GNN-Based Pre-Silicon Power Side-Channel Analysis Framework At RTL Level


A technical paper titled “SCAR: Power Side-Channel Analysis at RTL-Level” was published by researchers at University of Texas at Dallas, Technology Innovation Institute and University of Illinois Chicago. Abstract: "Power side-channel attacks exploit the dynamic power consumption of cryptographic operations to leak sensitive information of encryption hardware. Therefore, it is necessary t... » read more

Circuit Layout-Level Hardware Trojan Detection


A new technical paper titled "A Needle in the Haystack: Inspecting Circuit Layout to Identify Hardware Trojans" was published by researchers at The University of Texas at Dallas and Qualcomm. Abstract "Distributed integrated circuit (IC) supply chain has resulted in a myriad of security vulnerabilities including that of hardware Trojan (HT). An HT can perform malicious modifications on an I... » read more

Learning The AMS Circuit Representation From Layout Positions (UT Austin/ NVIDIA)


A recent technical paper titled "TAG: Learning Circuit Spatial Embedding From Layouts" was published by researchers at UT Austin and NVIDIA. Abstract "Analog and mixed-signal (AMS) circuit designs still rely on human design expertise. Machine learning has been assisting circuit design automation by replacing human experience with artificial intelligence. This paper presents TAG, a new parad... » read more