AI-secure / DBA
DBA: Distributed Backdoor Attacks against Federated Learning (ICLR 2020)
☆177Updated 3 years ago
Related projects ⓘ
Alternatives and complementary repositories for DBA
- Code for NDSS 2021 Paper "Manipulating the Byzantine: Optimizing Model Poisoning Attacks and Defenses Against Federated Learning"☆135Updated 2 years ago
- Code for Data Poisoning Attacks Against Federated Learning Systems☆169Updated 3 years ago
- CRFL: Certifiably Robust Federated Learning against Backdoor Attacks (ICML 2021)☆71Updated 3 years ago
- The code for "Improved Deep Leakage from Gradients" (iDLG).☆145Updated 3 years ago
- Source code for paper "How to Backdoor Federated Learning" (https://arxiv.org/abs/1807.00459)☆273Updated 4 months ago
- Code for "Analyzing Federated Learning through an Adversarial Lens" https://arxiv.org/abs/1811.12470☆146Updated 2 years ago
- A sybil-resilient distributed learning protocol.☆94Updated last year
- The official code of KDD22 paper "FLDetecotor: Defending Federated Learning Against Model Poisoning Attacks via Detecting Malicious Clien…☆74Updated last year
- ☆65Updated 2 years ago
- ICML 2022 code for "Neurotoxin: Durable Backdoors in Federated Learning" https://arxiv.org/abs/2206.10341☆64Updated last year
- An open source FL implement with dataset(Femnist, Shakespeare, MNIST, Cifar-10 and Fashion-Mnist) using pytorch☆116Updated last year
- Blades: A Unified Benchmark Suite for Byzantine Attacks and Defenses in Federated Learning☆133Updated 3 months ago
- ☆38Updated 3 years ago
- ☆45Updated last year
- Robust aggregation for federated learning with the RFA algorithm.☆45Updated 2 years ago
- Official implementation of "FL-WBC: Enhancing Robustness against Model Poisoning Attacks in Federated Learning from a Client Perspective"…☆37Updated 3 years ago
- ☆53Updated last year
- Ditto: Fair and Robust Federated Learning Through Personalization (ICML '21)☆137Updated 2 years ago
- This repository contains the official implementation for the manuscript: Make Landscape Flatter in Differentially Private Federated Lear…☆42Updated last year
- Clustered Federated Learning: Model-Agnostic Distributed Multi-Task Optimization under Privacy Constraints☆160Updated 3 years ago
- Algorithms to recover input data from their gradient signal through a neural network☆274Updated last year
- ☆55Updated 3 years ago
- Implementing the algorithm from our paper: "A Reputation Mechanism Is All You Need: Collaborative Fairness and Adversarial Robustness in …☆33Updated 5 months ago
- ☆22Updated 9 months ago
- This is the code for our paper `Robust Federated Learning with Attack-Adaptive Aggregation' accepted by FTL-IJCAI'21.☆43Updated last year
- ☆37Updated 9 months ago
- 基于《A Little Is Enough: Circumventing Defenses For Distributed Learning》的联邦学习攻击模型☆61Updated 4 years ago
- Accenture Labs Federated Learning☆94Updated 8 months ago
- FedMD: Heterogenous Federated Learning via Model Distillation☆149Updated 3 years ago
- Code & supplementary material of the paper Label Inference Attacks Against Federated Learning on Usenix Security 2022.☆79Updated last year