Guncuke / Flame-Taming-BackdoorView external linksLinks
☆25Nov 13, 2025Updated 3 months ago
Alternatives and similar repositories for Flame-Taming-Backdoor
Users that are interested in Flame-Taming-Backdoor are comparing it to the libraries listed below
Sorting:
- ☆17Jun 10, 2024Updated last year
- ☆37Feb 7, 2024Updated 2 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
- ☆19Nov 17, 2023Updated 2 years ago
- The core code for our paper "Beyond Traditional Threats: A Persistent Backdoor Attack on Federated Learning".☆21Dec 25, 2023Updated 2 years ago
- ☆25Jul 12, 2021Updated 4 years ago
- ☆39Feb 7, 2024Updated 2 years ago
- Official implementation of Resisting Backdoor Attacks in Federated Learning via Bidirectional Elections and Individual Perspective☆13Sep 4, 2024Updated last year
- Official implementation for paper "FedGame: A Game-Theoretic Defense against Backdoor Attacks in Federated Learning" (NeurIPS 2023).☆13Oct 25, 2024Updated last year
- [Preprint] Backdoor Attacks on Federated Learning with Lottery Ticket Hypothesis☆10Sep 23, 2021Updated 4 years ago
- ☆54Jun 30, 2023Updated 2 years ago
- Implementation of BapFL: You can Backdoor Attack Personalized Federated Learning☆15Sep 18, 2023Updated 2 years ago
- ICML 2022 code for "Neurotoxin: Durable Backdoors in Federated Learning" https://arxiv.org/abs/2206.10341☆83Apr 1, 2023Updated 2 years ago
- [CVPR-2024] Text-Enhanced Data-free Approach for Federated Class-Incremental Learning☆18Dec 26, 2024Updated last year
- Eluding Secure Aggregation in Federated Learning via Model Inconsistency☆13Mar 10, 2023Updated 2 years ago
- The code of AAAI-21 paper titled "Defending against Backdoors in Federated Learning with Robust Learning Rate".☆35Oct 3, 2022Updated 3 years ago
- The Code for "Federated Recommender with Additive Personalization"☆40May 28, 2025Updated 8 months ago
- ☆16Apr 12, 2023Updated 2 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
- [ICML 2024 spotlight] This repository contains the implementation details for the paper "Locally Estimated Global Perturbations are Bette…☆24Jul 29, 2024Updated last year
- DBA: Distributed Backdoor Attacks against Federated Learning (ICLR 2020)☆202Aug 5, 2021Updated 4 years ago
- [ACL'25 Main] SelfElicit: Your Language Model Secretly Knows Where is the Relevant Evidence! | 让你的LLM更好地利用上下文文档：一个基于注意力的简单方案☆24Feb 17, 2025Updated 11 months ago
- Multi-metrics adaptively identifies backdoors in Federated learning☆37Aug 7, 2025Updated 6 months ago
- ☆21Oct 25, 2021Updated 4 years ago
- ☆26Dec 14, 2021Updated 4 years ago
- An implementation for the paper "A Little Is Enough: Circumventing Defenses For Distributed Learning" (NeurIPS 2019)☆28Jun 29, 2023Updated 2 years ago
- reproduce the FLTrust model based on the paper "FLTrust: Byzantine-robust Federated Learning via Trust Bootstrapping"☆33Dec 4, 2022Updated 3 years ago
- Code for ICLR 2023 Paper Better Generative Replay for Continual Federated Learning☆33Apr 23, 2023Updated 2 years ago
- The implementation of "Personalized Edge Intelligence via Federated Self- Knowledge Distillation".☆32Nov 21, 2022Updated 3 years ago
- ☆31Oct 10, 2023Updated 2 years ago
- ☆35Oct 4, 2021Updated 4 years ago
- Model Poisoning Attack to Federated Recommendation☆32Apr 23, 2022Updated 3 years ago
- Code for Federated Social Recommendation with Graph Neural Network☆29Nov 22, 2022Updated 3 years ago
- ☆12May 6, 2022Updated 3 years ago
- ☆33Aug 24, 2023Updated 2 years ago
- Track Federated Learning Papers☆38Updated this week
- Github Repo for AAAI 2023 paper: On the Vulnerability of Backdoor Defenses for Federated Learning☆41Apr 3, 2023Updated 2 years ago
- SAFEFL: MPC-friendly Framework for Private and Robust Federated Learning☆49Aug 18, 2023Updated 2 years ago
- BrainWash: A Poisoning Attack to Forget in Continual Learning☆12Apr 15, 2024Updated last year