Publications

You can also find my articles on my Google Scholar profile.

JOURNALS

Das, A, & Verma, R. (2020). "Can Machines Tell Stories? A Comprehensive Comparison of Pre-Trained and Fine-Tuned Deep Neural Language Models." IEEE Access [To Appear]
El Aassal, A., Baki, S., Das, A., & Verma, R. M. (2020). "An In-Depth Benchmarking and Evaluation of Phishing Detection Research for Security Needs." IEEE Access.
Das, A., Baki, S., El Aassal, A., Verma, R., & Dunbar, A. (2019). "SoK: A Comprehensive Reexamination of Phishing Research from the Security Perspective." IEEE Communications Surveys & Tutorials.
Karimi, S., Moraes, L., Das, A., Shakery, A., & Verma, R. (2018). "Citance-based retrieval and summarization using IR and machine learning." Scientometrics, 116(2), 1331-1366.
Das, A. & Verma, R. (2020). "Modeling Coherency in Generated Emails by Leveraging Deep Neural Learners." Computacion y Systemas [To Appear]

WORKSHOPS

Zeng, V., El Aassal, A., Baki, S., Verma, R., Moraes, L. & Das, A. (2020). "Diverse Datasets and a Customizable Benchmarking Framework for Phishing." Proceedings of the 5th ACM on International Workshop on Security and Privacy Analytics.
Das, A., & Verma, R. (2019). "Automated email Generation for Targeted Attacks using Natural Language." Workshop TA-COS - 2018 (Co-located with Eleventh International Conference on Language Resources and Evaluation-LREC)
El Aassal, A., Moraes, L., Baki, S., Das, A., & Verma, R. (2018). "Anti-Phishing Pilot at ACM IWSPA 2018: Evaluating Performance with New Metrics for Unbalanced Datasets." Proceedings of the 1st Anti-Phishing Shared Task Pilot at 4th ACM IWSPA co-located with 8th ACM Conference on Data and Application Security and Privacy (CODASPY 2018)
De Moraes, L. F., Das, A., Karimi, S., & Verma, R. M. (2018). "University of Houston@ CL-SciSumm 2018." BIRNDL@ SIGIR (pp. 142-149).
Verma, R., & Das, A. (2017, March). "What's in a URL: Fast feature extraction and malicious URL detection." Proceedings of the 3rd ACM on International Workshop on Security and Privacy Analytics (pp. 55-63).
Karimi, S., Moraes, L. F., Das, A., & Verma, R. M. (2017). "University of Houston@ CL-SciSumm 2017: Positional language Models, Structural Correspondence Learning and Textual Entailment." BIRNDL@ SIGIR (2) (pp. 73-85).