Can We Trust Machine Learning for Electronic Design Automation?

Machine learning (ML) techniques, especially deep learning (DL), have been playing a vital role in developing electronic design automation (EDA) tools across the chip design flow. DL for EDA demonstrates comparable quality, faster turnaround time, and better generalization than traditional methods. However, DL techniques expose intrinsic vulnerabilities to adversarial perturbation attacks and back...