AI-secure / CoPur
CoPur: Certifiably Robust Collaborative Inference via Feature Purification (NeurIPS 2022)
☆10Updated 2 years ago
Alternatives and similar repositories for CoPur:
Users that are interested in CoPur are comparing it to the libraries listed below
- ☆38Updated 4 years ago
- Code Repo for paper Label Leakage and Protection in Two-party Split Learning (ICLR 2022).☆23Updated 3 years ago
- ☆68Updated 2 years ago
- Official Repository for ResSFL (accepted by CVPR '22)☆21Updated 2 years ago
- CRFL: Certifiably Robust Federated Learning against Backdoor Attacks (ICML 2021)☆73Updated 3 years ago
- Official code for "Personalized Federated Learning through Local Memorization" (ICML'22)☆43Updated last year
- Official code repository for our accepted work "Gradient Driven Rewards to Guarantee Fairness in Collaborative Machine Learning" in NeurI…☆22Updated 6 months ago
- ☆20Updated 2 years ago
- Official implementation of our work "Collaborative Fairness in Federated Learning."☆51Updated 10 months ago
- ☆54Updated 2 years ago
- Practical One-Shot Federated Learning for Cross-Silo Setting☆42Updated 3 years ago
- The implementatioin code of paper: “A Practical Clean-Label Backdoor Attack with Limited Information in Vertical Federated Learning”☆11Updated last year
- [ICLR 2023, Best Paper Award at ECCV’22 AROW Workshop] FLIP: A Provable Defense Framework for Backdoor Mitigation in Federated Learning☆53Updated 4 months ago
- The code of AAAI-21 paper titled "Defending against Backdoors in Federated Learning with Robust Learning Rate".☆33Updated 2 years ago
- A coupled vertical federated learning framework that boosts the model performance with record similarities (NeurIPS 2022)☆26Updated 2 years ago
- Official implementation of "Provable Defense against Privacy Leakage in Federated Learning from Representation Perspective"☆55Updated last year
- Official Implementation of ICML'23 "Byzantine-Robust Learning on Heterogeneous Data via Gradient Splitting".☆14Updated last year
- Papers related to federated learning in top conferences (2020-2024).☆68Updated 6 months ago
- The code of the attack scheme in the paper "Backdoor Attack Against Split Neural Network-Based Vertical Federated Learning"☆18Updated last year
- [NeurIPS 2022] SemiFL: Semi-Supervised Federated Learning for Unlabeled Clients with Alternate Training☆39Updated last year
- Practical Vertical Federated Learning with Unsupervised Representation Learning (TBD 2022)☆20Updated 3 years ago
- A Fine-grained Differentially Private Federated Learning against Leakage from Gradients☆14Updated 2 years ago
- ☆14Updated 9 months ago
- The implementation of FedBCD algorithm published in the paper "FedBCD: A Communication-Efficient Collaborative Learning Framework for Dis…☆13Updated 9 months ago
- Learning from history for Byzantine Robustness☆22Updated 3 years ago
- [ICLR2023] Towards Understanding and Mitigating Dimensional Collapse in Heterogeneous Federated Learning (https://arxiv.org/abs/2210.0022…☆40Updated 2 years ago
- An implementation for the paper "A Little Is Enough: Circumventing Defenses For Distributed Learning" (NeurIPS 2019)☆26Updated last year
- ICML 2022 code for "Neurotoxin: Durable Backdoors in Federated Learning" https://arxiv.org/abs/2206.10341☆71Updated 2 years ago
- ☆21Updated 3 years ago
- [ICLR 2023] "Combating Exacerbated Heterogeneity for Robust Models in Federated Learning"☆32Updated last year