Security Engineering for Machine Learning
Gary E. McGraw, Richie Bonett, Harold Figueroa, Victor Shepardson · Computer · 2019
Artificial intelligence is in the midst of a popular resurgence in the guise of machine learning (ML). Neural networks and deep learning architectures have been shown empirically to solve many real-world problems. We ask what kinds of risks ML systems pose in terms of security engineering and software security.