A Survey and Perspective on Artificial Intelligence for Security-Aware Electronic Design Automation
David S. Koblah, Rabin Yu Acharya, Daniel E. Capecci, Olivia P. Dizon-Paradis, Shahin Tajik, Fatemeh Ganji, Damon L. Woodard, Domenic Forte
Abstract
Artificial intelligence (AI) and machine learning (ML) techniques have been increasingly used in several fields to improve performance and the level of automation. In recent years, this use has exponentially increased due to the advancement of high-performance computing and the ever increasing size of data. One of such fields is that of hardware design—specifically the design of digital and analog integrated circuits, where AI/ ML techniques have been extensively used to address ever-increasing design complexity, aggressive time to market, and the growing number of ubiquitous interconnected devices. However, the security concerns and issues related to integrated circuit design have been highly overlooked. In this article, we summarize the state-of-the-art in AI/ML for circuit design/optimization, security and engineering challenges, research in security-aware computer-aided design/electronic design automation, and future research directions and needs for using AI/ML for security-aware circuit design.