Code for Data Poisoning Attacks Against Federated Learning Systems
☆206Jun 13, 2021Updated 4 years ago
Alternatives and similar repositories for DataPoisoning_FL
Users that are interested in DataPoisoning_FL 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)☆204Aug 5, 2021Updated 4 years ago
- Source code for paper "How to Backdoor Federated Learning" (https://arxiv.org/abs/1807.00459)☆314Jul 25, 2024Updated last year
- This is the code for our paper `Robust Federated Learning with Attack-Adaptive Aggregation' accepted by FTL-IJCAI'21.☆47Jun 12, 2023Updated 2 years ago
- Code for NDSS 2021 Paper "Manipulating the Byzantine: Optimizing Model Poisoning Attacks and Defenses Against Federated Learning"☆151Aug 6, 2022Updated 3 years ago
- Official implementation of "FL-WBC: Enhancing Robustness against Model Poisoning Attacks in Federated Learning from a Client Perspective"…☆44Oct 29, 2021Updated 4 years ago
- Bare Metal GPUs on DigitalOcean Gradient AI • AdPurpose-built for serious AI teams training foundational models, running large-scale inference, and pushing the boundaries of what's possible.
- ⚔️ Blades: A Unified Benchmark Suite for Attacks and Defenses in Federated Learning☆156Feb 16, 2025Updated last year
- ☆31Apr 8, 2020Updated 6 years ago
- Code for "Analyzing Federated Learning through an Adversarial Lens" https://arxiv.org/abs/1811.12470☆153Oct 3, 2022Updated 3 years ago
- ☆38Apr 9, 2021Updated 5 years ago
- Algorithms to recover input data from their gradient signal through a neural network☆318Apr 14, 2023Updated 2 years ago
- Official repository of the paper "Dynamic Defense Against Byzantine Poisoning Attacks in Federated Learning".☆12Mar 28, 2022Updated 4 years ago
- CRFL: Certifiably Robust Federated Learning against Backdoor Attacks (ICML 2021)☆74Aug 5, 2021Updated 4 years ago
- A sybil-resilient distributed learning protocol.☆112Sep 9, 2025Updated 7 months ago
- [Preprint] Backdoor Attacks on Federated Learning with Lottery Ticket Hypothesis☆10Sep 23, 2021Updated 4 years ago
- 1-Click AI Models by DigitalOcean Gradient • AdDeploy popular AI models on DigitalOcean Gradient GPU virtual machines with just a single click and start building anything your business needs.
- Adversarial attacks and defenses against federated learning.☆20May 24, 2023Updated 2 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
- A unified benchmark problem for data poisoning attacks☆162Oct 4, 2023Updated 2 years ago
- Backdoors Framework for Deep Learning and Federated Learning. A light-weight tool to conduct your research on backdoors.☆379Feb 5, 2023Updated 3 years ago
- ☆56Feb 19, 2023Updated 3 years ago
- The official code of KDD22 paper "FLDetecotor: Defending Federated Learning Against Model Poisoning Attacks via Detecting Malicious Clien…☆86Feb 23, 2023Updated 3 years ago
- Gradient-Leakage Resilient Federated Learning☆14Jul 25, 2022Updated 3 years ago
- ☆73Jun 7, 2022Updated 3 years ago
- [NeurIPS 2019] Deep Leakage From Gradients☆475Apr 17, 2022Updated 3 years ago
- NordVPN Special Discount Offer • AdSave on top-rated NordVPN 1 or 2-year plans with secure browsing, privacy protection, and support for for all major platforms.
- The code for "Improved Deep Leakage from Gradients" (iDLG).☆166Mar 4, 2021Updated 5 years ago
- SAFEFL: MPC-friendly Framework for Private and Robust Federated Learning☆49Aug 18, 2023Updated 2 years ago
- ☆13Sep 12, 2021Updated 4 years ago
- A PyTorch Implementation of Federated Learning☆1,512Jul 25, 2024Updated last year
- Implementation of a client reputation, gradient checking and homomorphic encryption mechanism to defend a federated learning system from …☆17Jan 11, 2024Updated 2 years ago
- ICML 2022 code for "Neurotoxin: Durable Backdoors in Federated Learning" https://arxiv.org/abs/2206.10341☆83Apr 1, 2023Updated 3 years ago
- A Simulator for Privacy Preserving Federated Learning☆95Jan 12, 2021Updated 5 years ago
- ☆21Oct 25, 2021Updated 4 years ago
- The reproduction of the paper Deep Models Under the GAN: Information Leakage from Collaborative Deep Learning.☆63Feb 2, 2023Updated 3 years ago
- Wordpress hosting with auto-scaling on Cloudways • AdFully Managed hosting built for WordPress-powered businesses that need reliable, auto-scalable hosting. Cloudways SafeUpdates now available.
- Implementations of data poisoning attacks against neural networks and related defenses.☆105Jul 16, 2024Updated last year
- [Usenix Security 2024] Official code implementation of "BackdoorIndicator: Leveraging OOD Data for Proactive Backdoor Detection in Federa…☆48Sep 10, 2025Updated 6 months ago
- Backdoor detection in Federated learning with similarity measurement☆26Apr 30, 2022Updated 3 years ago
- Implementation of Communication-Efficient Learning of Deep Networks from Decentralized Data☆1,434May 7, 2024Updated last year
- Study of data imbalance and asynchronous aggregation algorithm on Federated Learning system (using PySyft)☆63Oct 9, 2023Updated 2 years ago
- A Fine-grained Differentially Private Federated Learning against Leakage from Gradients☆15Jan 18, 2023Updated 3 years ago
- Crab: Towards Efficient and Certified Recovery from Poisoning Attacks in Federated Learning☆27May 27, 2024Updated last year