A Survey and Perspective on Artificial Intelligence for Security-Aware Electronic Design Automation

no code implementations • 19 Apr 2022 • David Selasi Koblah, Rabin Yu Acharya, Daniel Capecci, Olivia P. Dizon-Paradis, Shahin Tajik, Fatemeh Ganji, Damon L. Woodard, Domenic Forte

Artificial intelligence (AI) and machine learning (ML) techniques have been increasingly used in several fields to improve performance and the level of automation.

Histogram-based Auto Segmentation: A Novel Approach to Segmenting Integrated Circuit Structures from SEM Images

no code implementations • 28 Apr 2020 • Ronald Wilson, Navid Asadizanjani, Domenic Forte, Damon L. Woodard

In this paper, we introduce an algorithm to segment out Integrated Circuit (IC) structures from the SEM image.

Attack of the Genes: Finding Keys and Parameters of Locked Analog ICs Using Genetic Algorithm

no code implementations • 31 Mar 2020 • Rabin Yu Acharya, Sreeja Chowdhury, Fatemeh Ganji, Domenic Forte

We also discuss how the GA attack can generalize to other recent analog locking techniques not tested in the paper

Hardware Trust and Assurance through Reverse Engineering: A Survey and Outlook from Image Analysis and Machine Learning Perspectives

no code implementations • 11 Feb 2020 • Ulbert J. Botero, Ronald Wilson, Hangwei Lu, Mir Tanjidur Rahman, Mukhil A. Mallaiyan, Fatemeh Ganji, Navid Asadizanjani, Mark M. Tehranipoor, Damon L. Woodard, Domenic Forte

In the context of hardware trust and assurance, reverse engineering has been often considered as an illegal action.

EOP: An Encryption-Obfuscation Solution for Protecting PCBs Against Tampering and Reverse Engineering

no code implementations • 20 Apr 2019 • Zimu Guo, Xiaolin Xu, Mark M. Tehranipoor, Domenic Forte

These modules guarantee the stream cipher is correctly synchronized and free from tampering.

Cryptography and Security