A sybil-resilient distributed learning protocol.
☆111Sep 9, 2025Updated 5 months ago
Alternatives and similar repositories for FoolsGold
Users that are interested in FoolsGold are comparing it to the libraries listed below
Sorting:
- Robust aggregation for federated learning with the RFA algorithm.☆53Sep 13, 2022Updated 3 years ago
- ☆31Apr 8, 2020Updated 5 years ago
- Source code for paper "How to Backdoor Federated Learning" (https://arxiv.org/abs/1807.00459)☆314Jul 25, 2024Updated last year
- ☆73Jun 7, 2022Updated 3 years ago
- DBA: Distributed Backdoor Attacks against Federated Learning (ICLR 2020)☆202Aug 5, 2021Updated 4 years ago
- Code for "Analyzing Federated Learning through an Adversarial Lens" https://arxiv.org/abs/1811.12470☆152Oct 3, 2022Updated 3 years ago
- An implementation for the paper "A Little Is Enough: Circumventing Defenses For Distributed Learning" (NeurIPS 2019)☆28Jun 29, 2023Updated 2 years ago
- Code for NDSS 2021 Paper "Manipulating the Byzantine: Optimizing Model Poisoning Attacks and Defenses Against Federated Learning"☆148Aug 6, 2022Updated 3 years ago
- CRFL: Certifiably Robust Federated Learning against Backdoor Attacks (ICML 2021)☆74Aug 5, 2021Updated 4 years ago
- Code for Data Poisoning Attacks Against Federated Learning Systems☆206Jun 13, 2021Updated 4 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
- Learning from history for Byzantine Robustness☆25Jun 11, 2021Updated 4 years ago
- ☆19Dec 7, 2020Updated 5 years ago
- Implementation of BapFL: You can Backdoor Attack Personalized Federated Learning☆15Sep 18, 2023Updated 2 years ago
- Official implementation of our work "Collaborative Fairness in Federated Learning."☆55May 28, 2024Updated last year
- [Preprint] On the Effectiveness of Mitigating Data Poisoning Attacks with Gradient Shaping☆10Feb 27, 2020Updated 6 years ago
- Multi-metrics adaptively identifies backdoors in Federated learning☆37Aug 7, 2025Updated 6 months ago
- Gradient-Leakage Resilient Federated Learning☆14Jul 25, 2022Updated 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
- ☆55Feb 19, 2023Updated 3 years ago
- ☆26Jan 25, 2019Updated 7 years ago
- ☆29Dec 22, 2022Updated 3 years ago
- ☆16Apr 12, 2023Updated 2 years ago
- ⚔️ Blades: A Unified Benchmark Suite for Attacks and Defenses in Federated Learning☆156Feb 16, 2025Updated last year
- Official implementation of "FL-WBC: Enhancing Robustness against Model Poisoning Attacks in Federated Learning from a Client Perspective"…☆44Oct 29, 2021Updated 4 years ago
- Backdoors Framework for Deep Learning and Federated Learning. A light-weight tool to conduct your research on backdoors.☆378Feb 5, 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
- Code for the paper "Pretrained Models for Multilingual Federated Learning" at NAACL 2022☆11Aug 9, 2022Updated 3 years ago
- Adversarial attacks and defenses against federated learning.☆20May 24, 2023Updated 2 years ago
- Ditto: Fair and Robust Federated Learning Through Personalization (ICML '21)☆158Apr 30, 2022Updated 3 years ago
- The reproduction of the paper Deep Models Under the GAN: Information Leakage from Collaborative Deep Learning.☆63Feb 2, 2023Updated 3 years ago
- [IJCNN 2021] FedCM: A Real-time Contribution Measurement Method for Participants in Federated Learning☆11Aug 21, 2021Updated 4 years ago
- ☆12Dec 9, 2020Updated 5 years ago
- [ICLR 2023, Best Paper Award at ECCV’22 AROW Workshop] FLIP: A Provable Defense Framework for Backdoor Mitigation in Federated Learning☆60Dec 11, 2024Updated last year
- Differentially Private Federated Learning: A Client Level Perspective☆12Jul 3, 2019Updated 6 years ago
- Distributed Momentum for Byzantine-resilient Stochastic Gradient Descent (ICLR 2021)☆21May 6, 2021Updated 4 years ago
- Leaf: A Benchmark for Federated Settings☆900Mar 24, 2023Updated 2 years ago
- ☆38Apr 9, 2021Updated 4 years ago
- ☆39Feb 7, 2024Updated 2 years ago