2 citations · 2 across the 2 of their papers we have counts for
2 papers
cs.CR2025
On the Effectiveness of Instruction-Tuning Local LLMs for Identifying Software Vulnerabilities
Sangryu Park, Gihyuk Ko, Homook Cho
Large Language Models (LLMs) show significant promise in automating software vulnerability analysis, a critical task given the impact of security failure of modern software systems…
cs.LG2021★ 2 cited
Unsupervised Detection of Adversarial Examples with Model Explanations
Gihyuk Ko, Gyumin Lim
Deep Neural Networks (DNNs) have shown remarkable performance in a diverse range of machine learning applications. However, it is widely known that DNNs are vulnerable to simple ad…