Multi-metrics adaptively identifies backdoors in Federated learning
☆39Aug 7, 2025Updated 11 months ago
Alternatives and similar repositories for Multi-metrics
Users that are interested in Multi-metrics are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- [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
- ☆18Jun 10, 2024Updated 2 years ago
- ☆33Oct 10, 2023Updated 2 years ago
- Backdoor detection in Federated learning with similarity measurement☆26Apr 30, 2022Updated 4 years ago
- Code for USENIX Security 2023 Paper "Every Vote Counts: Ranking-Based Training of Federated Learning to Resist Poisoning Attacks"☆19May 19, 2024Updated 2 years ago
- Open source password manager - Proton Pass • AdSecurely store, share, and autofill your credentials with Proton Pass, the end-to-end encrypted password manager trusted by millions.
- Github Repo for AAAI 2023 paper: On the Vulnerability of Backdoor Defenses for Federated Learning☆41Apr 3, 2023Updated 3 years ago
- ⚔️ Blades: A Unified Benchmark Suite for Attacks and Defenses in Federated Learning☆155Feb 16, 2025Updated last year
- The code of AAAI-21 paper titled "Defending against Backdoors in Federated Learning with Robust Learning Rate".☆38Oct 3, 2022Updated 3 years ago
- The official code of KDD22 paper "FLDetecotor: Defending Federated Learning Against Model Poisoning Attacks via Detecting Malicious Clien…☆87Feb 23, 2023Updated 3 years ago
- A sybil-resilient distributed learning protocol.☆113Sep 9, 2025Updated 9 months ago
- ☆38Feb 7, 2024Updated 2 years ago
- [ICLR2024] "Backdoor Federated Learning by Poisoning Backdoor-Critical Layers"☆54Dec 11, 2024Updated last year
- ICML 2022 code for "Neurotoxin: Durable Backdoors in Federated Learning" https://arxiv.org/abs/2206.10341☆85Apr 1, 2023Updated 3 years ago
- ☆14May 5, 2022Updated 4 years ago
- 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.
- NN-EMD framework: efficiently training neural networks using encrypted multi-sourced datasets☆14Jun 6, 2021Updated 5 years ago
- Aggregation Service for Federated Learning: An Efficient, Secure, and More Resilient Realization☆13Jun 21, 2021Updated 5 years ago
- ☆24Nov 11, 2022Updated 3 years ago
- ☆14Nov 12, 2024Updated last year
- Privacy-preserving federated learning is distributed machine learning where multiple collaborators train a model through protected gradi…☆31Jun 9, 2021Updated 5 years ago
- Official implementation of the paper "From Optimization to Generalization: Fair Federated Learning against Quality Shift via Inter-Client…☆12Mar 13, 2025Updated last year
- Decentralized, Secure, Verifiable System for Statistical Queries and Machine Learning on Distributed Datasets☆39Feb 25, 2023Updated 3 years ago
- ☆22Apr 30, 2022Updated 4 years ago
- Official implementation of (CVPR 2022 Oral) Towards Practical Deployment-Stage Backdoor Attack on Deep Neural Networks.☆27Jul 3, 2025Updated last year
- 1-Click AI Models by DigitalOcean Gradient • AdDeploy popular AI models on DigitalOcean Gradient GPU virtual machines with just a single click. Zero configuration with optimized deployments.
- ☆72Jun 7, 2022Updated 4 years ago
- Implementation of paper "More is Better (Mostly): On the Backdoor Attacks in Federated Graph Neural Networks"☆24May 3, 2023Updated 3 years ago
- The core code for our paper "Beyond Traditional Threats: A Persistent Backdoor Attack on Federated Learning".☆23Dec 25, 2023Updated 2 years ago
- [ICLR 2025] REFINE: Inversion-Free Backdoor Defense via Model Reprogramming☆13Feb 13, 2025Updated last year
- This is the code for our paper `Robust Federated Learning with Attack-Adaptive Aggregation' accepted by FTL-IJCAI'21.☆46Jun 12, 2023Updated 3 years ago
- Scope: On Detecting Constrained Backdoor Attacks in Federated Learning☆22Jul 2, 2025Updated last year
- Code for ICLR 2023 Paper Better Generative Replay for Continual Federated Learning☆33Apr 23, 2023Updated 3 years ago
- A data-free backdoor detector for deep neural networks☆21Mar 8, 2023Updated 3 years ago
- Official implementation of "FL-WBC: Enhancing Robustness against Model Poisoning Attacks in Federated Learning from a Client Perspective"…☆43Oct 29, 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.
- ☆34Aug 24, 2023Updated 2 years ago
- Codes for Dual Stealthy Backdoor☆14Feb 10, 2024Updated 2 years ago
- Code Repository for the Paper ---Revisiting the Assumption of Latent Separability for Backdoor Defenses (ICLR 2023)☆47Feb 28, 2023Updated 3 years ago
- [AAMAS 2025] Privacy-preserving and Personalized RLHF, with convergence guarantees. The Code contains experiments for training multiple i…☆16Apr 16, 2025Updated last year
- [ICML 2023] Official code implementation of "Chameleon: Adapting to Peer Images for Planting Durable Backdoors in Federated Learning (htt…☆43Sep 9, 2025Updated 10 months ago
- Latest Advances on Federated LLM Learning☆111Jul 7, 2025Updated last year
- The official implementation of CVPR 2025 paper "Invisible Backdoor Attack against Self-supervised Learning"☆18Jul 5, 2025Updated last year