☆38Apr 9, 2021Updated 5 years ago
Alternatives and similar repositories for Attacks-and-Defenses-in-Federated-Learning
Users that are interested in Attacks-and-Defenses-in-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:
- 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
- 基于《A Little Is Enough: Circumventing Defenses For Distributed Learning》的联邦学习攻击模型☆65May 22, 2020Updated 5 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
- ☆31Apr 8, 2020Updated 6 years ago
- ⚔️ Blades: A Unified Benchmark Suite for Attacks and Defenses in Federated Learning☆155Feb 16, 2025Updated last year
- Managed hosting for WordPress and PHP on Cloudways • AdManaged hosting for WordPress, Magento, Laravel, or PHP apps, on multiple cloud providers. Deploy in minutes on Cloudways by DigitalOcean.
- Official implementation of "FL-WBC: Enhancing Robustness against Model Poisoning Attacks in Federated Learning from a Client Perspective"…☆43Oct 29, 2021Updated 4 years ago
- DBA: Distributed Backdoor Attacks against Federated Learning (ICLR 2020)☆205Aug 5, 2021Updated 4 years ago
- Code for NDSS 2021 Paper "Manipulating the Byzantine: Optimizing Model Poisoning Attacks and Defenses Against Federated Learning"☆150Aug 6, 2022Updated 3 years ago
- Github Repo for AAAI 2023 paper: On the Vulnerability of Backdoor Defenses for Federated Learning☆41Apr 3, 2023Updated 3 years ago
- ☆14Feb 26, 2025Updated last year
- Code for Data Poisoning Attacks Against Federated Learning Systems☆205Jun 13, 2021Updated 4 years ago
- Source code for paper "How to Backdoor Federated Learning" (https://arxiv.org/abs/1807.00459)☆316Jul 25, 2024Updated last year
- A list of papers using/about Federated Learning especially malicious client and attacks.☆12Aug 22, 2020Updated 5 years ago
- [Preprint] Backdoor Attacks on Federated Learning with Lottery Ticket Hypothesis☆10Sep 23, 2021Updated 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 official code of KDD22 paper "FLDetecotor: Defending Federated Learning Against Model Poisoning Attacks via Detecting Malicious Clien…☆87Feb 23, 2023Updated 3 years ago
- The official code for ICML 2024 "FedREDefense: Defending against Model Poisoning Attacks for Federated Learning using Model Update Recons…☆30Jun 6, 2024Updated last year
- ☆72Jun 7, 2022Updated 3 years ago
- Backdoor detection in Federated learning with similarity measurement☆26Apr 30, 2022Updated 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
- Reverse Engineering Imperceptible Backdoor Attacks on Deep Neural Networks for Detection and Training Set Cleansing☆14Feb 18, 2021Updated 5 years ago
- ☆20Oct 28, 2025Updated 6 months ago
- ☆15Dec 7, 2023Updated 2 years ago
- Fast integration of backdoor attacks in federated learning with updated attacks and defenses.☆65Jan 19, 2026Updated 3 months ago
- Wordpress hosting with auto-scaling - Free Trial Offer • AdFully Managed hosting for WordPress and WooCommerce businesses that need reliable, auto-scalable performance. Cloudways SafeUpdates now available.
- ☆12Dec 9, 2020Updated 5 years ago
- ☆10Oct 23, 2021Updated 4 years ago
- A sybil-resilient distributed learning protocol.☆113Sep 9, 2025Updated 8 months ago
- Robust aggregation for federated learning with the RFA algorithm.☆54Sep 13, 2022Updated 3 years ago
- Algorithms to recover input data from their gradient signal through a neural network☆319Apr 14, 2023Updated 3 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
- PyTorch implementation of Security-Preserving Federated Learning via Byzantine-Sensitive Triplet Distance☆34Oct 11, 2024Updated last year
- Code for "Analyzing Federated Learning through an Adversarial Lens" https://arxiv.org/abs/1811.12470☆153Oct 3, 2022Updated 3 years ago
- 用python画出一幅标准的五星红旗,庆祝国庆节!☆11Oct 14, 2022Updated 3 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.
- ICML 2022 code for "Neurotoxin: Durable Backdoors in Federated Learning" https://arxiv.org/abs/2206.10341☆84Apr 1, 2023Updated 3 years ago
- VeReMi Extension: A Dataset for Comparable Evaluation of Misbehavior Detection in VANETs☆21Nov 15, 2025Updated 5 months ago
- competition☆16Aug 1, 2020Updated 5 years ago
- ☆27Nov 9, 2022Updated 3 years ago
- PyTorch implementation of Fast-Convergent Federated Learning via Cyclic Aggregation, including FedAvg, FedProx, MOON, and FedRS☆15Jun 28, 2023Updated 2 years ago
- [ICLR 2025] REFINE: Inversion-Free Backdoor Defense via Model Reprogramming☆13Feb 13, 2025Updated last year
- Machine Learning & Security Seminar @Purdue University☆25May 9, 2023Updated 3 years ago