2 citations · 3 across the 5 of their papers we have counts for
8 papers
Theory-Guided Instance-Dependent Early Stopping via Second-Order Loss Dynamics
Ahad Bin Islam Shoeb, Jamal Uddin Tanvin, Kamrul Hasan +2
Instance-dependent early stopping (IES) reduces training computation by skipping backpropagation for examples whose losses have stabilized, but the second-order loss-difference cri…
AutoPoly-HE: Autonomous Design of Polynomial Activations for Privacy-Preserving Encrypted Inference
Zeinab Elkhatib, Kamrul Hasan, Ali Sekmen +2
Privacy-preserving machine learning has become critical for deploying artificial intelligence in sensitive domains such as healthcare, finance, and infrastructure monitoring. Homom…
SENTINEL: A Multi-Pathway Architecture for Detecting Living-Off-the-Land APT Attacks on Windows Command Lines
Ahad Bin Islam Shoeb, Kamrul Hasan, Jamal Uddin Tanvin +4
Living-Off-the-Land (LOTL) is the dominant evasion technique of Advanced Persistent Threat (APT) actors, exploiting legitimate Windows utilities to conduct malicious operations wit…
SD-CGAN: Conditional Sinkhorn Divergence GAN for DDoS Anomaly Detection in IoT Networks
Henry Onyeka, Emmanuel Samson, Liang Hong +3
The increasing complexity of IoT edge networks presents significant challenges for anomaly detection, particularly in identifying sophisticated Denial-of-Service (DoS) attacks and…
Advancing Healthcare: Innovative ML Approaches for Improved Medical Imaging in Data-Constrained Environments
Al Amin, Kamrul Hasan, Saleh Zein-Sabatto +4
Healthcare industries face challenges when experiencing rare diseases due to limited samples. Artificial Intelligence (AI) communities overcome this situation to create synthetic d…
Enhancing UAV Security Through Zero Trust Architecture: An Advanced Deep Learning and Explainable AI Analysis
Ekramul Haque, Kamrul Hasan, Imtiaz Ahmed +2
In the dynamic and ever-changing domain of Unmanned Aerial Vehicles (UAVs), the utmost importance lies in guaranteeing resilient and lucid security measures. This study highlights…
Empowering Healthcare through Privacy-Preserving MRI Analysis
Al Amin, Kamrul Hasan, Saleh Zein-Sabatto +4
In the healthcare domain, Magnetic Resonance Imaging (MRI) assumes a pivotal role, as it employs Artificial Intelligence (AI) and Machine Learning (ML) methodologies to extract inv…
An Explainable AI Framework for Artificial Intelligence of Medical Things
Al Amin, Kamrul Hasan, Saleh Zein-Sabatto +3
The healthcare industry has been revolutionized by the convergence of Artificial Intelligence of Medical Things (AIoMT), allowing advanced data-driven solutions to improve healthca…