zlijingtao / ResSFLLinks
Official Repository for ResSFL (accepted by CVPR '22)
☆21Updated 3 years ago
Alternatives and similar repositories for ResSFL
Users that are interested in ResSFL are comparing it to the libraries listed below
Sorting:
- Code for ICLR 2023 Paper Better Generative Replay for Continual Federated Learning☆29Updated 2 years ago
- The code of the attack scheme in the paper "Backdoor Attack Against Split Neural Network-Based Vertical Federated Learning"☆19Updated last year
- Official code repository for our accepted work "Gradient Driven Rewards to Guarantee Fairness in Collaborative Machine Learning" in NeurI…☆23Updated 8 months ago
- ☆70Updated 3 years ago
- The code of AAAI-21 paper titled "Defending against Backdoors in Federated Learning with Robust Learning Rate".☆34Updated 2 years ago
- [ACM Computing Survey 2025] Vertical Federated Learning for Effectiveness, Security, Applicability: A Survey, by MARS Group at Wuhan Univ…☆17Updated 2 months ago
- Adversarial attacks and defenses against federated learning.☆17Updated 2 years ago
- ☆38Updated 4 years ago
- ☆30Updated 5 years ago
- ☆55Updated 2 years ago
- [AAAI'23] Federated Robustness Propagation: Sharing Robustness in Heterogeneous Federated Learning☆26Updated 2 years ago
- A Fine-grained Differentially Private Federated Learning against Leakage from Gradients☆14Updated 2 years ago
- ☆10Updated 3 years ago
- CVPR 2022: FedCorr: Multi-Stage Federated Learning for Label Noise Correction☆35Updated last year
- A pytorch implementation of the paper "Auditing Privacy Defenses in Federated Learning via Generative Gradient Leakage".☆58Updated 2 years ago
- ☆49Updated 5 months ago
- Official implementation of "FL-WBC: Enhancing Robustness against Model Poisoning Attacks in Federated Learning from a Client Perspective"…☆42Updated 3 years ago
- ☆18Updated 4 years ago
- Official implementation of "Provable Defense against Privacy Leakage in Federated Learning from Representation Perspective"☆56Updated 2 years ago
- Multi-metrics adaptively identifies backdoors in Federated learning☆27Updated this week
- ☆26Updated last year
- [ICLR 2023] Test-time Robust Personalization for Federated Learning☆53Updated last year
- Implementation of BapFL: You can Backdoor Attack Personalized Federated Learning☆13Updated last year
- ICML 2022 code for "Neurotoxin: Durable Backdoors in Federated Learning" https://arxiv.org/abs/2206.10341☆73Updated 2 years ago
- ☆34Updated 3 years ago
- ICML2022: Virtual Homogeneity Learning: Defending against Data Heterogeneity in Federated Learning☆41Updated 2 years ago
- [ICLR 2023, Best Paper Award at ECCV’22 AROW Workshop] FLIP: A Provable Defense Framework for Backdoor Mitigation in Federated Learning☆56Updated 6 months ago
- Code release for Tackling Data Heterogeneity in Federated Learning with Class Prototypes appeared on AAAI2023.☆43Updated 2 years ago
- ☆22Updated 3 years ago
- The official code of KDD22 paper "FLDetecotor: Defending Federated Learning Against Model Poisoning Attacks via Detecting Malicious Clien…☆84Updated 2 years ago