ICML 2022 code for "Neurotoxin: Durable Backdoors in Federated Learning" https://arxiv.org/abs/2206.10341
☆84Apr 1, 2023Updated 3 years ago
Alternatives and similar repositories for Federated-Learning-Backdoor
Users that are interested in Federated-Learning-Backdoor are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Source code for paper "How to Backdoor Federated Learning" (https://arxiv.org/abs/1807.00459)☆316Jul 25, 2024Updated last year
- DBA: Distributed Backdoor Attacks against Federated Learning (ICLR 2020)☆205Aug 5, 2021Updated 4 years ago
- ☆72Jun 7, 2022Updated 3 years ago
- [ICML 2023] Official code implementation of "Chameleon: Adapting to Peer Images for Planting Durable Backdoors in Federated Learning (htt…☆43Sep 9, 2025Updated 7 months ago
- [ICLR 2023, Best Paper Award at ECCV’22 AROW Workshop] FLIP: A Provable Defense Framework for Backdoor Mitigation in Federated Learning☆59Dec 11, 2024Updated last year
- End-to-end encrypted cloud storage - Proton Drive • AdSpecial offer: 40% Off Yearly / 80% Off First Month. Protect your most important files, photos, and documents from prying eyes.
- Backdoors Framework for Deep Learning and Federated Learning. A light-weight tool to conduct your research on backdoors.☆381Feb 5, 2023Updated 3 years ago
- [Preprint] Backdoor Attacks on Federated Learning with Lottery Ticket Hypothesis☆10Sep 23, 2021Updated 4 years ago
- ☆31Oct 10, 2023Updated 2 years ago
- Github Repo for AAAI 2023 paper: On the Vulnerability of Backdoor Defenses for Federated Learning☆41Apr 3, 2023Updated 3 years ago
- CRFL: Certifiably Robust Federated Learning against Backdoor Attacks (ICML 2021)☆74Aug 5, 2021Updated 4 years ago
- ☆54Jun 30, 2023Updated 2 years ago
- The code of AAAI-21 paper titled "Defending against Backdoors in Federated Learning with Robust Learning Rate".☆38Oct 3, 2022Updated 3 years ago
- ☆18Jun 10, 2024Updated last year
- Backdoor detection in Federated learning with similarity measurement☆26Apr 30, 2022Updated 4 years ago
- AI Agents on DigitalOcean Gradient AI Platform • AdBuild production-ready AI agents using customizable tools or access multiple LLMs through a single endpoint. Create custom knowledge bases or connect external data.
- This is a simple backdoor model for federated learning.We use MNIST as the original data set for data attack and we use CIFAR-10 data set…☆14Jun 19, 2020Updated 5 years ago
- IBA: Towards Irreversible Backdoor Attacks in Federated Learning (Poster at NeurIPS 2023)☆41Sep 10, 2025Updated 7 months ago
- Official Repository for ResSFL (accepted by CVPR '22)☆26Jun 24, 2022Updated 3 years ago
- Code for NDSS 2021 Paper "Manipulating the Byzantine: Optimizing Model Poisoning Attacks and Defenses Against Federated Learning"☆149Aug 6, 2022Updated 3 years ago
- [ICLR2024] "Backdoor Federated Learning by Poisoning Backdoor-Critical Layers"☆52Dec 11, 2024Updated last year
- ☆29Jun 17, 2024Updated last year
- A list of backdoor learning resources☆1,165Jul 31, 2024Updated last year
- The official code of KDD22 paper "FLDetecotor: Defending Federated Learning Against Model Poisoning Attacks via Detecting Malicious Clien…☆87Feb 23, 2023Updated 3 years ago
- ☆33Dec 9, 2021Updated 4 years ago
- Deploy open-source AI quickly and easily - Special Bonus Offer • AdRunpod Hub is built for open source. One-click deployment and autoscaling endpoints without provisioning your own infrastructure.
- ☆13May 17, 2024Updated last year
- Code for ICLR 2023 Paper Better Generative Replay for Continual Federated Learning☆33Apr 23, 2023Updated 3 years ago
- ☆25Nov 13, 2025Updated 5 months ago
- Multi-metrics adaptively identifies backdoors in Federated learning☆37Aug 7, 2025Updated 8 months ago
- ☆38Feb 7, 2024Updated 2 years ago
- ⚔️ Blades: A Unified Benchmark Suite for Attacks and Defenses in Federated Learning☆155Feb 16, 2025Updated last year
- ☆600Jul 4, 2025Updated 10 months ago
- WAFFLE: Watermarking in Federated Learning☆23Aug 21, 2023Updated 2 years ago
- Code for paper "Poisoned classifiers are not only backdoored, they are fundamentally broken"☆26Jan 7, 2022Updated 4 years ago
- Deploy on Railway without the complexity - Free Credits Offer • AdConnect your repo and Railway handles the rest with instant previews. Quickly provision container image services, databases, and storage volumes.
- The core code for our paper "Beyond Traditional Threats: A Persistent Backdoor Attack on Federated Learning".☆23Dec 25, 2023Updated 2 years ago
- Implementation of BapFL: You can Backdoor Attack Personalized Federated Learning☆15Sep 18, 2023Updated 2 years ago
- An implementation for the paper "A Little Is Enough: Circumventing Defenses For Distributed Learning" (NeurIPS 2019)☆29Jun 29, 2023Updated 2 years ago
- Breaching privacy in federated learning scenarios for vision and text☆320Jan 24, 2026Updated 3 months ago
- Code for "Analyzing Federated Learning through an Adversarial Lens" https://arxiv.org/abs/1811.12470☆153Oct 3, 2022Updated 3 years ago
- ☆55Feb 19, 2023Updated 3 years ago
- Code for Data Poisoning Attacks Against Federated Learning Systems☆205Jun 13, 2021Updated 4 years ago