Official repository of the paper "Dynamic Defense Against Byzantine Poisoning Attacks in Federated Learning".
☆12Mar 28, 2022Updated 3 years ago
Alternatives and similar repositories for S-DDaBA
Users that are interested in S-DDaBA are comparing it to the libraries listed below
Sorting:
- FedDefender is a novel defense mechanism designed to safeguard Federated Learning from the poisoning attacks (i.e., backdoor attacks).☆15Jul 6, 2024Updated last year
- Adversarial attacks and defenses against federated learning.☆20May 24, 2023Updated 2 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
- Gradient-Leakage Resilient Federated Learning☆14Jul 25, 2022Updated 3 years ago
- MICCAI2023. "One-shot Federated Learning on Medical Data using Knowledge Distillation with Image Synthesis and Client Model Adaptation"☆19Jan 24, 2024Updated 2 years ago
- ☆24Nov 11, 2022Updated 3 years ago
- ⚔️ Blades: A Unified Benchmark Suite for Attacks and Defenses in Federated Learning☆156Feb 16, 2025Updated last year
- Implementation of the paper "An Analysis of Adversarial Attacks and Defenses on Autonomous Driving Models"☆17May 5, 2020Updated 5 years ago
- ☆55Feb 19, 2023Updated 3 years ago
- Federated Learning and Membership Inference Attacks experiments on CIFAR10☆23Jan 29, 2020Updated 6 years ago
- Code for our paper "Byzantine-Resilient Federated Machine Learning via Over-the-Air Computation" (https://arxiv.org/abs/2105.10883).☆26May 26, 2021Updated 4 years ago
- 💉🔐 Novel algorithm for defending against Data Poisoning Attacks in a Federated Learning scenario☆25Apr 22, 2024Updated last year
- Byzantine Attack-Resistant Federated Averaging Based on Outlier Elimination☆24Dec 26, 2022Updated 3 years ago
- Chain-PPFL: A Privacy-Preserving Federated Learning Framework based on Chained SMC☆37Jul 16, 2020Updated 5 years ago
- Implementation of Federated Learning and Blockchain for training machine learning models using a decentralized approach thereby attemptin…☆31Aug 21, 2021Updated 4 years ago
- Fighting Gradients with Gradients: Dynamic Defenses against Adversarial Attacks☆38May 25, 2021Updated 4 years ago
- Code for reproducing work of ICML 2019 paper: Memory-Optimal Direct Convolutions for Maximizing Classification Accuracy in Embedded Appli…☆12Jun 8, 2019Updated 6 years ago
- ☆10Apr 29, 2024Updated last year
- ☆36Jan 5, 2022Updated 4 years ago
- Simplified implementation of federated learning in PyTorch☆32Jan 7, 2021Updated 5 years ago
- DFL working group☆32May 14, 2024Updated last year
- The official code of KDD22 paper "FLDetecotor: Defending Federated Learning Against Model Poisoning Attacks via Detecting Malicious Clien…☆86Feb 23, 2023Updated 3 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
- PyTorch implementation of Security-Preserving Federated Learning via Byzantine-Sensitive Triplet Distance☆34Oct 11, 2024Updated last year
- Github Repo for AAAI 2023 paper: On the Vulnerability of Backdoor Defenses for Federated Learning☆41Apr 3, 2023Updated 2 years ago
- ☆37Dec 23, 2025Updated 2 months ago
- Frame-agnostic XAI Library for Computer Vision, for understanding why models behave that way.☆11Feb 19, 2023Updated 3 years ago
- Windows ARM64 build for TeX Live☆14Mar 13, 2025Updated 11 months ago
- Research simulation toolkit for federated learning☆13Nov 7, 2020Updated 5 years ago
- ☆14May 17, 2024Updated last year
- [ICLR2024] "Backdoor Federated Learning by Poisoning Backdoor-Critical Layers"☆54Dec 11, 2024Updated last year
- Dataset Quantization with Active Learning based Adaptive Sampling [ECCV 2024]☆10Jul 9, 2024Updated last year
- Official Repository for Heterogeneous Models Dataset Condensation (ECCV 2024, Oral)☆10Dec 15, 2024Updated last year
- ☆10Oct 18, 2021Updated 4 years ago
- The implementatioin code of paper: “A Practical Clean-Label Backdoor Attack with Limited Information in Vertical Federated Learning”☆11Jul 1, 2023Updated 2 years ago
- The source code of the paper "Compressed Federated Learning Based on Adaptive Local Differential Privacy".☆10Oct 23, 2023Updated 2 years ago
- "BadPart: Unified Black-box Adversarial Patch Attacks against Pixel-wise Regression Tasks"☆13May 10, 2024Updated last year
- Implementation and results for ICTIR2021 paper: Effective and Privacy-preserving Federated Online Learning to Rank☆10Jul 24, 2021Updated 4 years ago
- ☆14Dec 18, 2024Updated last year