CRFL: Certifiably Robust Federated Learning against Backdoor Attacks (ICML 2021)
☆74Aug 5, 2021Updated 4 years ago
Alternatives and similar repositories for CRFL
Users that are interested in CRFL are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- DBA: Distributed Backdoor Attacks against Federated Learning (ICLR 2020)☆204Aug 5, 2021Updated 4 years ago
- The code of AAAI-21 paper titled "Defending against Backdoors in Federated Learning with Robust Learning Rate".☆37Oct 3, 2022Updated 3 years ago
- Github Repo for AAAI 2023 paper: On the Vulnerability of Backdoor Defenses for Federated Learning☆41Apr 3, 2023Updated 3 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 3 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.
- Code for NDSS 2021 Paper "Manipulating the Byzantine: Optimizing Model Poisoning Attacks and Defenses Against Federated Learning"☆151Aug 6, 2022Updated 3 years ago
- ☆73Jun 7, 2022Updated 3 years ago
- Code for "Analyzing Federated Learning through an Adversarial Lens" https://arxiv.org/abs/1811.12470☆153Oct 3, 2022Updated 3 years ago
- Source code for paper "How to Backdoor Federated Learning" (https://arxiv.org/abs/1807.00459)☆314Jul 25, 2024Updated last year
- ☆31Apr 8, 2020Updated 6 years ago
- Backdoors Framework for Deep Learning and Federated Learning. A light-weight tool to conduct your research on backdoors.☆379Feb 5, 2023Updated 3 years ago
- Backdoor detection in Federated learning with similarity measurement☆26Apr 30, 2022Updated 3 years ago
- ☆56Feb 19, 2023Updated 3 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
- 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.
- ☆38Apr 9, 2021Updated 5 years ago
- A sybil-resilient distributed learning protocol.☆112Sep 9, 2025Updated 7 months ago
- Code for Data Poisoning Attacks Against Federated Learning Systems☆206Jun 13, 2021Updated 4 years ago
- [Preprint] Backdoor Attacks on Federated Learning with Lottery Ticket Hypothesis☆10Sep 23, 2021Updated 4 years ago
- A united toolbox for running major robustness verification approaches for DNNs. [S&P 2023]☆89Mar 24, 2023Updated 3 years ago
- This is a simple backdoor model for federated learning.We use MNIST as the original data set for data attack and we use CIFAR-10 data set…☆14Jun 19, 2020Updated 5 years ago
- ☆28Mar 24, 2023Updated 3 years ago
- Official implementation of "FL-WBC: Enhancing Robustness against Model Poisoning Attacks in Federated Learning from a Client Perspective"…☆87Jun 6, 2020Updated 5 years ago
- Federated Learning and Membership Inference Attacks experiments on CIFAR10☆23Jan 29, 2020Updated 6 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.
- ☆36Dec 23, 2025Updated 3 months ago
- ☆16Apr 16, 2019Updated 6 years ago
- ☆35Oct 4, 2021Updated 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
- Robust aggregation for federated learning with the RFA algorithm.☆54Sep 13, 2022Updated 3 years ago
- ☆19Jun 21, 2021Updated 4 years ago
- Code implementation of the paper "Neural Cleanse: Identifying and Mitigating Backdoor Attacks in Neural Networks", at IEEE Security and P…☆315Feb 28, 2020Updated 6 years ago
- reproduce the FLTrust model based on the paper "FLTrust: Byzantine-robust Federated Learning via Trust Bootstrapping"☆35Dec 4, 2022Updated 3 years ago
- CoPur: Certifiably Robust Collaborative Inference via Feature Purification (NeurIPS 2022)☆11Dec 7, 2022Updated 3 years ago
- Wordpress hosting with auto-scaling - Free Trial • AdFully Managed hosting for WordPress and WooCommerce businesses that need reliable, auto-scalable performance. Cloudways SafeUpdates now available.
- ☆13Oct 21, 2021Updated 4 years ago
- [ICLR'21] FedBN: Federated Learning on Non-IID Features via Local Batch Normalization☆273Nov 13, 2025Updated 5 months ago
- Federated Learning Framework Benchmark (UniFed)☆49Jun 14, 2023Updated 2 years ago
- ☆10Oct 31, 2022Updated 3 years ago
- Input-aware Dynamic Backdoor Attack (NeurIPS 2020)☆39Jul 22, 2024Updated last year
- Code for Backdoor Attacks Against Dataset Distillation☆37Apr 19, 2023Updated 2 years 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