gdisag / gradient_disaggregationLinks
☆15Updated last year
Alternatives and similar repositories for gradient_disaggregation
Users that are interested in gradient_disaggregation are comparing it to the libraries listed below
Sorting:
- ☆54Updated 4 years ago
- CRFL: Certifiably Robust Federated Learning against Backdoor Attacks (ICML 2021)☆73Updated 4 years ago
- Code for "Analyzing Federated Learning through an Adversarial Lens" https://arxiv.org/abs/1811.12470☆151Updated 2 years ago
- Adversarial attacks and defenses against federated learning.☆19Updated 2 years ago
- ☆30Updated 5 years ago
- This repo implements several algorithms for learning with differential privacy.☆108Updated 2 years ago
- Learning from history for Byzantine Robustness☆24Updated 4 years ago
- ☆70Updated 3 years ago
- Official implementation of "Provable Defense against Privacy Leakage in Federated Learning from Representation Perspective"☆57Updated 2 years ago
- Salvaging Federated Learning by Local Adaptation☆56Updated last year
- Simplicial-FL to manage client device heterogeneity in Federated Learning☆22Updated 2 years ago
- ☆54Updated 2 years ago
- ☆16Updated 6 years ago
- ☆12Updated 4 years ago
- ☆40Updated last year
- ☆16Updated 6 years ago
- This is the code for our paper `Robust Federated Learning with Attack-Adaptive Aggregation' accepted by FTL-IJCAI'21.☆45Updated 2 years ago
- R-GAP: Recursive Gradient Attack on Privacy [Accepted at ICLR 2021]☆37Updated 2 years ago
- The code of AAAI-21 paper titled "Defending against Backdoors in Federated Learning with Robust Learning Rate".☆34Updated 2 years ago
- Official code for "Personalized Federated Learning through Local Memorization" (ICML'22)☆42Updated 2 years ago
- The code for "Improved Deep Leakage from Gradients" (iDLG).☆152Updated 4 years ago
- code for TPDS paper "Towards Fair and Privacy-Preserving Federated Deep Models"☆31Updated 3 years ago
- Robust aggregation for federated learning with the RFA algorithm.☆48Updated 2 years ago
- Code to reproduce experiments in "Antipodes of Label Differential Privacy PATE and ALIBI"☆32Updated 3 years ago
- Membership Inference, Attribute Inference and Model Inversion attacks implemented using PyTorch.☆62Updated 10 months ago
- Official code repository for our accepted work "Gradient Driven Rewards to Guarantee Fairness in Collaborative Machine Learning" in NeurI…☆24Updated 10 months ago
- Implementation of the paper : "Membership Inference Attacks Against Machine Learning Models", Shokri et al.☆58Updated 6 years ago
- Official implementation of our work "Collaborative Fairness in Federated Learning."☆53Updated last year
- Distributed Momentum for Byzantine-resilient Stochastic Gradient Descent (ICLR 2021)☆22Updated 4 years ago
- Official implementation of "FL-WBC: Enhancing Robustness against Model Poisoning Attacks in Federated Learning from a Client Perspective"…☆84Updated 5 years ago