Source code for paper "How to Backdoor Federated Learning" (https://arxiv.org/abs/1807.00459)
☆316Jul 25, 2024Updated last year
Alternatives and similar repositories for backdoor_federated_learning
Users that are interested in backdoor_federated_learning are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- DBA: Distributed Backdoor Attacks against Federated Learning (ICLR 2020)☆205Aug 5, 2021Updated 4 years ago
- Backdoors Framework for Deep Learning and Federated Learning. A light-weight tool to conduct your research on backdoors.☆381Feb 5, 2023Updated 3 years ago
- ICML 2022 code for "Neurotoxin: Durable Backdoors in Federated Learning" https://arxiv.org/abs/2206.10341☆85Apr 1, 2023Updated 3 years ago
- ☆72Jun 7, 2022Updated 3 years ago
- Code for "Analyzing Federated Learning through an Adversarial Lens" https://arxiv.org/abs/1811.12470☆153Oct 3, 2022Updated 3 years ago
- End-to-end encrypted email - Proton Mail • AdSpecial offer: 40% Off Yearly / 80% Off First Month. All Proton services are open source and independently audited for security.
- A sybil-resilient distributed learning protocol.☆113Sep 9, 2025Updated 8 months ago
- Code for Data Poisoning Attacks Against Federated Learning Systems☆205Jun 13, 2021Updated 4 years ago
- CRFL: Certifiably Robust Federated Learning against Backdoor Attacks (ICML 2021)☆74Aug 5, 2021Updated 4 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
- [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
- ☆54Jun 30, 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
- 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
- ☆38Apr 9, 2021Updated 5 years ago
- GPU virtual machines on DigitalOcean Gradient AI • AdGet to production fast with high-performance AMD and NVIDIA GPUs you can spin up in seconds. The definition of operational simplicity.
- Code for NDSS 2021 Paper "Manipulating the Byzantine: Optimizing Model Poisoning Attacks and Defenses Against Federated Learning"☆150Aug 6, 2022Updated 3 years ago
- ☆31Apr 8, 2020Updated 6 years ago
- [ICLR2024] "Backdoor Federated Learning by Poisoning Backdoor-Critical Layers"☆53Dec 11, 2024Updated last year
- Official implementation of "FL-WBC: Enhancing Robustness against Model Poisoning Attacks in Federated Learning from a Client Perspective"…☆43Oct 29, 2021Updated 4 years ago
- This is the code for our paper `Robust Federated Learning with Attack-Adaptive Aggregation' accepted by FTL-IJCAI'21.☆46Jun 12, 2023Updated 2 years ago
- A PyTorch Implementation of Federated Learning☆1,514Jul 25, 2024Updated last year
- FedDefender is a novel defense mechanism designed to safeguard Federated Learning from the poisoning attacks (i.e., backdoor attacks).☆16Jul 6, 2024Updated last year
- Leaf: A Benchmark for Federated Settings☆906Mar 24, 2023Updated 3 years ago
- ⚔️ Blades: A Unified Benchmark Suite for Attacks and Defenses in Federated Learning☆155Feb 16, 2025Updated last year
- 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 official code of KDD22 paper "FLDetecotor: Defending Federated Learning Against Model Poisoning Attacks via Detecting Malicious Clien…☆87Feb 23, 2023Updated 3 years ago
- TrojanZoo provides a universal pytorch platform to conduct security researches (especially backdoor attacks/defenses) of image classifica…☆303Aug 25, 2025Updated 9 months ago
- [Usenix Security 2024] Official code implementation of "BackdoorIndicator: Leveraging OOD Data for Proactive Backdoor Detection in Federa…☆48Sep 10, 2025Updated 8 months ago
- Fair Resource Allocation in Federated Learning (ICLR '20)☆254Dec 2, 2023Updated 2 years ago
- ☆170Dec 14, 2017Updated 8 years ago
- Algorithms to recover input data from their gradient signal through a neural network☆319Apr 14, 2023Updated 3 years ago
- Simulate a federated setting and run differentially private federated learning.☆390Mar 7, 2025Updated last year
- Code for Exploiting Unintended Feature Leakage in Collaborative Learning (in Oakland 2019)☆56May 28, 2019Updated 6 years ago
- Code implementation of the paper "Neural Cleanse: Identifying and Mitigating Backdoor Attacks in Neural Networks", at IEEE Security and P…☆320Feb 28, 2020Updated 6 years ago
- Serverless GPU API endpoints on Runpod - Get Bonus Credits • AdSkip the infrastructure headaches. Auto-scaling, pay-as-you-go, no-ops approach lets you focus on innovating your application.
- A list of backdoor learning resources☆1,169Jul 31, 2024Updated last year
- ☆53Jun 22, 2021Updated 4 years ago
- [ICML 2023] Official code implementation of "Chameleon: Adapting to Peer Images for Planting Durable Backdoors in Federated Learning (htt…☆43Sep 9, 2025Updated 8 months ago
- Implementation of Communication-Efficient Learning of Deep Networks from Decentralized Data☆1,436May 7, 2024Updated 2 years ago
- [NeurIPS 2019] Deep Leakage From Gradients☆483Apr 17, 2022Updated 4 years ago
- ☆38Feb 7, 2024Updated 2 years ago
- RAB: Provable Robustness Against Backdoor Attacks☆39Oct 3, 2023Updated 2 years ago