⚔️ Blades: A Unified Benchmark Suite for Attacks and Defenses in Federated Learning
☆155Feb 16, 2025Updated last year
Alternatives and similar repositories for blades
Users that are interested in blades are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Code for NDSS 2021 Paper "Manipulating the Byzantine: Optimizing Model Poisoning Attacks and Defenses Against Federated Learning"☆150Aug 6, 2022Updated 3 years ago
- Official implementation of "FL-WBC: Enhancing Robustness against Model Poisoning Attacks in Federated Learning from a Client Perspective"…☆43Oct 29, 2021Updated 4 years ago
- Byzantine-robust Federated Learning☆16Sep 21, 2023Updated 2 years ago
- ☆18Feb 2, 2022Updated 4 years ago
- ☆38Apr 9, 2021Updated 5 years ago
- Managed Kubernetes at scale on DigitalOcean • AdDigitalOcean Kubernetes includes the control plane, bandwidth allowance, container registry, automatic updates, and more for free.
- The official code of KDD22 paper "FLDetecotor: Defending Federated Learning Against Model Poisoning Attacks via Detecting Malicious Clien…☆87Feb 23, 2023Updated 3 years ago
- ☆55Feb 19, 2023Updated 3 years ago
- Code for Data Poisoning Attacks Against Federated Learning Systems☆205Jun 13, 2021Updated 4 years ago
- Adversarial attacks and defenses against federated learning.☆20May 24, 2023Updated 3 years ago
- ☆24Nov 11, 2022Updated 3 years ago
- ☆20Apr 12, 2023Updated 3 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
- Multi-metrics adaptively identifies backdoors in Federated learning☆38Aug 7, 2025Updated 9 months ago
- Official repository of the paper "Dynamic Defense Against Byzantine Poisoning Attacks in Federated Learning".☆12Mar 28, 2022Updated 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.
- Learning from history for Byzantine Robustness☆26Jun 11, 2021Updated 4 years ago
- Source code for paper "How to Backdoor Federated Learning" (https://arxiv.org/abs/1807.00459)☆316Jul 25, 2024Updated last year
- ☆31Apr 8, 2020Updated 6 years ago
- PyTorch implementation of Security-Preserving Federated Learning via Byzantine-Sensitive Triplet Distance☆34Oct 11, 2024Updated last year
- ☆12Sep 12, 2021Updated 4 years ago
- ☆19Dec 7, 2020Updated 5 years ago
- Distributed Momentum for Byzantine-resilient Stochastic Gradient Descent (ICLR 2021)☆22May 6, 2021Updated 5 years ago
- ☆72Jun 7, 2022Updated 3 years ago
- A sybil-resilient distributed learning protocol.☆113Sep 9, 2025Updated 8 months 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.
- ICML 2022 code for "Neurotoxin: Durable Backdoors in Federated Learning" https://arxiv.org/abs/2206.10341☆85Apr 1, 2023Updated 3 years ago
- Code for USENIX Security 2023 Paper "Every Vote Counts: Ranking-Based Training of Federated Learning to Resist Poisoning Attacks"☆19May 19, 2024Updated 2 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
- Code & supplementary material of the paper Label Inference Attacks Against Federated Learning on Usenix Security 2022.☆87Jun 27, 2023Updated 2 years ago
- ☆54Jun 30, 2023Updated 2 years ago
- [Preprint] Backdoor Attacks on Federated Learning with Lottery Ticket Hypothesis☆10Sep 23, 2021Updated 4 years ago
- PyTorch implementation of Fast-Convergent Federated Learning via Cyclic Aggregation, including FedAvg, FedProx, MOON, and FedRS☆15Jun 28, 2023Updated 2 years ago
- Official code repository for our accepted work "Gradient Driven Rewards to Guarantee Fairness in Collaborative Machine Learning" in NeurI…☆28Sep 28, 2024Updated last year
- Gradient-Leakage Resilient Federated Learning☆14Jul 25, 2022Updated 3 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.
- reproduce the FLTrust model based on the paper "FLTrust: Byzantine-robust Federated Learning via Trust Bootstrapping"☆36Dec 4, 2022Updated 3 years ago
- ☆38Feb 7, 2024Updated 2 years ago
- Everything you want about DP-Based Federated Learning, including Papers and Code. (Mechanism: Laplace or Gaussian, Dataset: femnist, shak…☆421Oct 26, 2024Updated last year
- Breaching privacy in federated learning scenarios for vision and text☆320Jan 24, 2026Updated 4 months ago
- Official implementation of "FL-WBC: Enhancing Robustness against Model Poisoning Attacks in Federated Learning from a Client Perspective"…☆87Jun 6, 2020Updated 5 years ago
- Profit Allocation for Federated Learning☆25Apr 27, 2020Updated 6 years ago
- Master Federated Learning in 2 Hours—Run It on Your PC!☆2,127Jan 25, 2026Updated 4 months ago