Overview
Explore a cutting-edge IEEE conference talk that delves into LOKI, a large-scale data reconstruction attack targeting federated learning systems through model manipulation. Gain insights into the vulnerabilities of federated learning and understand the potential risks associated with this novel attack method. Learn about the implications for data privacy and security in distributed machine learning environments.
Syllabus
2024 124 LOKI Large scale Data Reconstruction Attack against Federated Learning through Model Manipu
Taught by
IEEE Symposium on Security and Privacy