CASCON 2025 (series) / Technical Papers / An Empirical Evaluation of LLM-Based Approaches for Code Vulnerability Detection: RAG, SFT, and Dual-Agent Systems
An Empirical Evaluation of LLM-Based Approaches for Code Vulnerability Detection: RAG, SFT, and Dual-Agent SystemsIndustry
Tue 11 Nov 2025 13:30 - 13:50 at Room 4 - TP:218:49:83:200: Security II
Tue 11 NovDisplayed time zone: Eastern Time (US & Canada) change
Tue 11 Nov
Displayed time zone: Eastern Time (US & Canada) change
13:00 - 14:30 | |||
13:00 30mTalk | Securing LLM-Generated Embedded Firmware through AI Agent-Driven Validation and Patching 74 Technical Papers | ||
13:30 20mTalk | An Empirical Evaluation of LLM-Based Approaches for Code Vulnerability Detection: RAG, SFT, and Dual-Agent SystemsIndustry 74 Technical Papers Md Hasan Saju Ontario Tech University, Maher Muhtadi Ontario Tech University, Akramul Azim Ontario Tech University | ||
13:50 20mTalk | SynRAG: A Large Language Model Framework for Executable Query Generation in Heterogeneous SIEM SystemsShort-Paper 74 Technical Papers Md Hasan Saju Ontario Tech University, Austin Page GlassHouse Systems, Akramul Azim Ontario Tech University, Jeff Gardiner GlassHouse Systems, Farzaneh Abazari GlassHouse Systems, Frank Eargle GlassHouse Systems | ||
14:10 20mTalk | Data Augmentation with RNN-Driven CGANs for RF Jamming Intrusion DetectionShort-Paper 74 Technical Papers | ||