A practical approach to evaluating the adversarial distance for machine learning classifiers

Bibliographic information

Title:  A practical approach to evaluating the adversarial distance for machine learning classifiers. 

Written by:  G. Siedel, E. Gupta, A. Morozov

in: Proceedings of the ASME 2024 International Mechanical Engineering Congress and Exposition IMECE2024, November 17-21, 2024, Portland, OR New York:  The American Society of Mechanical Engineers, 2024.  pages: 1-9, Project number: F 2497

Further Information

Research Project

Project numberF 2497 StatusCompleted Project Safety-related risk assessment of a cyber-physical model system for industry 4.0 applications

To the Project

Research completed