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20242026
most citedExposing LLM Vulnerabilities: Adversarial Scam Detection and Performance

2 citations · 2 across the 5 of their papers we have counts for

collaborators

5 papers

cs.SI2026

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…

cs.CR2025

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…

cs.CR2025

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…

cs.SI2024

Enhancing Temporal Link Prediction with HierTKG: A Hierarchical Temporal Knowledge Graph Framework

Mariam Almutairi, Melike Yildiz Aktas, Nawar Wali +2

The rapid spread of misinformation on social media, especially during crises, challenges public decision-making. To address this, we propose HierTKG, a framework combining Temporal…

cs.CR2024★ 2 cited

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…