26 citations · 46 across the 4 of their papers we have counts for
4 papers
Replay4NCL: An Efficient Memory Replay-based Methodology for Neuromorphic Continual Learning in Embedded AI Systems
Mishal Fatima Minhas, Rachmad Vidya Wicaksana Putra, Falah Awwad +2
Neuromorphic Continual Learning (NCL) paradigm leverages Spiking Neural Networks (SNNs) to enable continual learning (CL) capabilities for AI systems to adapt to dynamically changi…
Continual Learning with Neuromorphic Computing: Foundations, Methods, and Emerging Applications
Mishal Fatima Minhas, Rachmad Vidya Wicaksana Putra, Falah Awwad +2
The challenging deployment of compute- and memory-intensive methods from Deep Neural Network (DNN)-based Continual Learning (CL) underscores the critical need for a paradigm shift…
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…
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…