52 citations · 584 across the 43 of their papers we have counts for
8 papers · 1 filter
Graph Neural Networks: A Powerful and Versatile Tool for Advancing Design, Reliability, and Security of ICs
Lilas Alrahis, Johann Knechtel, Ozgur Sinanoglu
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…
X-Volt: Joint Tuning of Driver Strengths and Supply Voltages Against Power Side-Channel Attacks
Saideep Sreekumar, Mohammed Ashraf, Mohammed Nabeel +2
Power side-channel (PSC) attacks are well-known threats to sensitive hardware like advanced encryption standard (AES) crypto cores. Given the significant impact of supply voltages…
Security Closure of IC Layouts Against Hardware Trojans
Fangzhou Wang, Qijing Wang, Bangqi Fu +7
Due to cost benefits, supply chains of integrated circuits (ICs) are largely outsourced nowadays. However, passing ICs through various third-party providers gives rise to many thre…
Hardware Trojan Threats to Cache Coherence in Modern 2.5D Chiplet Systems
Gino A. Chacon, Charles Williams, Johann Knechtel +2
As industry moves toward chiplet-based designs, the insertion of hardware Trojans poses a significant threat to the security of these systems. These systems rely heavily on cache c…
AppGNN: Approximation-Aware Functional Reverse Engineering using Graph Neural Networks
Tim Bucher, Lilas Alrahis, Guilherme Paim +3
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,…
Embracing Graph Neural Networks for Hardware Security (Invited Paper)
Lilas Alrahis, Satwik Patnaik, Muhammad Shafique +1
Graph neural networks (GNNs) have attracted increasing attention due to their superior performance in deep learning on graph-structured data. GNNs have succeeded across various dom…