AI-secure / CoPurLinks
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
Sorting:
- ☆20Updated 3 years ago
- ICML2022: Virtual Homogeneity Learning: Defending against Data Heterogeneity in Federated Learning☆41Updated 2 years ago
- Practical One-Shot Federated Learning for Cross-Silo Setting☆41Updated 4 years ago
- CRFL: Certifiably Robust Federated Learning against Backdoor Attacks (ICML 2021)☆73Updated 4 years ago
- [ICLR2023] Towards Understanding and Mitigating Dimensional Collapse in Heterogeneous Federated Learning (https://arxiv.org/abs/2210.0022…☆40Updated 2 years ago
- ☆29Updated 3 years ago
- ☆24Updated 2 years ago
- [KDD2021] Federated Adversarial Debiasing for Fair and Transferable Representations: Optimize an adversarial domain-adaptation objective …☆26Updated 2 years ago
- Official code for "Personalized Federated Learning through Local Memorization" (ICML'22)☆42Updated 2 years ago
- A PyTorch implementation for the paper FedCon: A Contrastive Framework for Federated Semi-Supervised Learning.☆21Updated 3 years ago
- ☆22Updated 3 years ago
- Official Repository for ResSFL (accepted by CVPR '22)☆24Updated 3 years ago
- A PyTorch based repository for Federate Learning with Differential Privacy☆17Updated 2 years ago
- [ICML2022] ProgFed: Effective, Communication, and Computation Efficient Federated Learning by Progressive Training☆22Updated 2 years ago
- ☆70Updated 3 years ago
- ☆54Updated 2 years ago
- Practical Vertical Federated Learning with Unsupervised Representation Learning (TBD 2022)☆21Updated 3 years ago
- Official code for "Throughput-Optimal Topology Design for Cross-Silo Federated Learning" (NeurIPS'20)☆32Updated 2 years ago
- ☆20Updated 4 years ago
- This is the repository that introduces research topics related to protecting intellectual property (IP) of AI from a data-centric perspec…☆22Updated last year
- Official Implementation of ICML'23 "Byzantine-Robust Learning on Heterogeneous Data via Gradient Splitting".☆14Updated 2 years ago
- Official Inplementation of CVPR23 paper "Backdoor Defense via Deconfounded Representation Learning"☆25Updated 2 years ago
- ☆19Updated last year
- [ICML 2023] Optimizing the Collaboration Structure in Cross-Silo Federated Learning. Wenxuan Bao, Haohan Wang, Jun Wu, Jingrui He.☆18Updated 2 years ago
- Official implementation of our work "Collaborative Fairness in Federated Learning."☆54Updated last year
- Official implementation of "Provable Defense against Privacy Leakage in Federated Learning from Representation Perspective"☆57Updated 2 years ago
- [ICLR 2023] Test-time Robust Personalization for Federated Learning☆53Updated 2 years ago
- FedUL: Federated Learning from Only Unlabeled Data with Class-Conditional-Sharing Clients☆32Updated 2 years ago
- ☆33Updated 3 years ago
- Code Repo for paper Label Leakage and Protection in Two-party Split Learning (ICLR 2022).☆22Updated 3 years ago