Improving security of autonomous cyber-physical systems against adversarial examples

• Main Author: Song, Qun
• Other Authors: Tan Rui
• Format: Thesis-Doctor of Philosophy
• Language: English
• Published: Nanyang Technological University 2022
• Subjects: Engineering::Computer science and engineering
• Online Access: https://hdl.handle.net/10356/161165
• Institution: Nanyang Technological University

Deep learning, enabled by the advancements of hardware accelerators, is increasingly employed in cyber-physical systems due to its capabilities in capturing sophisticated patterns from complex physical processes. However, deep learning is shown susceptible to adversarial examples, which are crafted...