26 citations · 80 across the 14 of their papers we have counts for
6 papers · 1 filter
FeSHI: Feature Map Based Stealthy Hardware Intrinsic Attack
Tolulope Odetola, Faiq Khalid, Travis Sandefur +2
To reduce the time-to-market and access to state-of-the-art techniques, CNN hardware mapping and deployment on embedded accelerators are often outsourced to untrusted third parties…
SoWaF: Shuffling of Weights and Feature Maps: A Novel Hardware Intrinsic Attack (HIA) on Convolutional Neural Network (CNN)
Tolulope A. Odetola, Syed Rafay Hasan
Security of inference phase deployment of Convolutional neural network (CNN) into resource constrained embedded systems (e.g. low end FPGAs) is a growing research area. Using secur…
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…
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…
Load Control and Privacy-Preserving Scheme for Data Collection in AMI Networks
Hawzhin Mohammed, Syed Rafay Hasan, Mohammad Ashiqur Rahman
In Advanced Metering Infrastructure (AMI) systems, smart meters (SM) send fine-grained power consumption information to the utility company, yet this power consumption information…