liang5211314 / federated_backdoor_attackLinks
联邦学习,后门攻击,简单实现
☆25Updated last year
Alternatives and similar repositories for federated_backdoor_attack
Users that are interested in federated_backdoor_attack are comparing it to the libraries listed below
Sorting:
- [Usenix Security 2024] Official code implementation of "BackdoorIndicator: Leveraging OOD Data for Proactive Backdoor Detection in Federa…☆41Updated 10 months ago
- ☆52Updated 2 years ago
- IBA: Towards Irreversible Backdoor Attacks in Federated Learning (Poster at NeurIPS 2023)☆36Updated last year
- 基于同态加密的联邦学习安全聚合系统☆45Updated 4 years ago
- ☆31Updated last year
- FedAvg code with privacy protection function, the application of Paillier homomorphic encryption algorithm and differential privacy, diff…☆125Updated 10 months ago
- Code & supplementary material of the paper Label Inference Attacks Against Federated Learning on Usenix Security 2022.☆84Updated 2 years ago
- DPSUR☆27Updated 6 months ago
- reproduce the FLTrust model based on the paper "FLTrust: Byzantine-robust Federated Learning via Trust Bootstrapping"☆30Updated 2 years ago
- Code for Data Poisoning Attacks Against Federated Learning Systems☆196Updated 4 years ago
- Paper notes and code for differentially private machine learning☆356Updated 8 months ago
- 联邦学习隐私保护综述☆35Updated 3 years ago
- ☆23Updated last year
- paper code☆26Updated 4 years ago
- ☆16Updated last year
- ☆14Updated 2 years ago
- ⚔️ Blades: A Unified Benchmark Suite for Attacks and Defenses in Federated Learning☆142Updated 5 months ago
- Source code for paper "How to Backdoor Federated Learning" (https://arxiv.org/abs/1807.00459)☆301Updated last year
- Scope: On Detecting Constrained Backdoor Attacks in Federated Learning☆16Updated last month
- ☆39Updated last year
- 基于《A Little Is Enough: Circumventing Defenses For Distributed Learning》的联邦学习攻击模型☆64Updated 5 years ago
- A foundational platform that primarily shares federated learning, differential privacy content☆22Updated 4 months ago
- nips23-Dynamic Personalized Federated Learning with Adaptive Differential Privacy☆81Updated 11 months ago
- ☆14Updated last year
- 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 Resisting Backdoor Attacks in Federated Learning via Bidirectional Elections and Individual Perspective☆13Updated 11 months ago
- PyTorch implementation of Security-Preserving Federated Learning via Byzantine-Sensitive Triplet Distance☆34Updated 10 months ago
- Backdoor detection in Federated learning with similarity measurement☆23Updated 3 years ago
- The project aims to evaluate the vulnerability of Federated Learning systems to targeted data poisoning attack known as Label Flipping At…☆19Updated 3 years ago
- The core code for our paper "Beyond Traditional Threats: A Persistent Backdoor Attack on Federated Learning".☆20Updated last year