JunyiZhu-AI / surrogate_model_extension
Surrogate Model Extension (SME): A Fast and Accurate Weight Update Attack on Federated Learning [Accepted at ICML 2023]
☆12Updated last year
Alternatives and similar repositories for surrogate_model_extension
Users that are interested in surrogate_model_extension are comparing it to the libraries listed below
Sorting:
- Official Implementation of ICML'23 "Byzantine-Robust Learning on Heterogeneous Data via Gradient Splitting".☆14Updated last year
- ☆55Updated 2 years ago
- Official implementation of "Provable Defense against Privacy Leakage in Federated Learning from Representation Perspective"☆56Updated 2 years ago
- Implementation of BapFL: You can Backdoor Attack Personalized Federated Learning☆13Updated last year
- ☆38Updated 4 years ago
- The code of AAAI-21 paper titled "Defending against Backdoors in Federated Learning with Robust Learning Rate".☆33Updated 2 years ago
- ☆27Updated 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
- A PyTorch based repository for Federate Learning with Differential Privacy☆16Updated 2 years ago
- ☆34Updated 3 years ago
- ☆69Updated 2 years ago
- Official Repository for ResSFL (accepted by CVPR '22)☆21Updated 2 years ago
- [ICML 2023] Official code implementation of "Chameleon: Adapting to Peer Images for Planting Durable Backdoors in Federated Learning (htt…☆40Updated 4 months ago
- ☆15Updated 11 months ago
- A pytorch implementation of the paper "Auditing Privacy Defenses in Federated Learning via Generative Gradient Leakage".☆58Updated 2 years ago
- Personalized Federated Learning under Mixture of Distributions☆18Updated last year
- ☆10Updated 3 years ago
- Official PyTorch implementation of DENSE (NeurIPS 2022)☆30Updated 2 years ago
- Code for ICLR 2023 Paper Better Generative Replay for Continual Federated Learning☆28Updated 2 years ago
- A Fine-grained Differentially Private Federated Learning against Leakage from Gradients☆14Updated 2 years ago
- A backdoor defense for federated learning via isolated subspace training (NeurIPS2023)☆23Updated last year
- The is the official implementation of ICML 2023 paper "Revisiting Weighted Aggregation in Federated Learning with Neural Networks".☆56Updated last year
- Differentially Private Federated Learning on Heterogeneous Data☆65Updated 3 years ago
- The core code for our paper "Beyond Traditional Threats: A Persistent Backdoor Attack on Federated Learning".☆21Updated last year
- ☆25Updated 3 years ago
- Github Repo for AAAI 2023 paper: On the Vulnerability of Backdoor Defenses for Federated Learning☆38Updated 2 years ago
- ☆20Updated 3 years ago
- Official code for "Personalized Federated Learning through Local Memorization" (ICML'22)☆43Updated last year
- ☆23Updated last year
- ☆40Updated last year