Sungwon-Han / FEDCPALinks
☆17Updated 2 years ago
Alternatives and similar repositories for FEDCPA
Users that are interested in FEDCPA are comparing it to the libraries listed below
Sorting:
- ☆14Updated last year
- ☆38Updated 4 years ago
- Official implementation of "FL-WBC: Enhancing Robustness against Model Poisoning Attacks in Federated Learning from a Client Perspective"…☆44Updated 4 years ago
- PyTorch implementation of Security-Preserving Federated Learning via Byzantine-Sensitive Triplet Distance☆34Updated last year
- ☆30Updated 2 years ago
- The code of AAAI-21 paper titled "Defending against Backdoors in Federated Learning with Robust Learning Rate".☆35Updated 3 years ago
- Membership Inference, Attribute Inference and Model Inversion attacks implemented using PyTorch.☆65Updated last year
- The official code of KDD22 paper "FLDetecotor: Defending Federated Learning Against Model Poisoning Attacks via Detecting Malicious Clien…☆84Updated 2 years ago
- ☆54Updated 4 years ago
- Ditto: Fair and Robust Federated Learning Through Personalization (ICML '21)☆155Updated 3 years ago
- ☆19Updated 5 years ago
- Official implementation of "Provable Defense against Privacy Leakage in Federated Learning from Representation Perspective"☆57Updated 2 years ago
- Papers related to federated learning in top conferences (2020-2024).☆69Updated last year
- [ICLR 2023, Best Paper Award at ECCV’22 AROW Workshop] FLIP: A Provable Defense Framework for Backdoor Mitigation in Federated Learning☆60Updated last year
- ☆55Updated 2 years ago
- ☆72Updated 3 years ago
- This repository contains the official implementation for the manuscript: Make Landscape Flatter in Differentially Private Federated Lear…☆56Updated 2 months ago
- The code for "Improved Deep Leakage from Gradients" (iDLG).☆164Updated 4 years ago
- Code for NDSS 2021 Paper "Manipulating the Byzantine: Optimizing Model Poisoning Attacks and Defenses Against Federated Learning"☆148Updated 3 years ago
- Official code for "Personalized Federated Learning through Local Memorization" (ICML'22)☆44Updated 2 years ago
- ☆162Updated 3 years ago
- CRFL: Certifiably Robust Federated Learning against Backdoor Attacks (ICML 2021)☆74Updated 4 years ago
- ☆36Updated last year
- ☆43Updated 4 years ago
- ☆15Updated last year
- Official PyTorch implementation of DENSE (NeurIPS 2022)☆33Updated 3 years ago
- ☆73Updated 3 years ago
- (NeurIPS 2022) Official Implementation of "Preservation of the Global Knowledge by Not-True Distillation in Federated Learning"☆89Updated 2 years ago
- Adversarial attacks and defenses against federated learning.☆20Updated 2 years ago
- ☆25Updated last month