2 citations · 2 across the 7 of their papers we have counts for
7 papers
Assessing Socio-Cyber Vulnerability Using Survey and Social Media Data
Shutonu Mitra, Qi Zhang, Tomas Neguyen +6
The rapid growth of social media participation has increased exposure to socially engineered cyber threats (e.g., phishing, romance fraud, and tech-support scams), yet prevailing a…
RoboKA: KAN Informed Multimodal Learning for RoboCall Surveillance System
Nitin Choudhury, Nikhil Kumar, Aditya Kumar Sinha +5
Wide exploration on robocall surveillance research is hindered due to limited access to public datasets, due to privacy concerns. In this work, we first curate Robo-SAr, a syntheti…
Debiasing Large Language Models toward Social Factors in Online Behavior Analytics through Prompt Knowledge Tuning
Hossein Salemi, Jitin Krishnan, Hemant Purohit
Attribution theory explains how individuals interpret and attribute others' behavior in a social context by employing personal (dispositional) and impersonal (situational) causalit…
Scam Shield: Multi-Model Voting and Fine-Tuned LLMs Against Adversarial Attacks
Chen-Wei Chang, Shailik Sarkar, Hossein Salemi +7
Scam detection remains a critical challenge in cybersecurity as adversaries craft messages that evade automated filters. We propose a Hierarchical Scam Detection System (HSDS) that…
SCVI: Bridging Social and Cyber Dimensions for Comprehensive Vulnerability Assessment
Shutonu Mitra, Tomas Neguyen, Qi Zhang +8
The rise of cyber threats on social media platforms necessitates advanced metrics to assess and mitigate social cyber vulnerabilities. This paper presents the Social Cyber Vulnerab…
Exposing LLM Vulnerabilities: Adversarial Scam Detection and Performance
Chen-Wei Chang, Shailik Sarkar, Shutonu Mitra +7
Can we trust Large Language Models (LLMs) to accurately predict scam? This paper investigates the vulnerabilities of LLMs when facing adversarial scam messages for the task of scam…
Closing the Knowledge Gap in Designing Data Annotation Interfaces for AI-powered Disaster Management Analytic Systems
Zinat Ara, Hossein Salemi, Sungsoo Ray Hong +4
Data annotation interfaces predominantly leverage ground truth labels to guide annotators toward accurate responses. With the growing adoption of Artificial Intelligence (AI) in do…