6 papers
Understanding the Usability of Cryptographic Verification Tools
Tarikul Islam, Yasin Islam, Khandakar Ashrafi Akbar +1
Cryptographic protocol verification tools are widely used to analyze the security of complex protocols, yet how users interact with these tools remains comparatively understudied.…
FSDAM: Few-Shot Driving Attention Modeling via Vision-Language Coupling
Kaiser Hamid, Can Cui, Khandakar Ashrafi Akbar +2
Understanding not only where drivers look but also why their attention shifts is essential for interpretable human-AI collaboration in autonomous driving. Driver attention is not p…
SPARE: Securing Progressive Web Applications Against Unauthorized Replications
Sajib Talukder, Nur Imtiazul Haque, Khandakar Ashrafi Akbar
WebView applications are widely used in mobile applications to display web content directly within the app, enhancing user engagement by eliminating the need to open an external br…
Transportation Cyber Incident Awareness through Generative AI-Based Incident Analysis and Retrieval-Augmented Question-Answering Systems
Ostonya Thomas, Muhaimin Bin Munir, Jean-Michel Tine +7
Technological advancements have revolutionized numerous industries, including transportation. While digitalization, automation, and connectivity have enhanced safety and efficiency…
Interpretable Modeling of Driver Attention Shifts with a Vision-Language Model
Kaiser Hamid, Khandakar Ashrafi Akbar, Peihang Li +1
Driver gaze is commonly modeled as a spatial heatmap, but heatmaps alone are difficult for humans to interpret because they do not explain which road object or region is being moni…
Retrieval Augmented Generation-based Large Language Models for Bridging Transportation Cybersecurity Legal Knowledge Gaps
Khandakar Ashrafi Akbar, Md Nahiyan Uddin, Latifur Khan +4
As connected and automated transportation systems evolve, there is a growing need for federal and state authorities to revise existing laws and develop new statutes to address emer…