Code for Data Poisoning Attacks Against Federated Learning Systems
☆206Jun 13, 2021Updated 4 years ago
Alternatives and similar repositories for DataPoisoning_FL
Users that are interested in DataPoisoning_FL are comparing it to the libraries listed below
Sorting:
- DBA: Distributed Backdoor Attacks against Federated Learning (ICLR 2020)☆202Aug 5, 2021Updated 4 years ago
- Source code for paper "How to Backdoor Federated Learning" (https://arxiv.org/abs/1807.00459)☆314Jul 25, 2024Updated last year
- This is the code for our paper `Robust Federated Learning with Attack-Adaptive Aggregation' accepted by FTL-IJCAI'21.☆46Jun 12, 2023Updated 2 years ago
- ☆31Apr 8, 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
- Code for NDSS 2021 Paper "Manipulating the Byzantine: Optimizing Model Poisoning Attacks and Defenses Against Federated Learning"☆148Aug 6, 2022Updated 3 years ago
- Code for "Analyzing Federated Learning through an Adversarial Lens" https://arxiv.org/abs/1811.12470☆152Oct 3, 2022Updated 3 years ago
- ⚔️ Blades: A Unified Benchmark Suite for Attacks and Defenses in Federated Learning☆156Feb 16, 2025Updated last year
- Algorithms to recover input data from their gradient signal through a neural network☆314Apr 14, 2023Updated 2 years ago
- [Preprint] Backdoor Attacks on Federated Learning with Lottery Ticket Hypothesis☆10Sep 23, 2021Updated 4 years ago
- Adversarial attacks and defenses against federated learning.☆20May 24, 2023Updated 2 years ago