☆17Apr 12, 2023Updated 2 years ago
Alternatives and similar repositories for SignGuard
Users that are interested in SignGuard are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Byzantine-robust Federated Learning☆16Sep 21, 2023Updated 2 years ago
- ☆17May 10, 2019Updated 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
- Implementation of BapFL: You can Backdoor Attack Personalized Federated Learning☆15Sep 18, 2023Updated 2 years ago
- ☆41Feb 7, 2024Updated 2 years ago
- ⚔️ Blades: A Unified Benchmark Suite for Attacks and Defenses in Federated Learning☆156Feb 16, 2025Updated last year
- A sybil-resilient distributed learning protocol.☆112Sep 9, 2025Updated 6 months ago
- ☆23Nov 2, 2019Updated 6 years ago
- The source code of the paper "Compressed Federated Learning Based on Adaptive Local Differential Privacy".☆10Oct 23, 2023Updated 2 years ago
- Github Repo for AAAI 2023 paper: On the Vulnerability of Backdoor Defenses for Federated Learning☆41Apr 3, 2023Updated 2 years ago
- Differentially Private Federated Learning: A Client Level Perspective☆12Jul 3, 2019Updated 6 years ago
- Robust aggregation for federated learning with the RFA algorithm.☆54Sep 13, 2022Updated 3 years ago
- [Oakland 2024] Exploring the Orthogonality and Linearity of Backdoor Attacks☆28Apr 15, 2025Updated 11 months ago
- ☆31Oct 10, 2023Updated 2 years ago
- An implementation for the paper "A Little Is Enough: Circumventing Defenses For Distributed Learning" (NeurIPS 2019)☆29Jun 29, 2023Updated 2 years ago
- The project aims to evaluate the vulnerability of Federated Learning systems to targeted data poisoning attack known as Label Flipping At…☆22Jan 5, 2022Updated 4 years ago
- FedGH: Heterogeneous Federated Learning with Generalized Global Header (MM'23)☆16Aug 6, 2023Updated 2 years ago
- CoPur: Certifiably Robust Collaborative Inference via Feature Purification (NeurIPS 2022)☆11Dec 7, 2022Updated 3 years ago
- ☆38Feb 7, 2024Updated 2 years ago
- The source code of the paper "Efficient Privacy-Preserving Federated Learning with Compressed Sensing"☆22May 23, 2024Updated last year
- Unofficial implementation of the algorithm described in the paper Federated Collaborative Filtering for Privacy-Preserving Personalized R…☆22Oct 29, 2021Updated 4 years ago
- ☆14Oct 12, 2024Updated last year
- Implementing the algorithm from our paper: "A Reputation Mechanism Is All You Need: Collaborative Fairness and Adversarial Robustness in …☆39May 28, 2024Updated last year
- Q-RR, DIANA-RR, Q-NASTYA, NASTYA-DIANA, QSGD, DIANA, FedCOM and FedPAQ on logistic loss with L2 regularization☆11Nov 1, 2022Updated 3 years ago
- This is an official implementation for the ICLR2023 paper "The Best of Both Worlds: Accurate Global and Personalized Models through Feder…☆22Mar 4, 2025Updated last year
- Chain-PPFL: A Privacy-Preserving Federated Learning Framework based on Chained SMC☆37Jul 16, 2020Updated 5 years ago
- Sends event camera data from A to B. Supports live cameras and dead recordings☆23Feb 17, 2026Updated last month
- [NeurIPS 2024] Federated Learning from Vision-Language Foundation Models: Theoretical Analysis and Method☆13Oct 1, 2024Updated last year
- Associated codebase for Byzantine-resilient distributed / decentralized machine learning papers from INSPIRE Lab☆15Oct 11, 2021Updated 4 years ago
- ☆73Jun 7, 2022Updated 3 years ago
- IBA: Towards Irreversible Backdoor Attacks in Federated Learning (Poster at NeurIPS 2023)☆40Sep 10, 2025Updated 6 months ago
- KNN Defense Against Clean Label Poisoning Attacks☆13Sep 24, 2021Updated 4 years ago
- System Support for Byzantine Machine Learning☆10Oct 4, 2021Updated 4 years ago
- ☆25Nov 13, 2025Updated 4 months ago
- Backdoor Stuff in AI/ ML domain☆35Mar 7, 2026Updated 2 weeks ago
- Code for NDSS 2021 Paper "Manipulating the Byzantine: Optimizing Model Poisoning Attacks and Defenses Against Federated Learning"☆151Aug 6, 2022Updated 3 years ago
- ☆13Dec 8, 2022Updated 3 years ago
- ☆18Oct 6, 2024Updated last year
- PyTorch implementation of Fast-Convergent Federated Learning via Cyclic Aggregation, including FedAvg, FedProx, MOON, and FedRS☆15Jun 28, 2023Updated 2 years ago