☆55Jun 30, 2023Updated 3 years ago
Alternatives and similar repositories for 3DFed
Users that are interested in 3DFed are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- IBA: Towards Irreversible Backdoor Attacks in Federated Learning (Poster at NeurIPS 2023)☆40Sep 10, 2025Updated last year
- ☆18Jun 10, 2024Updated 2 years ago
- ☆32Oct 10, 2023Updated 3 years ago
- [Usenix Security 2024] Official code implementation of "BackdoorIndicator: Leveraging OOD Data for Proactive Backdoor Detection in Federa…☆51Sep 10, 2025Updated last year
- ☆17Dec 7, 2023Updated 2 years ago
- 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.
- The code of AAAI-21 paper titled "Defending against Backdoors in Federated Learning with Robust Learning Rate".☆38Oct 3, 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
- [ICML 2023] Official code implementation of "Chameleon: Adapting to Peer Images for Planting Durable Backdoors in Federated Learning (htt…☆43Sep 9, 2025Updated last year
- DBA: Distributed Backdoor Attacks against Federated Learning (ICLR 2020)☆207Aug 5, 2021Updated 5 years ago
- ☆39Feb 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
- ICML 2022 code for "Neurotoxin: Durable Backdoors in Federated Learning" https://arxiv.org/abs/2206.10341☆84Apr 1, 2023Updated 3 years ago
- ☆17Feb 7, 2024Updated 2 years ago
- Backdoors Framework for Deep Learning and Federated Learning. A light-weight tool to conduct your research on backdoors.☆386Feb 5, 2023Updated 3 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.
- The official code of KDD22 paper "FLDetecotor: Defending Federated Learning Against Model Poisoning Attacks via Detecting Malicious Clien…☆87Feb 23, 2023Updated 3 years ago
- ☆71Jun 7, 2022Updated 4 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
- 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
- [Preprint] Backdoor Attacks on Federated Learning with Lottery Ticket Hypothesis☆10Sep 23, 2021Updated 5 years ago
- Multi-metrics adaptively identifies backdoors in Federated learning☆39Aug 7, 2025Updated last year
- [ICLR 2025] Official implementation for "Bad-PFL: EXPLORING BACKDOOR ATTACKS AGAINST PERSONALIZED FEDERATED LEARNING"☆17Feb 14, 2025Updated last year
- [ICLR2024] "Backdoor Federated Learning by Poisoning Backdoor-Critical Layers"☆55Dec 11, 2024Updated last year
- Virtual machines for every use case on DigitalOcean • AdGet dependable uptime with 99.99% SLA, simple security tools, and predictable monthly pricing with DigitalOcean's virtual machines, called Droplets.
- An Efficient & Standardized Benchmark Suite for Backdoor Attacks in Federated Learning☆54Mar 29, 2026Updated 7 months ago
- FLPoison: Benchmarking Poisoning Attacks and Defenses in Federated Learning☆66Apr 15, 2026Updated 6 months ago
- ⚔️ Blades: A Unified Benchmark Suite for Attacks and Defenses in Federated Learning☆157Feb 16, 2025Updated last year
- reproduce the FLTrust model based on the paper "FLTrust: Byzantine-robust Federated Learning via Trust Bootstrapping"☆37Dec 4, 2022Updated 3 years ago
- Code for Backdoor Attacks Against Dataset Distillation☆37Apr 19, 2023Updated 3 years ago
- ☆57Oct 5, 2022Updated 4 years ago
- Code Repository for the Paper ---Revisiting the Assumption of Latent Separability for Backdoor Defenses (ICLR 2023)☆48Feb 28, 2023Updated 3 years ago
- ☆20Dec 7, 2020Updated 5 years ago
- A PyTorch based repository for Federate Learning with Differential Privacy☆19Mar 3, 2023Updated 3 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.
- A curated list of papers & resources linked to data poisoning, backdoor attacks and defenses against them (no longer maintained)☆292Jan 11, 2025Updated last year
- ☆25Nov 13, 2025Updated 11 months ago
- A backdoor defense for federated learning via isolated subspace training (NeurIPS2023)☆31Jan 1, 2024Updated 2 years ago
- Official implementation of "FL-WBC: Enhancing Robustness against Model Poisoning Attacks in Federated Learning from a Client Perspective"…☆44Oct 29, 2021Updated 5 years ago
- ☆12Jan 28, 2023Updated 3 years ago
- ☆42Feb 7, 2024Updated 2 years ago
- Unofficial PyTorch implementation of Anti Distillation Backdoor Attacks(MM '21)☆10Sep 7, 2023Updated 3 years ago