
- IBA: Towards Irreversible Backdoor Attacks in Federated Learning (Poster at NeurIPS 2023)☆36Updated last year
- ☆68Updated 2 years ago
- ☆29Updated last year
- The code of AAAI-21 paper titled "Defending against Backdoors in Federated Learning with Robust Learning Rate".☆33Updated 2 years ago
- Backdoor detection in Federated learning with similarity measurement☆23Updated 2 years ago
- Github Repo for AAAI 2023 paper: On the Vulnerability of Backdoor Defenses for Federated Learning☆37Updated 2 years ago
- [Usenix Security 2024] Official code implementation of "BackdoorIndicator: Leveraging OOD Data for Proactive Backdoor Detection in Federa…☆35Updated 6 months ago
- ICML 2022 code for "Neurotoxin: Durable Backdoors in Federated Learning" https://arxiv.org/abs/2206.10341☆72Updated 2 years ago
- ☆51Updated last year
- A backdoor defense for federated learning via isolated subspace training (NeurIPS2023)☆22Updated last year
- ☆38Updated 4 years ago
- ☆22Updated last year
- ☆54Updated 2 years ago
- ☆14Updated last year
- [ICLR2024] "Backdoor Federated Learning by Poisoning Backdoor-Critical Layers"☆32Updated 4 months ago
- The code of the attack scheme in the paper "Backdoor Attack Against Split Neural Network-Based Vertical Federated Learning"☆18Updated last year
- The implementatioin code of paper: “A Practical Clean-Label Backdoor Attack with Limited Information in Vertical Federated Learning”☆11Updated last year
- Multi-metrics adaptively identifies backdoors in Federated learning☆25Updated last year
- FLTracer: Accurate Poisoning Attack Provenance in Federated Learning☆21Updated 10 months ago
- ☆15Updated 10 months ago
- The official code of KDD22 paper "FLDetecotor: Defending Federated Learning Against Model Poisoning Attacks via Detecting Malicious Clien…☆80Updated 2 years ago
- Implementation of BapFL: You can Backdoor Attack Personalized Federated Learning☆13Updated last year
- Official implementation of "FL-WBC: Enhancing Robustness against Model Poisoning Attacks in Federated Learning from a Client Perspective"…☆39Updated 3 years ago
- The core code for our paper "Beyond Traditional Threats: A Persistent Backdoor Attack on Federated Learning".☆20Updated last year
- FedDefender is a novel defense mechanism designed to safeguard Federated Learning from the poisoning attacks (i.e., backdoor attacks).☆15Updated 9 months ago
- ☆19Updated 2 years ago
- Code for the paper: Label-Only Membership Inference Attacks☆65Updated 3 years ago
- ☆36Updated 3 years ago