MUSKETEER D5.1 Threat analysis for federated machine learning algorithms

Luis Muñoz-González
2019 Zenodo  
A report describing the main threats and vulnerabilities that may be present in federated machine learning algorithms considering both, attacks at training and test time and defining requirements for the design, deployment and testing of federated machine learning algorithms. It also contains the analysis of the threats across the different Privacy Operation Modes (POMs) to be implemented for MUSKETEER platform. This report would also form a strong basis from which governance and or legislative input could be drawn.
doi:10.5281/zenodo.4736943 fatcat:2zealgae7rhsjecbg4q4vnb72i