Camouflaged circuit evaluations based on graph neural network
Chip security has become an area that needs to be focused on in today's industry because it is a huge challenge to patents and will bring huge harm to the interests of chip design companies. This project is based on the optimization of the process in Dr. Ho Weng Geng's SAT TOOL. Before...
Saved in:
Main Author: | Zhang, Yifan |
---|---|
Other Authors: | Gwee Bah Hwee |
Format: | Thesis-Master by Coursework |
Language: | English |
Published: |
Nanyang Technological University
2023
|
Subjects: | |
Online Access: | https://hdl.handle.net/10356/164944 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Institution: | Nanyang Technological University |
Language: | English |
Similar Items
-
Circuit analysis for camouflage netlists
by: Liu, YuCong
Published: (2021) -
Design automation for camouflage circuits
by: Ng, Chuan Seng
Published: (2020) -
Analog circuits for VLSI neural networks
by: Lee, See Taur.
Published: (2009) -
Contrastive learning for heterogeneous graph neural networks
by: Dong, Renzhi
Published: (2023) -
Learning a mixture of graph neural networks
by: Lai, Yu-Shiang
Published: (2023)