activity
20172022
most citedHardware Trojan Detection using Graph Neural Networks

8 citations · 9 across the 5 of their papers we have counts for

collaborators

5 papers

cs.CR20228 cited

Hardware Trojan Detection using Graph Neural Networks

Rozhin Yasaei, Luke Chen, Shih-Yuan Yu +1

The globalization of the Integrated Circuit (IC) supply chain has moved most of the design, fabrication, and testing process from a single trusted entity to various untrusted third…

cs.CR2021

Multi-Modal Attack Detection for Cyber-Physical Additive Manufacturing

Shih-Yuan Yu, Arnav Vaibhav Malawade, Mohammad Abdullah Al Faruque

Cyber-Physical Additive Manufacturing (AM) constructs a physical 3D object layer-by-layer according to its digital representation and has been vastly applied to fast prototyping an…

cs.CE2021

Establishing Digital Recognition and Identification of Microscopic Objects for Implementation of Artificial Intelligence (AI) Guided Microassembly

Tuo Zhou, Shih-Yuan Yu, Matthew Michaels +3

s miniaturization of electrical and mechanical components used in modern technology progresses, there is an increasing need for high-throughput and low-cost micro-scale assembly te…

cs.CR20211 cited

GNN4IP: Graph Neural Network for Hardware Intellectual Property Piracy Detection

Rozhin Yasaei, Shih-Yuan Yu, Emad Kasaeyan Naeini +1

Aggressive time-to-market constraints and enormous hardware design and fabrication costs have pushed the semiconductor industry toward hardware Intellectual Properties (IP) core de…

q-bio.QM2017

Machine Learning for Large-Scale Quality Control of 3D Shape Models in Neuroimaging

Dmitry Petrov, Boris A. Gutman, Shih-Hua +72

As very large studies of complex neuroimaging phenotypes become more common, human quality assessment of MRI-derived data remains one of the last major bottlenecks. Few attempts ha…