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20212025
most citedHybrid Classical-Quantum Deep Learning Models for Autonomous Vehicle Traffic Image Classification Under Adversarial Attack

15 citations · 17 across the 6 of their papers we have counts for

collaborators

6 papers

cs.LG2025

Quantum Computing Supported Adversarial Attack-Resilient Autonomous Vehicle Perception Module for Traffic Sign Classification

Reek Majumder, Mashrur Chowdhury, Sakib Mahmud Khan +6

Deep learning (DL)-based image classification models are essential for autonomous vehicle (AV) perception modules since incorrect categorization might have severe repercussions. Ad…

cs.OH2024

Quantum Annealing-Enhanced Virtual Traffic Lights and its Evaluation Using a Quantum-in-the-Loop Simulation Testbed

Abyad Enan, M Sabbir Salek, Mashrur Chowdhury +3

Virtual Traffic Light (VTL) is a traffic control method that does not require traffic signal-related infrastructure for roadway intersections. Connected vehicles (CVs) are given ri…

cs.AI2024★ 1 cited

Graph-Powered Defense: Controller Area Network Intrusion Detection for Unmanned Aerial Vehicles

Reek Majumder, Gurcan Comert, David Werth +3

The network of services, including delivery, farming, and environmental monitoring, has experienced exponential expansion in the past decade with Unmanned Aerial Vehicles (UAVs). Y…

cs.CR2024★ 1 cited

Robust hardware Trojan detection leveraging dual-domain features and stacked ensemble learning

Sefatun-Noor Puspa, Abyad Enan, Reek Majumdar +3

Cyber-physical systems rely on integrated circuits (ICs), making them vulnerable to hardware Trojans that can remain dormant until triggered, causing functional disruption or infor…

cs.LG2023

Development and Evaluation of Ensemble Learning-based Environmental Methane Detection and Intensity Prediction Models

Reek Majumder, Jacquan Pollard, M Sabbir Salek +6

The environmental impacts of global warming driven by methane (CH4) emissions have catalyzed significant research initiatives in developing novel technologies that enable proactive…

quant-ph2021★ 15 cited

Hybrid Classical-Quantum Deep Learning Models for Autonomous Vehicle Traffic Image Classification Under Adversarial Attack

Reek Majumder, Sakib Mahmud Khan, Fahim Ahmed +6

Image classification must work for autonomous vehicles (AV) operating on public roads, and actions performed based on image misclassification can have serious consequences. Traffic…