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Estimating the Circuit Deobfuscating Runtime based on Graph Deep
  Learning
v1v2 (latest)

Estimating the Circuit Deobfuscating Runtime based on Graph Deep Learning

14 February 2019
Zhiqian Chen
Gaurav Kolhe
S. Rafatirad
Sai Manoj P D
Houman Homayoun
Liang Zhao
Chang-Tien Lu
    AAML
ArXiv (abs)PDFHTML

Papers citing "Estimating the Circuit Deobfuscating Runtime based on Graph Deep Learning"

6 / 6 papers shown
Title
Graph Neural Networks: A Powerful and Versatile Tool for Advancing
  Design, Reliability, and Security of ICs
Graph Neural Networks: A Powerful and Versatile Tool for Advancing Design, Reliability, and Security of ICs
Lilas Alrahis
J. Knechtel
Ozgur Sinanoglu
GNNAI4CE
78
24
0
29 Nov 2022
Reverse Engineering of Integrated Circuits: Tools and Techniques
Reverse Engineering of Integrated Circuits: Tools and Techniques
Abhijitt Dhavlle
54
4
0
18 Aug 2022
Embracing Graph Neural Networks for Hardware Security (Invited Paper)
Embracing Graph Neural Networks for Hardware Security (Invited Paper)
Lilas Alrahis
Satwik Patnaik
Mohamed Bennai
Ozgur Sinanoglu
53
16
0
17 Aug 2022
Design of secure and robust cognitive system for malware detection
Design of secure and robust cognitive system for malware detection
Sanket Shukla
AAML
51
2
0
03 Aug 2022
A Survey and Perspective on Artificial Intelligence for Security-Aware
  Electronic Design Automation
A Survey and Perspective on Artificial Intelligence for Security-Aware Electronic Design Automation
D. Koblah
R. Acharya
Daniel Capecci
Olivia P. Dizon-Paradis
Shahin Tajik
F. Ganji
D. Woodard
Domenic Forte
59
12
0
19 Apr 2022
Logic Locking at the Frontiers of Machine Learning: A Survey on
  Developments and Opportunities
Logic Locking at the Frontiers of Machine Learning: A Survey on Developments and Opportunities
Dominik Sisejkovic
Lennart M. Reimann
Elmira Moussavi
Farhad Merchant
Rainer Leupers
AAML
118
13
0
05 Jul 2021
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