Abstract
Abstract This article proposes a design for a real-time Trojan detection system and explores possible solutions to the challenge of large-scale SEM image acquisition. One such solution, a deep-learning approach that generates synthetic micrographs from layout images, shows significant promise. Learning-based approaches are also used to both synthesize and classify cells. The classification outcome is matched with the design exchange format file entry to ensure the purity of the underlying IC.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.