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ORCIDKhandakar Ashrafi Akbar
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2020 – today
- 2025
[c9]Arnav Nishith Sharma
, Khandakar Ashrafi Akbar, Bhavani Thuraisingham, Latifur Khan:
Enhancing Security Insights with KnowGen-RAG: Combining Knowledge Graphs, LLMs, and Multimodal Interpretability. IWSPA@CODASPY 2025: 2-12- [c8]Bhavani Thuraisingham, Khandakar Ashrafi Akbar:
Trustworthy and Secure Artificial Intelligence for Transportation Systems Security and Resiliency. SAT-CPS@CODASPY 2025: 1-2 - [i5]Khandakar Ashrafi Akbar, Md Nahiyan Uddin, Latifur Khan, Trayce Hockstad, Mizanur Rahman, Mashrur Chowdhury, Bhavani Thuraisingham:
Retrieval Augmented Generation-based Large Language Models for Bridging Transportation Cybersecurity Legal Knowledge Gaps. CoRR abs/2505.18426 (2025) - [i4]Ostonya Thomas, Muhaimin Bin Munir, Jean Michel Tine, Mizanur Rahman, Yuchen Cai, Khandakar Ashrafi Akbar, Md Nahiyan Uddin, Latifur Khan, Trayce Hockstad, Mashrur Chowdhury:
Transportation Cyber Incident Awareness through Generative AI-Based Incident Analysis and Retrieval-Augmented Question-Answering Systems. CoRR abs/2508.02523 (2025) - [i3]Kaiser Hamid, Khandakar Ashrafi Akbar, Nade Liang:
VISTA: Vision-Language Imitation of Situational Thinking and Attention for Human-Like Driver Focus in Dynamic Environments. CoRR abs/2508.05852 (2025) - [i2]Sajib Talukder, Nur Imtiazul Haque, Khandakar Ashrafi Akbar:
SPARE: Securing Progressive Web Applications Against Unauthorized Replications. CoRR abs/2508.07053 (2025) - [i1]Kaiser Hamid, Can Cui, Khandakar Ashrafi Akbar, Ziran Wang, Nade Liang:
FSDAM: Few-Shot Driving Attention Modeling via Vision-Language Coupling. CoRR abs/2511.12708 (2025) - 2024
- [c7]Saquib Irtiza, Khandakar Ashrafi Akbar, Arowa Yasmeen, Latifur Khan, Ovidiu Daescu, Bhavani Thuraisingham:
LLM-Sentry: A Model-Agnostic Human-in-the-Loop Framework for Securing Large Language Models. TPS-ISA 2024: 245-254 - 2023
- [j2]Khandakar Ashrafi Akbar, Yigong Wang, Gbadebo Ayoade, Yang Gao, Anoop Singhal, Latifur Khan, Bhavani Thuraisingham, Kangkook Jee:
Advanced Persistent Threat Detection Using Data Provenance and Metric Learning. IEEE Trans. Dependable Secur. Comput. 20(5): 3957-3969 (2023) - [c6]Khandakar Ashrafi Akbar, Sadaf Md. Halim, Anoop Singhal, Basel Abdeen, Latifur Khan, Bhavani Thuraisingham:
The Design of an Ontology for ATT&CK and its Application to Cybersecurity. CODASPY 2023: 295-297 - [c5]Khandakar Ashrafi Akbar, Fariha Ishrat Rahman, Anoop Singhal, Latifur Khan, Bhavani Thuraisingham:
The Design and Application of a Unified Ontology for Cyber Security. ICISS 2023: 23-41 - 2022
- [c4]Khandakar Ashrafi Akbar, Sadaf Md. Halim, Yibo Hu, Anoop Singhal, Latifur Khan, Bhavani Thuraisingham:
Knowledge Mining in Cybersecurity: From Attack to Defense. DBSec 2022: 110-122 - 2021
- [c3]Khandakar Ashrafi Akbar, Yigong Wang, Md Shihabul Islam, Anoop Singhal, Latifur Khan, Bhavani Thuraisingham:
Identifying Tactics of Advanced Persistent Threats with Limited Attack Traces. ICISS 2021: 3-25 - 2020
- [c2]Gbadebo Ayoade, Khandakar Ashrafi Akbar, Pracheta Sahoo, Yang Gao, Anmol Agarwal, Kangkook Jee, Latifur Khan, Anoop Singhal:
Evolving Advanced Persistent Threat Detection using Provenance Graph and Metric Learning. CNS 2020: 1-9
2010 – 2019
- 2019
- [j1]Nusrat Jahan Mozumder, Maitraye Das, Tanzima Hashem, Sharmin Afrose, Khandakar Ashrafi Akbar:
Towards Privacy-preserving Authenticated Disease Risk Queries. J. Inf. Process. 27: 624-642 (2019) - 2018
- [c1]Maitraye Das, Nusrat Jahan Mozumder, Sharmin Afrose, Khandakar Ashrafi Akbar, Tanzima Hashem:
A Novel Secret Sharing Approach for Privacy-Preserving Authenticated Disease Risk Queries in Genomic Databases. COMPSAC (1) 2018: 645-654
Coauthor Index
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