3 papers
cs.CR2026
Towards an Automated Test of LLM Security Knowledge
Shufan Chai, Liangliang Sun, Jessica Staddon
Large language models (LLMs) are increasingly used for a range of software, hardware and human-centered security tasks. Consequently, LLM performance on security tasks is an active…
cs.CR2025
Learned, Lagged, LLM-splained: LLM Responses to End User Security Questions
Vijay Prakash, Kevin Lee, Arkaprabha Bhattacharya +2
Answering end user security questions is challenging. While large language models (LLMs) like GPT, LLAMA, and Gemini are far from error-free, they have shown promise in answering a…
cs.CR2024
Distinguishing Scams and Fraud with Ensemble Learning
Isha Chadalavada, Tianhui Huang, Jessica Staddon
Users increasingly query LLM-enabled web chatbots for help with scam defense. The Consumer Financial Protection Bureau's complaints database is a rich data source for evaluating LL…