mtuann / fedlearn-backdoor-attacks
Fast integration of backdoor attacks in machine learning and federated learning.
☆54Updated last year
Alternatives and similar repositories for fedlearn-backdoor-attacks
Users that are interested in fedlearn-backdoor-attacks are comparing it to the libraries listed below
Sorting:
- IBA: Towards Irreversible Backdoor Attacks in Federated Learning (Poster at NeurIPS 2023)☆36Updated last year
- Backdoor Stuff in AI/ ML domain☆26Updated this week
- [ICML 2023] Official code implementation of "Chameleon: Adapting to Peer Images for Planting Durable Backdoors in Federated Learning (htt…☆40Updated 4 months ago
- ☆52Updated last year
- [ICLR 2023, Best Paper Award at ECCV’22 AROW Workshop] FLIP: A Provable Defense Framework for Backdoor Mitigation in Federated Learning☆56Updated 5 months ago
- [Usenix Security 2024] Official code implementation of "BackdoorIndicator: Leveraging OOD Data for Proactive Backdoor Detection in Federa…☆36Updated 7 months ago
- ☆29Updated last year
- ICML 2022 code for "Neurotoxin: Durable Backdoors in Federated Learning" https://arxiv.org/abs/2206.10341☆74Updated 2 years ago
- ☆27Updated last year
- Code for Data Poisoning Attacks Against Federated Learning Systems☆192Updated 3 years ago
- ☆15Updated last year
- Papers related to Federated Learning in all top venues☆27Updated this week
- ☆23Updated last year
- ☆55Updated 2 years ago
- The core code for our paper "Beyond Traditional Threats: A Persistent Backdoor Attack on Federated Learning".☆21Updated last year
- An Empirical Study of Federated Unlearning: Efficiency and Effectiveness (Accepted Conference Track Papers at ACML 2023)☆17Updated last year
- ☆69Updated 2 years ago
- ☆15Updated 11 months ago
- Scope: On Detecting Constrained Backdoor Attacks in Federated Learning☆12Updated 3 months ago
- The reproduction of the paper Deep Models Under the GAN: Information Leakage from Collaborative Deep Learning.☆62Updated 2 years ago
- reproduce the FLTrust model based on the paper "FLTrust: Byzantine-robust Federated Learning via Trust Bootstrapping"☆29Updated 2 years ago
- Github Repo for AAAI 2023 paper: On the Vulnerability of Backdoor Defenses for Federated Learning☆38Updated 2 years ago
- ☆38Updated 4 years ago
- Backdoor detection in Federated learning with similarity measurement☆23Updated 3 years ago
- Code for NDSS 2021 Paper "Manipulating the Byzantine: Optimizing Model Poisoning Attacks and Defenses Against Federated Learning"☆144Updated 2 years ago
- The official code of KDD22 paper "FLDetecotor: Defending Federated Learning Against Model Poisoning Attacks via Detecting Malicious Clien…☆82Updated 2 years ago
- Official implementation of "FL-WBC: Enhancing Robustness against Model Poisoning Attacks in Federated Learning from a Client Perspective"…☆39Updated 3 years ago
- Multi-metrics adaptively identifies backdoors in Federated learning☆25Updated last year
- A sybil-resilient distributed learning protocol.☆104Updated last year
- ☆36Updated 3 years ago