[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
Alternatives and similar repositories for FLIP
Users that are interested in FLIP are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- A backdoor defense for federated learning via isolated subspace training (NeurIPS2023)☆31Jan 1, 2024Updated 2 years ago
- Backdoor detection in Federated learning with similarity measurement☆26Apr 30, 2022Updated 4 years ago
- Github Repo for AAAI 2023 paper: On the Vulnerability of Backdoor Defenses for Federated Learning☆41Apr 3, 2023Updated 3 years ago
- ☆18Jun 10, 2024Updated 2 years ago
- [Oakland 2024] Exploring the Orthogonality and Linearity of Backdoor Attacks☆30Apr 15, 2025Updated last year
- AI Agents on DigitalOcean Gradient AI Platform • AdBuild production-ready AI agents using customizable tools or access multiple LLMs through a single endpoint. Create custom knowledge bases or connect external data.
- [ECCV'24] UNIT: Backdoor Mitigation via Automated Neural Distribution Tightening☆10Dec 18, 2025Updated 9 months ago
- Multi-metrics adaptively identifies backdoors in Federated learning☆39Aug 7, 2025Updated last year
- ☆20Feb 11, 2024Updated 2 years ago
- ICML 2022 code for "Neurotoxin: Durable Backdoors in Federated Learning" https://arxiv.org/abs/2206.10341☆85Apr 1, 2023Updated 3 years ago
- ☆16Dec 29, 2023Updated 2 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
- A toolbox for backdoor attacks.☆22Jan 13, 2023Updated 3 years ago
- IBA: Towards Irreversible Backdoor Attacks in Federated Learning (Poster at NeurIPS 2023)☆41Sep 10, 2025Updated last year
- This is the implementation for IEEE S&P 2022 paper "Model Orthogonalization: Class Distance Hardening in Neural Networks for Better Secur…☆11Aug 24, 2022Updated 4 years ago
- Simple, predictable pricing with DigitalOcean hosting • AdAlways know what you'll pay with monthly caps and flat pricing. Enterprise-grade infrastructure trusted by 600k+ customers.
- ☆54Feb 19, 2023Updated 3 years ago
- [IEEE S&P'24] ODSCAN: Backdoor Scanning for Object Detection Models☆22Oct 5, 2025Updated 11 months ago
- [NDSS'23] BEAGLE: Forensics of Deep Learning Backdoor Attack for Better Defense☆17May 7, 2024Updated 2 years ago
- FedDefender is a novel defense mechanism designed to safeguard Federated Learning from the poisoning attacks (i.e., backdoor attacks).☆16Jul 6, 2024Updated 2 years ago
- ☆55Jun 30, 2023Updated 3 years ago
- [AAAI'21] Deep Feature Space Trojan Attack of Neural Networks by Controlled Detoxification☆30Dec 31, 2024Updated last year
- ☆17Sep 4, 2024Updated 2 years ago
- ☆25Nov 13, 2025Updated 10 months ago
- [USENIX Security 2025] SOFT: Selective Data Obfuscation for Protecting LLM Fine-tuning against Membership Inference Attacks☆23Sep 18, 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 for paper "FedGame: A Game-Theoretic Defense against Backdoor Attacks in Federated Learning" (NeurIPS 2023).☆13Oct 25, 2024Updated last year
- Official repository for CVPR'23 paper: Detecting Backdoors in Pre-trained Encoders☆39Sep 25, 2023Updated 3 years ago
- Source code for paper "How to Backdoor Federated Learning" (https://arxiv.org/abs/1807.00459)☆316Jul 25, 2024Updated 2 years ago
- Implementation of BapFL: You can Backdoor Attack Personalized Federated Learning☆15Sep 18, 2023Updated 3 years ago
- ☆12May 27, 2022Updated 4 years ago
- ☆10Oct 31, 2022Updated 3 years ago
- [CVPR'24] LOTUS: Evasive and Resilient Backdoor Attacks through Sub-Partitioning☆15Apr 17, 2026Updated 5 months ago
- Siren: Byzantine-robust Federated Learning via Proactive Alarming (SoCC '21)☆11Mar 28, 2024Updated 2 years ago
- ☆14May 17, 2024Updated 2 years ago
- GPUs on demand by Runpod - Special Offer Available • AdRun AI, ML, and HPC workloads on powerful cloud GPUs—without limits or wasted spend. Deploy GPUs in under a minute and pay by the second.
- ☆71Jun 7, 2022Updated 4 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
- The core code for our paper "Beyond Traditional Threats: A Persistent Backdoor Attack on Federated Learning".☆23Dec 25, 2023Updated 2 years ago
- This is the implementation for CVPR 2022 Oral paper "Better Trigger Inversion Optimization in Backdoor Scanning."☆24Apr 5, 2022Updated 4 years ago
- Official implementation of Resisting Backdoor Attacks in Federated Learning via Bidirectional Elections and Individual Perspective☆13Sep 4, 2024Updated 2 years ago
- [Usenix Security 2024] Official code implementation of "BackdoorIndicator: Leveraging OOD Data for Proactive Backdoor Detection in Federa…☆50Sep 10, 2025Updated last year
- [ICLR 2025] Official implementation for "Bad-PFL: EXPLORING BACKDOOR ATTACKS AGAINST PERSONALIZED FEDERATED LEARNING"☆17Feb 14, 2025Updated last year