AI-secure / CoPurLinks
CoPur: Certifiably Robust Collaborative Inference via Feature Purification (NeurIPS 2022)
☆11Updated 3 years ago
Alternatives and similar repositories for CoPur
Users that are interested in CoPur are comparing it to the libraries listed below
Sorting:
- ☆21Updated 3 years ago
- ICML2022: Virtual Homogeneity Learning: Defending against Data Heterogeneity in Federated Learning☆41Updated 3 years ago
- ☆73Updated 3 years ago
- ☆55Updated 2 years ago
- CRFL: Certifiably Robust Federated Learning against Backdoor Attacks (ICML 2021)☆74Updated 4 years ago
- [ICLR2023] Towards Understanding and Mitigating Dimensional Collapse in Heterogeneous Federated Learning (https://arxiv.org/abs/2210.0022…☆40Updated 3 years ago
- [KDD2021] Federated Adversarial Debiasing for Fair and Transferable Representations: Optimize an adversarial domain-adaptation objective …☆26Updated 2 years ago
- Practical One-Shot Federated Learning for Cross-Silo Setting☆41Updated 4 years ago
- A pytorch implementation of the paper "Auditing Privacy Defenses in Federated Learning via Generative Gradient Leakage".☆62Updated 3 years ago
- Official code for "Throughput-Optimal Topology Design for Cross-Silo Federated Learning" (NeurIPS'20)☆32Updated 3 years ago
- ☆30Updated 3 years ago
- ☆31Updated 5 years ago
- Code Repo for paper Label Leakage and Protection in Two-party Split Learning (ICLR 2022).☆22Updated 3 years ago
- [ICML 2023] Optimizing the Collaboration Structure in Cross-Silo Federated Learning. Wenxuan Bao, Haohan Wang, Jun Wu, Jingrui He.☆20Updated 2 years ago
- A coupled vertical federated learning framework that boosts the model performance with record similarities (NeurIPS 2022)☆28Updated 2 years ago
- Official code for "Personalized Federated Learning through Local Memorization" (ICML'22)☆44Updated 2 years ago
- ☆21Updated 4 years ago
- Official code repository for our accepted work "Gradient Driven Rewards to Guarantee Fairness in Collaborative Machine Learning" in NeurI…☆25Updated last year
- FedBE: Making Bayesian Model Ensemble Applicable to Federated Learning☆40Updated 2 years ago
- The code for "Improved Deep Leakage from Gradients" (iDLG).☆165Updated 4 years ago
- A PyTorch implementation for the paper FedCon: A Contrastive Framework for Federated Semi-Supervised Learning.☆24Updated 3 years ago
- Implementation for NIPS2023: A Unified Solution for Privacy and Communication Efficiency in Vertical Federated Learning☆15Updated last year
- Official Repository for ResSFL (accepted by CVPR '22)☆26Updated 3 years ago
- [ICLR 2023] Test-time Robust Personalization for Federated Learning☆55Updated 2 years ago
- ☆18Updated last year
- This repo implements several algorithms for learning with differential privacy.☆110Updated 3 years ago
- [NeurIPS 2022] SemiFL: Semi-Supervised Federated Learning for Unlabeled Clients with Alternate Training☆42Updated 2 years ago
- FedUL: Federated Learning from Only Unlabeled Data with Class-Conditional-Sharing Clients☆32Updated 2 years ago
- This is the repository that introduces research topics related to protecting intellectual property (IP) of AI from a data-centric perspec…☆23Updated 2 years ago
- Official implementation of "Provable Defense against Privacy Leakage in Federated Learning from Representation Perspective"☆57Updated 2 years ago