26 citations · 50 across the 9 of their papers we have counts for
4 papers · 1 filter
2L-3W: 2-Level 3-Way Hardware-Software Co-Verification for the Mapping of Deep Learning Architecture (DLA) onto FPGA Boards
Tolulope A. Odetola, Katie M. Groves, Syed Rafay Hasan
FPGAs have become a popular choice for deploying deep learning architectures (DLA). There are many researchers that have explored the deployment and mapping of DLA on FPGA. However…
A Scalable Multilabel Classification to Deploy Deep Learning Architectures For Edge Devices
Tolulope A. Odetola, Ogheneuriri Oderhohwo, Syed Rafay Hasan
Convolution Neural Networks (CNN) have performed well in many applications such as object detection, pattern recognition, video surveillance and so on. CNN carryout feature extract…
A Stealthy Hardware Trojan Exploiting the Architectural Vulnerability of Deep Learning Architectures: Input Interception Attack (IIA)
Tolulope A. Odetola, Hawzhin Raoof Mohammed, Syed Rafay Hasan
Deep learning architectures (DLA) have shown impressive performance in computer vision, natural language processing and so on. Many DLA make use of cloud computing to achieve class…
SIMCom: Statistical Sniffing of Inter-Module Communications for Run-time Hardware Trojan Detection
Faiq Khalid, Syed Rafay Hasan, Osman Hasan +1
Timely detection of Hardware Trojans (HTs) has become a major challenge for secure integrated circuits. We present a run-time methodology for HT detection that employs a multi-para…