14 citations · 18 across the 5 of their papers we have counts for
5 papers
Indi-RomCoM: Code-Mixed Benchmark for Evaluating LLMs on Romanized Indic-English Instructions
Avisha Das, Mihir Parmar, Mohana Ramnath +1
Romanized Code Mixing (RCM), where bilingual speakers fluidly blend local languages with English in Roman script, has emerged as the dominant form of communication across multiling…
Experiments in Extractive Summarization: Integer Linear Programming, Term/Sentence Scoring, and Title-driven Models
Daniel Lee, Rakesh Verma, Avisha Das +1
In this paper, we revisit the challenging problem of unsupervised single-document summarization and study the following aspects: Integer linear programming (ILP) based algorithms,…
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…
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…
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…