Evaluating Jailbreak Vulnerabilities in LLMs: A Taxonomy and Comparative Analysis in Romance Fraud Scenarios
Parra, Yohn Jairo; Chi, Hongmei; Alo, Richard A.; Lima, Vinicius (2026) — 2026 IEEE 5th International Conference on AI in Cybersecurity (ICAIC)
Type: Proceedings Article
Country: United States
Tags: jailbreak prompts, romance fraud, LLM safety, benchmarking, comparative analysis, attack strategy taxonomy, multi-model evaluation, taxonomy, attack vectors, latency, jailbreak, risk assessment, attack surface, prompt engineering, ethics
This piece examines Evaluating Jailbreak Vulnerabilities in LLMs: A Taxonomy and Comparative Analysis in Romance Fraud Scenarios within the broader context of online fraud and mediated communication. It outlines common p...
Who can spot an online romance scam?
Whitty, MT. (2019) — Journal of Financial Crime
Type: Journal Article
Country: United Kingdom
Tags: offender tactics, psychology, AI misuse, risk factors, measurement
This study investigates factors that predict the ability to identify online romance scams, focusing on personality traits, belief systems, domain expertise, and response speed. In an online experiment, 261 participants w...