ReVEAL: GNN-Guided Reverse Engineering for Formal Verification of Optimized Multipliers

This article presents a novel approach, ReVEAL, which leverages Graph Neural Networks (GNNs) to facilitate reverse engineering and formal verification of optimized multipliers. The use of GNNs suggests an attempt to automate or improve the process of understanding and verifying complex hardware designs. The focus on optimized multipliers indicates a practical application with potential impact on performance and security of computing systems. The source, ArXiv, suggests this is a research paper, likely detailing the methodology, experimental results, and comparisons to existing techniques.

• •ReVEAL utilizes GNNs for reverse engineering and formal verification.
• •The focus is on optimized multipliers, suggesting practical application.
• •The research likely details methodology, results, and comparisons.