8 citations · 9 across the 3 of their papers we have counts for
3 papers
TrojanSAINT: Gate-Level Netlist Sampling-Based Inductive Learning for Hardware Trojan Detection
Hazem Lashen, Lilas Alrahis, Johann Knechtel +1
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 enables both pre…
Artificial Intelligence for Scientific Research: Authentic Research Education Framework
Sergey V Samsonau, Aziza Kurbonova, Lu Jiang +7
We report a framework that enables the wide adoption of authentic research educational methodology at various schools by addressing common barriers. The guiding principles we prese…
Multi-Label Generalized Zero Shot Learning for the Classification of Disease in Chest Radiographs
Nasir Hayat, Hazem Lashen, Farah E. Shamout
Despite the success of deep neural networks in chest X-ray (CXR) diagnosis, supervised learning only allows the prediction of disease classes that were seen during training. At inf…