Improving security of autonomous cyber-physical systems against adversarial examples

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...

Full description

Saved in:
Bibliographic Details
Main Author: Song, Qun
Other Authors: Tan Rui
Format: Thesis-Doctor of Philosophy
Language:English
Published: Nanyang Technological University 2022
Subjects:
Online Access:https://hdl.handle.net/10356/161165
Tags: Add Tag
No Tags, Be the first to tag this record!
Institution: Nanyang Technological University
Language: English