2 citations · 7 across the 10 of their papers we have counts for
11 papers
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…
SoK: The Next Frontier in AV Security: Systematizing Perception Attacks and the Emerging Threat of Multi-Sensor Fusion
Shahriar Rahman Khan, Tariqul Islam, Raiful Hasan
Autonomous vehicles (AVs) increasingly rely on multi-sensor perception pipelines that combine data from cameras, lidar, radar, and other modalities to interpret the environment. Th…
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…
Characterizing Event-themed Malicious Web Campaigns: A Case Study on War-themed Websites
Maraz Mia, Mir Mehedi A. Pritom, Tariqul Islam +1
Cybercrimes such as online scams and fraud have become prevalent. Cybercriminals often abuse various global or regional events as themes of their fraudulent activities to breach us…
Visually Analyze SHAP Plots to Diagnose Misclassifications in ML-based Intrusion Detection
Maraz Mia, Mir Mehedi A. Pritom, Tariqul Islam +1
Intrusion detection has been a commonly adopted detective security measures to safeguard systems and networks from various threats. A robust intrusion detection system (IDS) can es…
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…
Securing Proof of Stake Blockchains: Leveraging Multi-Agent Reinforcement Learning for Detecting and Mitigating Malicious Nodes
Faisal Haque Bappy, Tariqul Islam, Kamrul Hasan +2
Proof of Stake (PoS) blockchains offer promising alternatives to traditional Proof of Work (PoW) systems, providing scalability and energy efficiency. However, blockchains operate…
Impact of Conflicting Transactions in Blockchain: Detecting and Mitigating Potential Attacks
Faisal Haque Bappy, Tariqul Islam, Kamrul Hasan +2
Conflicting transactions within blockchain networks not only pose performance challenges but also introduce security vulnerabilities, potentially facilitating malicious attacks. In…
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…