congxie1108 / icml2019_zenoLinks
☆16Updated 6 years ago
Alternatives and similar repositories for icml2019_zeno
Users that are interested in icml2019_zeno are comparing it to the libraries listed below
Sorting:
- Code for "Analyzing Federated Learning through an Adversarial Lens" https://arxiv.org/abs/1811.12470☆152Updated 3 years ago
- A sybil-resilient distributed learning protocol.☆106Updated 3 months ago
- Robust aggregation for federated learning with the RFA algorithm.☆52Updated 3 years ago
- CRFL: Certifiably Robust Federated Learning against Backdoor Attacks (ICML 2021)☆73Updated 4 years ago
- ☆54Updated 4 years ago
- Code for NDSS 2021 Paper "Manipulating the Byzantine: Optimizing Model Poisoning Attacks and Defenses Against Federated Learning"☆148Updated 3 years ago
- A list of papers using/about Federated Learning especially malicious client and attacks.☆12Updated 5 years ago
- code for TPDS paper "Towards Fair and Privacy-Preserving Federated Deep Models"☆31Updated 3 years ago
- 基于《A Little Is Enough: Circumventing Defenses For Distributed Learning》的联邦学习攻击模型☆65Updated 5 years ago
- Adversarial attacks and defenses against federated learning.☆20Updated 2 years ago
- ☆30Updated 5 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
- ☆15Updated last year
- DBA: Distributed Backdoor Attacks against Federated Learning (ICLR 2020)☆201Updated 4 years ago
- Code for Exploiting Unintended Feature Leakage in Collaborative Learning (in Oakland 2019)☆56Updated 6 years ago
- The code for "Improved Deep Leakage from Gradients" (iDLG).☆162Updated 4 years ago
- Official implementation of our work "Collaborative Fairness in Federated Learning."☆54Updated last year
- ☆36Updated 3 years ago
- The reproduction of the paper Deep Models Under the GAN: Information Leakage from Collaborative Deep Learning.☆62Updated 2 years ago
- Official implementation of "Provable Defense against Privacy Leakage in Federated Learning from Representation Perspective"☆57Updated 2 years ago
- ☆38Updated 4 years ago
- ☆55Updated 2 years ago
- Source code for paper "How to Backdoor Federated Learning" (https://arxiv.org/abs/1807.00459)☆309Updated last year
- Concentrated Differentially Private Gradient Descent with Adaptive per-iteration Privacy Budget☆49Updated 7 years ago
- Salvaging Federated Learning by Local Adaptation☆56Updated last year
- The official code of KDD22 paper "FLDetecotor: Defending Federated Learning Against Model Poisoning Attacks via Detecting Malicious Clien…☆84Updated 2 years ago
- Learning from history for Byzantine Robustness☆25Updated 4 years ago
- Differential Privacy Preservation in Deep Learning under Model Attacks☆135Updated 4 years ago
- simple Differential Privacy in PyTorch☆49Updated 5 years ago
- Official code repository for our accepted work "Gradient Driven Rewards to Guarantee Fairness in Collaborative Machine Learning" in NeurI…☆24Updated last year