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TRACE – Trusted Reconstruction and Analysis of Circuit Elements

Project ID:

P2_25B

Principal Investigator:

Dr. Mircea R. Stan

Co-Principal Investigator(s):

N/A

Topic Areas:

Netlist analysis using AI/LLM

 
 
Abstract
 

This white paper addresses the latest (March 2025) CHEST IAB requests on “Netlist analysis using AI/LLM.” Third-party intellectual property (IP) blocks are ubiquitous in modern system-on-chip (SoC) and ASIC designs. These IPs, however, are often obfuscated through encryption, black-boxing, and logic locking, which makes security verification challenging. This proposal presents an approach that leverages artificial intelligence (AI) and large language models (LLMs) to analyze netlists, infer functionality, and detect security vulnerabilities, even in obfuscated third-party IP.

Contact us now for a CHEST Overview and membership informational briefing.

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