mtuann / fedlearn-backdoor-attacks
Fast integration of backdoor attacks in machine learning and federated learning.
☆49Updated 11 months ago
Related projects ⓘ
Alternatives and complementary repositories for fedlearn-backdoor-attacks
- Backdoor Stuff in AI/ ML domain☆18Updated this week
- IBA: Towards Irreversible Backdoor Attacks in Federated Learning (Poster at NeurIPS 2023)☆29Updated last year
- [ICLR 2023, Best Paper Award at ECCV’22 AROW Workshop] FLIP: A Provable Defense Framework for Backdoor Mitigation in Federated Learning☆44Updated last year
- Code for Data Poisoning Attacks Against Federated Learning Systems☆169Updated 3 years ago
- An Empirical Study of Federated Unlearning: Efficiency and Effectiveness (Accepted Conference Track Papers at ACML 2023)☆15Updated last year
- [ICML 2023] Official code implementation of "Chameleon: Adapting to Peer Images for Planting Durable Backdoors in Federated Learning (htt…☆32Updated last month
- Competitive Programming Training☆13Updated last week
- ☆34Updated 2 years ago
- [Usenix Security 2024] Official code implementation of "BackdoorIndicator: Leveraging OOD Data for Proactive Backdoor Detection in Federa…☆27Updated last month
- ICML 2022 code for "Neurotoxin: Durable Backdoors in Federated Learning" https://arxiv.org/abs/2206.10341☆63Updated last year
- ☆45Updated last year
- Blades: A Unified Benchmark Suite for Byzantine Attacks and Defenses in Federated Learning☆133Updated 3 months ago
- This repo implements several algorithms for learning with differential privacy.☆102Updated last year
- ☆14Updated 2 months ago
- ☆65Updated 2 years ago
- Membership Inference, Attribute Inference and Model Inversion attacks implemented using PyTorch.☆56Updated last month
- reproduce the FLTrust model based on the paper "FLTrust: Byzantine-robust Federated Learning via Trust Bootstrapping"☆26Updated last year
- A curated list of papers & resources linked to data poisoning, backdoor attacks and defenses against them (no longer maintained)☆192Updated 4 months ago
- This repository contains the official implementation for the manuscript: Make Landscape Flatter in Differentially Private Federated Lear…☆42Updated last year
- Official Repository for the AAAI-20 paper "Hidden Trigger Backdoor Attacks"☆117Updated last year
- PyTorch implementation of Security-Preserving Federated Learning via Byzantine-Sensitive Triplet Distance☆31Updated last month
- DBA: Distributed Backdoor Attacks against Federated Learning (ICLR 2020)☆177Updated 3 years ago
- Code for NDSS 2021 Paper "Manipulating the Byzantine: Optimizing Model Poisoning Attacks and Defenses Against Federated Learning"☆135Updated 2 years ago
- ☆22Updated 9 months ago
- nips23-Dynamic Personalized Federated Learning with Adaptive Differential Privacy☆53Updated 2 months ago
- 联邦学习，后门攻击，简单实现☆14Updated 6 months ago
- Official implementation of "FL-WBC: Enhancing Robustness against Model Poisoning Attacks in Federated Learning from a Client Perspective"…☆37Updated 3 years ago
- An open source FL implement with dataset(Femnist, Shakespeare, MNIST, Cifar-10 and Fashion-Mnist) using pytorch☆116Updated last year
- 基于《A Little Is Enough: Circumventing Defenses For Distributed Learning》的联邦学习攻击模型☆61Updated 4 years ago