usc-sail / fed-ser-leakageLinks
☆14Updated 2 years ago
Alternatives and similar repositories for fed-ser-leakage
Users that are interested in fed-ser-leakage are comparing it to the libraries listed below
Sorting:
- This is official code for ACIIDS2022 paper "Meta-learning and Personalization layer in Federated learning"☆30Updated 2 years ago
- Official repository of the paper "Dynamic Defense Against Byzantine Poisoning Attacks in Federated Learning".☆12Updated 3 years ago
- Eluding Secure Aggregation in Federated Learning via Model Inconsistency☆12Updated 2 years ago
- FedDefender is a novel defense mechanism designed to safeguard Federated Learning from the poisoning attacks (i.e., backdoor attacks).☆15Updated last year
- A pytorch implementation of the paper "Auditing Privacy Defenses in Federated Learning via Generative Gradient Leakage".☆61Updated 3 years ago
- The code of AAAI-21 paper titled "Defending against Backdoors in Federated Learning with Robust Learning Rate".☆34Updated 3 years ago
- ☆70Updated 3 years ago
- Repository that contains the code for the paper titled, 'Unifying Distillation with Personalization in Federated Learning'.☆12Updated 4 years ago
- Adversarial attacks and defenses against federated learning.☆20Updated 2 years ago
- Implementation of the paper : "Membership Inference Attacks Against Machine Learning Models", Shokri et al.☆60Updated 6 years ago
- ☆24Updated 3 years ago
- Code for the paper: Label-Only Membership Inference Attacks☆66Updated 4 years ago
- The official code of KDD22 paper "FLDetecotor: Defending Federated Learning Against Model Poisoning Attacks via Detecting Malicious Clien…☆84Updated 2 years ago
- Official implementation of "FL-WBC: Enhancing Robustness against Model Poisoning Attacks in Federated Learning from a Client Perspective"…☆43Updated 4 years ago
- Membership Inference Attack on Federated Learning☆12Updated 3 years ago
- [ICLR 2023, Best Paper Award at ECCV’22 AROW Workshop] FLIP: A Provable Defense Framework for Backdoor Mitigation in Federated Learning☆60Updated 11 months ago
- Federated Learning and Membership Inference Attacks experiments on CIFAR10☆23Updated 5 years ago
- Official implementation of "GRNN: Generative Regression Neural Network - A Data Leakage Attack for Federated Learning"☆33Updated 3 years ago
- Code for USENIX Security 2023 Paper "Every Vote Counts: Ranking-Based Training of Federated Learning to Resist Poisoning Attacks"☆21Updated last year
- Official implementation of "Provable Defense against Privacy Leakage in Federated Learning from Representation Perspective"☆57Updated 2 years ago
- This is the code for our paper `Robust Federated Learning with Attack-Adaptive Aggregation' accepted by FTL-IJCAI'21.☆46Updated 2 years ago
- ☆43Updated 2 years ago
- (NeurIPS 2022) Official Implementation of "Preservation of the Global Knowledge by Not-True Distillation in Federated Learning"☆89Updated 2 years ago
- ☆54Updated 4 years ago
- ☆36Updated 3 years ago
- ☆55Updated 2 years ago
- Pytorch implementation of Backdoor Attack against Speaker Verification☆27Updated 2 years ago
- ☆23Updated 4 years ago
- Official implementation of "RelaxLoss: Defending Membership Inference Attacks without Losing Utility" (ICLR 2022)☆48Updated 3 years ago
- Code & supplementary material of the paper Label Inference Attacks Against Federated Learning on Usenix Security 2022.☆87Updated 2 years ago