The code of AAAI-21 paper titled "Defending against Backdoors in Federated Learning with Robust Learning Rate".
☆37Oct 3, 2022Updated 3 years ago
Alternatives and similar repositories for Defending-Against-Backdoors-with-Robust-Learning-Rate
Users that are interested in Defending-Against-Backdoors-with-Robust-Learning-Rate are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Github Repo for AAAI 2023 paper: On the Vulnerability of Backdoor Defenses for Federated Learning☆41Apr 3, 2023Updated 2 years ago
- CRFL: Certifiably Robust Federated Learning against Backdoor Attacks (ICML 2021)☆74Aug 5, 2021Updated 4 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
- [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 last year
- NordVPN Special Discount Offer • AdSave on top-rated NordVPN 1 or 2-year plans with secure browsing, privacy protection, and support for for all major platforms.
- [ICLR2024] "Backdoor Federated Learning by Poisoning Backdoor-Critical Layers"☆54Dec 11, 2024Updated last year
- ☆54Jun 30, 2023Updated 2 years ago
- This is the code for our paper `Robust Federated Learning with Attack-Adaptive Aggregation' accepted by FTL-IJCAI'21.☆47Jun 12, 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
- 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
- Code Repository for the Paper ---Revisiting the Assumption of Latent Separability for Backdoor Defenses (ICLR 2023)☆47Feb 28, 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
- Backdoors Framework for Deep Learning and Federated Learning. A light-weight tool to conduct your research on backdoors.☆377Feb 5, 2023Updated 3 years ago
- Managed Kubernetes at scale on DigitalOcean • AdDigitalOcean Kubernetes includes the control plane, bandwidth allowance, container registry, automatic updates, and more for free.
- Model Poisoning Attack to Federated Recommendation☆32Apr 23, 2022Updated 3 years ago
- ☆31Oct 10, 2023Updated 2 years ago
- Multi-metrics adaptively identifies backdoors in Federated learning☆38Aug 7, 2025Updated 7 months ago
- Hybrid Federate Learning Framework for Financial Crime Detection☆13Mar 22, 2024Updated 2 years ago
- DBA: Distributed Backdoor Attacks against Federated Learning (ICLR 2020)☆203Aug 5, 2021Updated 4 years ago
- ☆31Apr 8, 2020Updated 5 years ago
- Official Inplementation of CVPR23 paper "Backdoor Defense via Deconfounded Representation Learning"☆25Mar 13, 2023Updated 3 years ago
- ☆28Mar 24, 2023Updated 3 years ago
- Eluding Secure Aggregation in Federated Learning via Model Inconsistency☆13Mar 10, 2023Updated 3 years ago
- 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.
- ☆38Apr 9, 2021Updated 4 years ago
- Implementation of paper "More is Better (Mostly): On the Backdoor Attacks in Federated Graph Neural Networks"☆24May 3, 2023Updated 2 years ago
- [CVPR 2024] "Data Poisoning based Backdoor Attacks to Contrastive Learning": official code implementation.☆16Feb 10, 2025Updated last year
- Backdoor detection in Federated learning with similarity measurement☆26Apr 30, 2022Updated 3 years ago
- The code for "Improved Deep Leakage from Gradients" (iDLG).☆166Mar 4, 2021Updated 5 years ago
- Code for "Label-Consistent Backdoor Attacks"☆57Nov 22, 2020Updated 5 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
- [Preprint] Backdoor Attacks on Federated Learning with Lottery Ticket Hypothesis☆10Sep 23, 2021Updated 4 years ago
- Source code of FedAttack.☆11Feb 9, 2022Updated 4 years ago
- End-to-end encrypted cloud storage - Proton Drive • AdSpecial offer: 40% Off Yearly / 80% Off First Month. Protect your most important files, photos, and documents from prying eyes.
- Code for paper 'FIBA: Frequency-Injection based Backdoor Attack in Medical Image Analysis'☆39Sep 12, 2022Updated 3 years ago
- IBA: Towards Irreversible Backdoor Attacks in Federated Learning (Poster at NeurIPS 2023)☆40Sep 10, 2025Updated 6 months ago
- Code repository for the paper --- [USENIX Security 2023] Towards A Proactive ML Approach for Detecting Backdoor Poison Samples☆30Jul 11, 2023Updated 2 years ago
- PyTorch implementation of Security-Preserving Federated Learning via Byzantine-Sensitive Triplet Distance☆34Oct 11, 2024Updated last year
- ☆14Oct 7, 2022Updated 3 years ago
- [NeurIPS 2021] Better Safe Than Sorry: Preventing Delusive Adversaries with Adversarial Training☆32Jan 9, 2022Updated 4 years ago
- 用python画出一幅标准的五星红旗,庆祝国庆节!☆11Oct 14, 2022Updated 3 years ago