4 papers
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…
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…
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…