26 citations · 80 across the 14 of their papers we have counts for
3 papers · 1 filter
MacLeR: Machine Learning-based Run-Time Hardware Trojan Detection in Resource-Constrained IoT Edge Devices
Faiq Khalid, Syed Rafay Hasan, Sara Zia +3
Traditional learning-based approaches for run-time Hardware Trojan detection require complex and expensive on-chip data acquisition frameworks and thus incur high area and power ov…
Collaborative Pipeline Using Opportunistic Mobile Resources via D2D for Computation-Intensive Tasks
Terry N. Guo, Hawzhin Mohammed, Syed R. Hasan
This paper proposes a mobile pipeline computing concept in a Device-to-Device (D2D) communication setup and studies related issues, where D2D is likely based on millimeter-wave (mm…
How Secure is Distributed Convolutional Neural Network on IoT Edge Devices?
Hawzhin Mohammed, Tolulope A. Odetola, Syed Rafay Hasan
Convolutional Neural Networks (CNN) has found successful adoption in many applications. The deployment of CNN on resource-constrained edge devices have proved challenging. CNN dist…