| 2026 | AAAI | Guided Perturbation Sensitivity (GPS): Detecting Adversarial Text via Embedding Stability and Word Importance. | Bryan E. Tuck, Rakesh M. Verma |
| 2026 | IDA | LeTMEMo: Leveraging Topic Modeling for Evaluating (Closed-Vocabulary) Models. | Vu Minh Hoang Dang, Rakesh M. Verma |
| 2026 | LREC | Orthographic Constraint Satisfaction and Human Difficulty Alignment in Large Language Models. | Bryan E. Tuck, Rakesh M. Verma |
| 2025 | COLING | Unmasking the Imposters: How Censorship and Domain Adaptation Affect the Detection of Machine-Generated Tweets. | Bryan E. Tuck, Rakesh M. Verma |
| 2025 | IDA | Vocabulary Quality in NLP Datasets: An Autoencoder-Based Framework Across Domains and Languages. | Vu Minh Hoang Dang, Rakesh M. Verma |
| 2025 | SP | An Agent-Based Model for Evaluating Connected and Autonomous Vehicles, Collective Behaviors and Traffic System Performance. | Rajkumar Konka, Rakesh M. Verma, Shun Cao, Yunpeng Zhang |
| 2024 | COLING | Domain-Agnostic Adapter Architecture for Deception Detection: Extensive Evaluations with the DIFrauD Benchmark. | Dainis Boumber, Fatima Zahra Qachfar, Rakesh M. Verma |
| 2024 | DBSEC | All Your LLMs Belong to Us: Experiments with a New Extortion Phishing Dataset. | Fatima Zahra Qachfar, Rakesh M. Verma |
| 2024 | ICISS | Effects of Soft-Domain Transfer and Named Entity Information on Deception Detection. | Steven Triplett, Simon Minami, Rakesh M. Verma |
| 2024 | IDA | Data Quality in NLP: Metrics and a Comprehensive Taxonomy. | Vu Minh Hoang Dang, Rakesh M. Verma |
| 2024 | SDM | Blue Sky: Multilingual, Multimodal Domain Independent Deception Detection. | Dainis Boumber, Rakesh M. Verma, Fatima Zahra Qachfar |
| 2022 | AsiaCCS | Vulnerability Detection via Multimodal Learning: Datasets and Analysis. | Xin Zhou, Rakesh M. Verma |
| 2021 | ECIR | On the Feasibility of Using GANs for Claim Verification- Experiments and Analysis. | Amartya Hatua, Arjun Mukherjee, Rakesh M. Verma |
| 2021 | RANLP | Claim Verification Using a Multi-GAN Based Model. | Amartya Hatua, Arjun Mukherjee, Rakesh M. Verma |
| 2021 | SIGCSE | Capacity Expansion in Cybersecurity: Challenges and Prospects. | Rakesh M. Verma |
| 2021 | SIGCSE | What is the Security Mindset? Can it be Developed? | Rakesh M. Verma, Rangarajan Ray Parthasarathy, Lila Ghemri |
| 2020 | CCS | Scam Augmentation and Customization: Identifying Vulnerable Users and Arming Defenders. | Shahryar Baki, Rakesh M. Verma, Omprakash Gnawali |
| 2020 | CCS | PhishBench 2.0: A Versatile and Extendable Benchmarking Framework for Phishing. | Victor Zeng, Xin Zhou, Shahryar Baki, Rakesh M. Verma |
| 2020 | SIGCSE | Poster: A Modular and Innovative Security Analytics Course. | Rakesh M. Verma |
| 2019 | CCS | Data Quality for Security Challenges: Case Studies of Phishing, Malware and Intrusion Detection Datasets. | Rakesh M. Verma, Victor Zeng, Houtan Faridi |
| 2018 | ICDM | Phishing Email Detection Using Robust NLP Techniques. | Gal Egozi, Rakesh M. Verma |
| 2018 | ICDM | Performance Evaluation of Features and Clustering Algorithms for Malware. | Houtan Faridi, Srivathsan Srinivasagopalan, Rakesh M. Verma |
| 2018 | SIGIR | University of Houston @ CL-SciSumm 2018. | Luis F. T. De Moraes, Avisha Das, Samaneh Karimi, Rakesh M. Verma |
| 2017 | CCS | Scaling and Effectiveness of Email Masquerade Attacks: Exploiting Natural Language Generation. | Shahryar Baki, Rakesh M. Verma, Arjun Mukherjee, Omprakash Gnawali |
| 2017 | EACL | ICE: Idiom and Collocation Extractor for Research and Education. | Vasanthi Vuppuluri, Shahryar Baki, An Nguyen, Rakesh M. Verma |
| 2017 | SIGIR | University of Houston @ CL-SciSumm 2017: Positional language Models, Structural Correspondence Learning and Textual Entailment. | Samaneh Karimi, Luis F. T. Moraes, Avisha Das, Rakesh M. Verma |
| 2016 | CICLING | Mining the Web for Collocations: IR Models of Term Associations. | Rakesh M. Verma, Vasanthi Vuppuluri, An Nguyen, Arjun Mukherjee, Ghita Mammar, Shahryar Baki, Reed Armstrong |
| 2015 | FIE | Topic based segmentation of classroom videos. | Tayfun Tuna, Mahima Joshi, Varun Varghese, Rucha Deshpande, Jaspal Subhlok, Rakesh M. Verma |
| 2015 | RANLP | A New Approach for Idiom Identification Using Meanings and the Web. | Rakesh M. Verma, Vasanthi Vuppuluri |
| 2015 | SECRYPT | Phish-IDetector: Message-Id Based Automatic Phishing Detection. | Rakesh M. Verma, Nirmala Rai |
| 2014 | ICISS | Catching Classical and Hijack-Based Phishing Attacks. | Tanmay Thakur, Rakesh M. Verma |
| 2013 | ICISC | Semantic Feature Selection for Text with Application to Phishing Email Detection. | Rakesh M. Verma, Nabil Hossain |
| 2013 | SECON | Modeling and analysis of LEAP, a key management protocol for wireless sensor networks. | Rakesh M. Verma, Bailey E. Basile |
| 2012 | CICLING | Combining Syntax and Semantics for Automatic Extractive Single-Document Summarization. | Araly Barrera, Rakesh M. Verma |
| 2012 | ESORICS | Detecting Phishing Emails the Natural Language Way. | Rakesh M. Verma, Narasimha K. Shashidhar, Nabil Hossain |
| 2011 | SAC | Automated extractive single-document summarization: beating the baselines with a new approach. | Araly Barrera, Rakesh M. Verma |
| 2010 | SAC | R-LEAP+: randomizing LEAP+ key distribution to resist replay and jamming attacks. | Sam Blackshear, Rakesh M. Verma |
| 2009 | ICISS | Correcting and Improving the NP Proof for Cryptographic Protocol Insecurity. | Zhiyao Liang, Rakesh M. Verma |
| 2008 | FlAIRS | Semantic Analysis of Association Rules. | Ping Chen, Rakesh M. Verma, Janet C. Meininger, Wenyaw Chan |
| 2008 | ICISS | Complexity of Checking Freshness of Cryptographic Protocols. | Zhiyao Liang, Rakesh M. Verma |
| 2008 | SAC | Visualization of rule-based programming. | Wenshan Yu, Rakesh M. Verma |
| 2006 | CBMS | A Query-Based Medical Information Summarization System Using Ontology Knowledge. | Ping Chen, Rakesh M. Verma |
| 2006 | SIGCSE | Automata theory: its relevance to computer science students and course contents. | Michal Armoni, Susan H. Rodger, Moshe Y. Vardi, Rakesh M. Verma |
| 2005 | ITiCSE | A visual and interactive automata theory course emphasizing breadth of automata. | Rakesh M. Verma |
| 2003 | STACS | On the Confluence of Linear Shallow Term Rewrite Systems. | Guillem Godoy, Ashish Tiwari, Rakesh M. Verma |
| 2002 | SIGIR | K-tree/forest: efficient indexes for boolean queries. | Rakesh M. Verma, Sanjiv Behl |
| 2001 | ADC | Efficient declustering techniques for temporal access structures. | Sanjiv Behl, Rakesh M. Verma |
| 2001 | ICLP | Local and Symbolic Bisimulation Using Tabled Constraint Logic Programming. | Samik Basu, Madhavan Mukund, C. R. Ramakrishnan, I. V. Ramakrishnan, Rakesh M. Verma |
| 1998 | CSL | RPO Constraint Solving Is in NP. | Paliath Narendran, Michal Rusinowitch, Rakesh M. Verma |
| 1997 | FCT | Unique Normal Forms for Nonlinear Term Rewriting Systems: Root Overlaps. | Rakesh M. Verma |
| 1995 | IJCAI | Unique Normal Forms and Confluence of Rewrite Systems: Persistence. | Rakesh M. Verma |
| 1993 | ICPP | On Embeddings of Rectangles into Optimal Squares. | Shou-Hsuan Stephen Huang, Hongfei Liu, Rakesh M. Verma |
| 1991 | FOCS | A Theory of Using History for Equational Systems with Applications (Extended Abstract) | Rakesh M. Verma |
| 1990 | ICALP | Nonoblivious Normalization Algorithms for Nonlinear Rewrite Systems. | Rakesh M. Verma, I. V. Ramakrishnan |
| 1989 | STACS | Some Complexity Theoretic Aspects of AC Rewriting. | Rakesh M. Verma, I. V. Ramakrishnan |
| 1988 | CADE | Optimal Time Bounds for Parallel Term Matching. | Rakesh M. Verma, I. V. Ramakrishnan |
| 1987 | ICALP | Term Matching on Parallel Computers. | R. Ramesh, Rakesh M. Verma, Krishnaprasad Thirunarayan, I. V. Ramakrishnan |