14 citations · 29 across the 9 of their papers we have counts for
12 papers
Claim Verification using a Multi-GAN based Model
Amartya Hatua, Arjun Mukherjee, Rakesh M. Verma
This article describes research on claim verification carried out using a multiple GAN-based model. The proposed model consists of three pairs of generators and discriminators. The…
Modeling Coherency in Generated Emails by Leveraging Deep Neural Learners
Avisha Das, Rakesh M. Verma
Advanced machine learning and natural language techniques enable attackers to launch sophisticated and targeted social engineering-based attacks. To counter the active attacker iss…
Less is More: Exploiting Social Trust to Increase the Effectiveness of a Deception Attack
Shahryar Baki, Rakesh M. Verma, Arjun Mukherjee +1
Cyber attacks such as phishing, IRS scams, etc., still are successful in fooling Internet users. Users are the last line of defense against these attacks since attackers seem to al…
SOK: A Comprehensive Reexamination of Phishing Research from the Security Perspective
Avisha Das, Shahryar Baki, Ayman El Aassal +2
Phishing and spear-phishing are typical examples of masquerade attacks since trust is built up through impersonation for the attack to succeed. Given the prevalence of these attack…
Online News Media Website Ranking Using User Generated Content
Samaneh Karimi, Azadeh Shakery, Rakesh Verma
News media websites are important online resources that have drawn great attention of text mining researchers. The main aim of this study is to propose a framework for ranking onli…
Automated email Generation for Targeted Attacks using Natural Language
Avisha Das, Rakesh Verma
With an increasing number of malicious attacks, the number of people and organizations falling prey to social engineering attacks is proliferating. Despite considerable research in…
The CATS Hackathon: Creating and Refining Test Items for Cybersecurity Concept Inventories
Alan T. Sherman, Linda Oliva, Enis Golaszewski +12
For two days in February 2018, 17 cybersecurity educators and professionals from government and industry met in a "hackathon" to refine existing draft multiple-choice test items, a…
Identifying Reference Spans: Topic Modeling and Word Embeddings help IR
Luis Moraes, Shahryar Baki, Rakesh Verma +1
The CL-SciSumm 2016 shared task introduced an interesting problem: given a document D and a piece of text that cites D, how do we identify the text spans of D being referenced by t…
Extractive Summarization: Limits, Compression, Generalized Model and Heuristics
Rakesh Verma, Daniel Lee
Due to its promise to alleviate information overload, text summarization has attracted the attention of many researchers. However, it has remained a serious challenge. Here, we fir…
The INSuRE Project: CAE-Rs Collaborate to Engage Students in Cybersecurity Research
Alan Sherman, M. Dark, A. Chan +8
Since fall 2012, several National Centers of Academic Excellence in Cyber Defense Research (CAE-Rs) fielded a collaborative course to engage students in solving applied cybersecuri…
Uniqueness of Normal Forms for Shallow Term Rewrite Systems
Nicholas Radcliffe, Luis Moraes, Rakesh Verma
Uniqueness of normal forms () is an important property of term rewrite systems. is decidable for ground (i.e., variable-free) systems and undecidable in general. Recen…
Static Analysis Techniques for Equational Logic Programming
Rakesh M. Verma
An equational logic program is a set of directed equations or rules, which are used to compute in the obvious way (by replacing equals with ``simpler'' equals). We present static a…