TinfoilHat0 / Defending-Against-Backdoors-with-Robust-Learning-RateLinks
The code of AAAI-21 paper titled "Defending against Backdoors in Federated Learning with Robust Learning Rate".
☆34Updated 3 years ago
Alternatives and similar repositories for Defending-Against-Backdoors-with-Robust-Learning-Rate
Users that are interested in Defending-Against-Backdoors-with-Robust-Learning-Rate are comparing it to the libraries listed below
Sorting:
- ☆38Updated 4 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
- ☆70Updated 3 years ago
- ICML 2022 code for "Neurotoxin: Durable Backdoors in Federated Learning" https://arxiv.org/abs/2206.10341☆76Updated 2 years ago
- Github Repo for AAAI 2023 paper: On the Vulnerability of Backdoor Defenses for Federated Learning☆40Updated 2 years ago
- CRFL: Certifiably Robust Federated Learning against Backdoor Attacks (ICML 2021)☆73Updated 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
- This is the code for our paper `Robust Federated Learning with Attack-Adaptive Aggregation' accepted by FTL-IJCAI'21.☆46Updated 2 years ago
- ☆55Updated 2 years ago
- Official implementation of "Provable Defense against Privacy Leakage in Federated Learning from Representation Perspective"☆57Updated 2 years ago
- ☆28Updated 2 years ago
- ☆34Updated last year
- Official implementation of "FL-WBC: Enhancing Robustness against Model Poisoning Attacks in Federated Learning from a Client Perspective"…☆43Updated 4 years ago
- [ICML 2023] Official code implementation of "Chameleon: Adapting to Peer Images for Planting Durable Backdoors in Federated Learning (htt…☆42Updated 2 months ago
- Code for NDSS 2021 Paper "Manipulating the Byzantine: Optimizing Model Poisoning Attacks and Defenses Against Federated Learning"☆147Updated 3 years ago
- A pytorch implementation of the paper "Auditing Privacy Defenses in Federated Learning via Generative Gradient Leakage".☆61Updated 3 years ago
- Membership Inference, Attribute Inference and Model Inversion attacks implemented using PyTorch.☆65Updated last year
- ☆24Updated last week
- This is a simple backdoor model for federated learning.We use MNIST as the original data set for data attack and we use CIFAR-10 data set…☆14Updated 5 years ago
- DBA: Distributed Backdoor Attacks against Federated Learning (ICLR 2020)☆199Updated 4 years ago
- A Fine-grained Differentially Private Federated Learning against Leakage from Gradients☆15Updated 2 years ago
- ☆55Updated 2 years ago
- Code & supplementary material of the paper Label Inference Attacks Against Federated Learning on Usenix Security 2022.☆85Updated 2 years ago
- ☆24Updated 3 years ago
- Implementation of BapFL: You can Backdoor Attack Personalized Federated Learning☆14Updated 2 years ago
- Implementation of the paper : "Membership Inference Attacks Against Machine Learning Models", Shokri et al.☆60Updated 6 years ago
- ☆30Updated 5 years ago
- Backdoor detection in Federated learning with similarity measurement☆26Updated 3 years ago
- ☆36Updated 3 years ago
- The code for "Improved Deep Leakage from Gradients" (iDLG).☆157Updated 4 years ago