Rakesh M. Verma

ORCID

Publication Activity (10 Years)

Years Active: 1986-2024
Publications (10 Years): 81

Top Venues

Publications

Rakesh M. Verma, Nachum Dershowitz
The Pitfalls of Publishing in the Age of LLMs: Strange and Surprising Adventures with a High-Impact NLP Journal. CoRR (2024)
Fatima Zahra Qachfar, Rakesh M. Verma
Homograph Attacks on Maghreb Sentiment Analyzers. CoRR (2024)
Fatima Zahra Qachfar, Bryan Tuck, Rakesh M. Verma
DetectiveReDASers at HSD-2Lang 2024: A New Pooling Strategy with Cross-lingual Augmentation and Ensembling for Hate Speech Detection in Low-resource Languages. CASE (2024)
Casey Hanks, Shanina Ko, Emily Nguyen, Rakesh M. Verma
Domain Independent Deception Detection: Feature Sets, LIWC Efficacy, and Synthetic Data Challenges. IWSPA@CODASPY (2024)
Vu Minh Hoang Dang, Rakesh M. Verma
Data Quality in NLP: Metrics and a Comprehensive Taxonomy. IDA (1) (2024)
Fatima Zahra Qachfar, Rakesh M. Verma
All Your LLMs Belong to Us: Experiments with a New Extortion Phishing Dataset. DBSec (2024)
Dainis Boumber, Rakesh M. Verma, Fatima Zahra Qachfar
Blue Sky: Multilingual, Multimodal Domain Independent Deception Detection. SDM (2024)
Dainis Boumber, Rakesh M. Verma, Fatima Zahra Qachfar
A Roadmap for Multilingual, Multimodal Domain Independent Deception Detection. CoRR (2024)
Dainis Boumber, Fatima Zahra Qachfar, Rakesh M. Verma
Domain-Agnostic Adapter Architecture for Deception Detection: Extensive Evaluations with the DIFrauD Benchmark. LREC/COLING (2024)
Rakesh M. Verma, Nachum Dershowitz, Victor Zeng, Dainis Boumber, Xuting Liu
Domain-Independent Deception: A New Taxonomy and Linguistic Analysis. CoRR (2024)
Bryan E. Tuck, Rakesh M. Verma
Unmasking the Imposters: In-Domain Detection of Human vs. Machine-Generated Tweets. CoRR (2024)
Dainis Boumber, Bryan E. Tuck, Rakesh M. Verma, Fatima Zahra Qachfar
LLMs for Explainable Few-shot Deception Detection. IWSPA@CODASPY (2024)
Fatima Zahra Qachfar, Rakesh M. Verma
ReDASPersuasion at SemEval-2023 Task 3: Persuasion Detection using Multilingual Transformers and Language Agnostic Features. SemEval@ACL (2023)
Fatima Zahra Qachfar, Rakesh M. Verma
ReDASPersuasion at ArAIEval Shared Task: Multilingual and Monolingual Models For Arabic Persuasion Detection. ArabicNLP (2023)
Samaneh Karimi, Azadeh Shakery, Rakesh M. Verma
Enhancement of Twitter event detection using news streams. Nat. Lang. Eng. 29 (2) (2023)
Shahryar Baki, Rakesh M. Verma
Sixteen Years of Phishing User Studies: What Have We Learned? IEEE Trans. Dependable Secur. Comput. 20 (2) (2023)
Nachum Dershowitz, Rakesh M. Verma
Rebutting Rebuttals. Commun. ACM 66 (9) (2023)
Parisa Mehdi Gholampour, Rakesh M. Verma
Adversarial Robustness of Phishing Email Detection Models. IWSPA@CODASPY (2023)
Rakesh M. Verma, Nachum Dershowitz, Victor Zeng, Xuting Liu
Domain-Independent Deception: Definition, Taxonomy and the Linguistic Cues Debate. CoRR (2022)
Casey Hanks, Rakesh M. Verma
Data Quality and Linguistic Cues for Domain-independent Deception Detection. BDCAT (2022)
Xin Zhou, Rakesh M. Verma
Software Vulnerability Detection via Multimodal Deep Learning. STM (2022)
Xin Zhou, Rakesh M. Verma
Vulnerability Detection via Multimodal Learning: Datasets and Analysis. AsiaCCS (2022)
Fatima Zahra Qachfar, Rakesh M. Verma, Arjun Mukherjee
Leveraging Synthetic Data and PU Learning For Phishing Email Detection. CODASPY (2022)
Victor Zeng, Xuting Liu, Rakesh M. Verma
Does Deception Leave a Content Independent Stylistic Trace? CODASPY (2022)
Amartya Hatua, Arjun Mukherjee, Rakesh M. Verma
Claim Verification Using a Multi-GAN Based Model. RANLP (2021)
Samaneh Karimi, Azadeh Shakery, Rakesh M. Verma
Online news media website ranking using user-generated content. J. Inf. Sci. 47 (3) (2021)
Rakesh M. Verma, Rangarajan Ray Parthasarathy, Lila Ghemri
What is the Security Mindset? Can it be Developed? SIGCSE (2021)
Amartya Hatua, Arjun Mukherjee, Rakesh M. Verma
On the Feasibility of Using GANs for Claim Verification- Experiments and Analysis. ROMCIR@ECIR (2021)
Amartya Hatua, Arjun Mukherjee, Rakesh M. Verma
Claim Verification using a Multi-GAN based Model. CoRR (2021)
Shahryar Baki, Rakesh M. Verma
Sixteen Years of Phishing User Studies: What Have We Learned? CoRR (2021)
Rakesh M. Verma
Capacity Expansion in Cybersecurity: Challenges and Prospects. SIGCSE (2021)
Victor Zeng, Xin Zhou, Shahryar Baki, Rakesh M. Verma
PhishBench 2.0: A Versatile and Extendable Benchmarking Framework for Phishing. CCS (2020)
Rakesh M. Verma
Poster: A Modular and Innovative Security Analytics Course. SIGCSE (2020)
Avisha Das, Shahryar Baki, Ayman El Aassal, Rakesh M. Verma, Arthur Dunbar
SoK: A Comprehensive Reexamination of Phishing Research From the Security Perspective. IEEE Commun. Surv. Tutorials 22 (1) (2020)
Xin Zhou, Rakesh M. Verma
Phishing Sites Detection from a Web Developer's Perspective Using Machine Learning. HICSS (2020)
Avisha Das, Rakesh M. Verma
Modeling Coherency in Generated Emails by Leveraging Deep Neural Learners. CoRR (2020)
Daniel Lee, Rakesh M. Verma, Avisha Das, Arjun Mukherjee
Experiments in Extractive Summarization: Integer Linear Programming, Term/Sentence Scoring, and Title-driven Models. CoRR (2020)
Ayman El Aassal, Shahryar Baki, Avisha Das, Rakesh M. Verma
An In-Depth Benchmarking and Evaluation of Phishing Detection Research for Security Needs. IEEE Access 8 (2020)
Shahryar Baki, Rakesh M. Verma, Arjun Mukherjee, Omprakash Gnawali
Less is More: Exploiting Social Trust to Increase the Effectiveness of a Deception Attack. CoRR (2020)
Victor Zeng, Shahryar Baki, Ayman El Aassal, Rakesh M. Verma, Luis Felipe Teixeira De Moraes, Avisha Das
Diverse Datasets and a Customizable Benchmarking Framework for Phishing. IWSPA@CODASPY (2020)
Shahryar Baki, Rakesh M. Verma, Omprakash Gnawali
Scam Augmentation and Customization: Identifying Vulnerable Users and Arming Defenders. AsiaCCS (2020)
Elisa Bertino, Anoop Singhal, Srivathsan Srinivasagopalan, Rakesh M. Verma
Developing A Compelling Vision for Winning the Cybersecurity Arms Race. CODASPY (2020)
Avisha Das, Rakesh M. Verma
Can Machines Tell Stories? A Comparative Study of Deep Neural Language Models and Metrics. IEEE Access 8 (2020)
Daniel Lee, Rakesh M. Verma
Adversarial Machine Learning for Text. IWSPA@CODASPY (2020)
Alan T. Sherman, Linda Oliva, Enis Golaszewski, Dhananjay S. Phatak, Travis Scheponik, Geoffrey L. Herman, Dong San Choi, Spencer E. Offenberger, Peter Peterson, Josiah Dykstra, Gregory V. Bard, Ankur Chattopadhyay, Filipo Sharevski, Rakesh M. Verma, Ryan Vrecenar
The CATS Hackathon: Creating and Refining Test Items for Cybersecurity Concept Inventories. CoRR (2019)
Rakesh M. Verma, Samaneh Karimi, Daniel Lee, Omprakash Gnawali, Azadeh Shakery
Newswire versus Social Media for Disaster Response and Recovery. CoRR (2019)
Houtan Faridi, Srivathsan Srinivasagopalan, Rakesh M. Verma
Parameter Tuning and Confidence Limits of Malware Clustering. CODASPY (2019)
Avisha Das, Rakesh M. Verma
Automated email Generation for Targeted Attacks using Natural Language. CoRR (2019)
Alan T. Sherman, Josiah Dykstra, Gregory V. Bard, Ankur Chattopadhyay, Filipo Sharevski, Rakesh M. Verma, Ryan Vrecenar, Linda Oliva, Enis Golaszewski, Dhananjay S. Phatak, Travis Scheponik, Geoffrey L. Herman, Dong San Choi, Spencer E. Offenberger, Peter Peterson
The CATS Hackathon: Creating and Refining Test Items for Cybersecurity Concept Inventories. IEEE Secur. Priv. 17 (6) (2019)
Rakesh M. Verma, Victor Zeng, Houtan Faridi
Data Quality for Security Challenges: Case Studies of Phishing, Malware and Intrusion Detection Datasets. CCS (2019)
Samaneh Karimi, Azadeh Shakery, Rakesh M. Verma
Online News Media Website Ranking Using User Generated Content. CoRR (2019)
Avisha Das, Shahryar Baki, Ayman El Aassal, Rakesh M. Verma, Arthur Dunbar
SOK: A Comprehensive Reexamination of Phishing Research from the Security Perspective. CoRR (2019)
Luis F. T. De Moraes, Avisha Das, Samaneh Karimi, Rakesh M. Verma
University of Houston @ CL-SciSumm 2018. BIRNDL@SIGIR (2018)
Luis F. T. Moraes, Shahryar Baki, Rakesh M. Verma, Daniel Lee
Identifying reference spans: topic modeling and word embeddings help IR. Int. J. Digit. Libr. 19 (2-3) (2018)
Samaneh Karimi, Luis F. T. Moraes, Avisha Das, Azadeh Shakery, Rakesh M. Verma
Citance-based retrieval and summarization using IR and machine learning. Scientometrics 116 (2) (2018)
Gal Egozi, Rakesh M. Verma
Phishing Email Detection Using Robust NLP Techniques. ICDM Workshops (2018)
Boris Chernis, Rakesh M. Verma
Machine Learning Methods for Software Vulnerability Detection. IWSPA@CODASPY (2018)
Houtan Faridi, Srivathsan Srinivasagopalan, Rakesh M. Verma
Performance Evaluation of Features and Clustering Algorithms for Malware. ICDM Workshops (2018)
Rakesh M. Verma
Security Analytics: Adapting Data Science for Security Challenges. IWSPA@CODASPY (2018)
Nicholas R. Radcliffe, Luis F. T. Moraes, Rakesh M. Verma
Uniqueness of Normal Forms for Shallow Term Rewrite Systems. ACM Trans. Comput. Log. 18 (2) (2017)
Alan T. Sherman, Melissa Dark, Agnes Chan, Rylan Chong, Thomas H. Morris, Linda Oliva, John A. Springer, Bhavani M. Thuraisingham, Christopher Vatcher, Rakesh M. Verma, Susanne Wetzel
INSuRE: Collaborating Centers of Academic Excellence Engage Students in Cybersecurity Research. IEEE Secur. Priv. 15 (4) (2017)
Shahryar Baki, Rakesh M. Verma, Arjun Mukherjee, Omprakash Gnawali
Scaling and Effectiveness of Email Masquerade Attacks: Exploiting Natural Language Generation. AsiaCCS (2017)
Samaneh Karimi, Luis F. T. Moraes, Avisha Das, Rakesh M. Verma
University of Houston @ CL-SciSumm 2017: Positional language Models, Structural Correspondence Learning and Textual Entailment. BIRNDL@SIGIR (2) (2017)
Alan T. Sherman, Melissa Dark, Agnes Chan, Rylan Chong, Thomas H. Morris, Linda Oliva, John A. Springer, Bhavani M. Thuraisingham, Christopher Vatcher, Rakesh M. Verma, Susanne Wetzel
The INSuRE Project: CAE-Rs Collaborate to Engage Students in Cybersecurity Research. CoRR (2017)
Rakesh M. Verma, Daniel Lee
Extractive Summarization: Limits, Compression, Generalized Model and Heuristics. CoRR (2017)
Rakesh M. Verma, Ayman El Aassal
Comprehensive Method for Detecting Phishing EmailsUsing Correlation-based Analysis and User Participation. CODASPY (2017)
Rakesh M. Verma, Avisha Das
What's in a URL: Fast Feature Extraction and Malicious URL Detection. IWSPA@CODASPY (2017)
Luis F. T. Moraes, Shahryar Baki, Rakesh M. Verma, Daniel Lee
Identifying Reference Spans: Topic Modeling and Word Embeddings help IR. CoRR (2017)
Rakesh M. Verma, Daniel Lee
Extractive Summarization: Limits, Compression, Generalized Model and Heuristics. Computación y Sistemas 21 (4) (2017)
Vasanthi Vuppuluri, Shahryar Baki, An Nguyen, Rakesh M. Verma
ICE: Idiom and Collocation Extractor for Research and Education. EACL (Software Demonstrations) (2017)
Luis F. T. Moraes, Shahryar Baki, Rakesh M. Verma, Daniel Lee
University of Houston at CL-SciSumm 2016: SVMs with tree kernels and Sentence Similarity. BIRNDL@JCDL (2016)
Nicholas R. Radcliffe, Luis F. T. Moraes, Rakesh M. Verma
Uniqueness of Normal Forms for Shallow Term Rewrite Systems. CoRR (2016)
Rakesh M. Verma, Vasanthi Vuppuluri, An Nguyen, Arjun Mukherjee, Ghita Mammar, Shahryar Baki, Reed Armstrong
Mining the Web for Collocations: IR Models of Term Associations. CICLing (1) (2016)
Tayfun Tuna, Mahima Joshi, Varun Varghese, Rucha Deshpande, Jaspal Subhlok, Rakesh M. Verma
Topic based segmentation of classroom videos. FIE (2015)
Zhimin Gao, Nicholas DeSalvo, Pham Dang Khoa, Seung-Hun Kim, Lei Xu, Won Woo Ro, Rakesh M. Verma, Weidong Shi
Integrity Protection for Big Data Processing with Dynamic Redundancy Computation. ICAC (2015)
Rakesh M. Verma, Nirmala Rai
Phish-IDetector: Message-Id Based Automatic Phishing Detection. SECRYPT (2015)
Rakesh M. Verma, Keith Dyer
On the Character of Phishing URLs: Accurate and Robust Statistical Learning Classifiers. CODASPY (2015)
Narasimha Shashidhar, Chadi Kari, Rakesh M. Verma
The Efficacy of Epidemic Algorithms on Detecting Node Replicas in Wireless Sensor Networks. J. Sens. Actuator Networks 4 (4) (2015)
Rakesh M. Verma, Murat Kantarcioglu, David J. Marchette, Ernst L. Leiss, Thamar Solorio
Security Analytics: Essential Data Analytics Knowledge for Cybersecurity Professionals and Students. IEEE Secur. Priv. 13 (6) (2015)
Rakesh M. Verma, Vasanthi Vuppuluri
A New Approach for Idiom Identification Using Meanings and the Web. RANLP (2015)
Wenyaw Chan, George Cybenko, Murat Kantarcioglu, Ernst L. Leiss, Thamar Solorio, Bhavani M. Thuraisingham, Rakesh M. Verma
Panel: Essential Data Analytics Knowledge forCyber-security Professionals and Students. IWSPA@CODASPY (2015)
Tanmay Thakur, Rakesh M. Verma
Catching Classical and Hijack-Based Phishing Attacks. ICISS (2014)
Rakesh M. Verma, Nabil Hossain
Semantic Feature Selection for Text with Application to Phishing Email Detection. ICISC (2013)
Rakesh M. Verma, Bailey E. Basile
Modeling and analysis of LEAP, a key management protocol for wireless sensor networks. SECON (2013)
Rakesh M. Verma, Narasimha Shashidhar, Nabil Hossain
Detecting Phishing Emails the Natural Language Way. ESORICS (2012)
Rakesh M. Verma, Narasimha Shashidhar, Nabil Hossain
Two-Pronged Phish Snagging. ARES (2012)
Araly Barrera, Rakesh M. Verma
Combining Syntax and Semantics for Automatic Extractive Single-Document Summarization. CICLing (2) (2012)
Rakesh M. Verma
New Undecidability Results for Properties of Term Rewrite Systems. Electron. Notes Theor. Comput. Sci. 290 (2012)
Araly Barrera, Rakesh M. Verma, Ryan Vincent
SemQuest: University of Houston's Semantics-based Question Answering System. TAC (2011)
Rakesh M. Verma, Wei Guo
Does Unification Help in Normalization? UNIF (2011)
Araly Barrera, Rakesh M. Verma
Automated extractive single-document summarization: beating the baselines with a new approach. SAC (2011)
Sam Blackshear, Rakesh M. Verma
R-LEAP+: randomizing LEAP+ key distribution to resist replay and jamming attacks. SAC (2010)
Julian Zinn, Rakesh M. Verma
A polynomial algorithm for uniqueness of normal forms of linear shallow term rewrite systems. Appl. Algebra Eng. Commun. Comput. 21 (6) (2010)
Araly Barrera, Rakesh M. Verma
A Ranking-based Approach for Multiple-document Information Extraction. TAC (2010)
Nicholas R. Radcliffe, Rakesh M. Verma
Uniqueness of Normal Forms is Decidable for Shallow Term Rewrite Systems. FSTTCS (2010)
Zhiyao Liang, Rakesh M. Verma
Correcting and Improving the NP Proof for Cryptographic Protocol Insecurity. ICISS (2009)
Rakesh M. Verma
Complexity of Normal Form Properties and Reductions for Term Rewriting Problems Complexity of Normal Form Properties and Reductions for Term Rewriting Problems. Fundam. Informaticae 92 (1-2) (2009)
Zhiyao Liang, Rakesh M. Verma
Improving Techniques for Proving Undecidability of Checking Cryptographic Protocols. ARES (2008)
Zhiyao Liang, Rakesh M. Verma
Complexity of Checking Freshness of Cryptographic Protocols. ICISS (2008)
Rakesh M. Verma, David Kent, Ping Chen
Semantic Multi-Document Update Summarization Techniques. TAC (2008)

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Publication Activity (10 Years)

Top Topics

Top Venues

Rakesh M. Verma