In contemporary discourse, the pervasive influences of Generative Pre-Trained (GPT) and
Large Language Models (LLM) are evident, showcasing diverse applications. GPT-based …

Abstract Natural Language Processing (NLP) techniques play a crucial role in analyzing and
understanding text data, especially in domains such as disaster management where timely …

With the proliferation of attacks from various Advanced Persistent Threats (APT) groups, it is
essential to comprehend the threat actor's attack patterns to accelerate threat detection and …

To address the increasing complexity and frequency of cybersecurity incidents emphasized
by the recent cybersecurity threat reports with over 10 billion instances, cyber threat …

In this paper, we demonstrate a system for the automatic extraction and curation of crime-
related information from multi-source digitally published News articles collected over a …

This early stage work-in-progress doctoral research seeks to consolidate definitions of
persuasive, powerful, and influential language to identify quantifiable key features and …

The cyberthreat landscape is continuously evolving. Hence, continuous monitoring and
sharing of threat intelligence have become a priority for organizations. Threat reports …

We present CASIE, a system that extracts information about cybersecurity events from text
and populates a semantic model, with the ultimate goal of integration into a knowledge …

The recent progression of Large Language Models (LLMs) has witnessed great success in
the fields of data-centric applications. LLMs trained on massive textual datasets showed …

In this contemporary era, where a large part of the world population is deluged by extensive
use of the internet and social media, terrorists have found it a potential opportunity to …