An automated approach for improving the inference latency and energy efficiency of pretrained CNNs by removing irrelevant pixels with focused convolutions. - Caleb Tung; Nicholas Eliopoulos; Purvish Jajal; Gowri Ramshankar; Chen-Yung Yang; Nicholas Synovic; Xuecen Zhang; Vipin Chaudhary; George K. Thiruvathukal; Yung-Hsiang Lu (CoRR, 2023)

An automated approach for improving the inference latency and energy efficiency of pretrained CNNs by removing irrelevant pixels with focused convolutions. - Caleb Tung; Nicholas Eliopoulos; Purvish Jajal; Gowri Ramshankar; Cheng-Yun Yang; Nicholas Synovic; Xuecen Zhang; Vipin Chaudhary; George K. Thiruvathukal; Yung-Hsiang Lu (ASPDAC, 2024)

Securing Deep Neural Networks on Edge from Membership Inference Attacks Using Trusted Execution Environments. - Cheng-Yun Yang; Gowri Ramshankar; Nicholas Eliopoulos; Purvish Jajal; Sudarshan Nambiar; Evan Miller; Xun Zhang; Dave (Jing) Tian; Shuo-Han Chen; Chiy-Ferng Perng; Yung-Hsiang Lu (ISLPED, 2024)