A substantial part of the Integrated Circuit (IC) supply chain that involves semiconductor
fabrication, packaging, and testing has shifted globally to minimize IC costs and satisfy …

Hardware-based attacks on the semiconductor supply chain are emerging due to the
globalization of the design flow. Logic locking is a design-for-trust scheme that promises …

This work introduces a generic, machine learning (ML)-based platform for functional reverse
engineering (RE) of circuits. Our proposed platform GNN-RE leverages the notion of graph …

Logic locking has received considerable interest as a prominent technique for protecting the
design intellectual property from untrusted entities, especially the foundry. Recently …

Graph neural networks (GNNs) have pushed the state-of-the-art (SOTA) for performance in
learning and predicting on large-scale data present in social networks, biology, etc. Since …

Process variations and device aging impose profound challenges for circuit designers.
Without a precise understanding of the impact of variations on the delay of circuit paths …

Graph neural networks (GNNs) have attracted increasing attention due to their superior
performance in deep learning on graph-structured data. GNNs have succeeded across …

Graph neural networks (GNNs) have shown great success in detecting intellectual property
(IP) piracy and hardware Trojans (HTs). However, the machine learning community has …

The globalization of the Integrated Circuit (IC) market is attracting an ever-growing number
of partners, while remarkably lengthening the supply chain. Thereby, security concerns …

We propose TrojanSAINT, a graph neural network (GNN)-based hardware Trojan (HT)
detection scheme working at the gate level. Unlike prior GNN-based art, TrojanSAINT …