5 papers
Words Speak Louder Than Code: Investigating Cognitive Heuristics in LLM-Based Code Vulnerability Detection
Asif Shahriar, Hongyu Cai, Hadjer Benkraouda +2
Researchers and practitioners increasingly apply Large Language Models (LLMs) for automated vulnerability detection. Recent work has shown that LLMs are susceptible to the same cog…
Exploring and Developing a Pre-Model Safeguard with Draft Models
Hongyu Cai, Arjun Arunasalam, Yiming Liang +2
Large Language Model (LLM) alignment remains vulnerable to jailbreak attacks that elicit unsafe responses, motivating pre-model and post-model guards. Pre-model guards audit the sa…
D-LiFT: Improving LLM-based Decompiler Backend via Code Quality-driven Fine-tuning
Muqi Zou, Hongyu Cai, Hongwei Wu +9
As one of the key tools in many security tasks, decompilers reconstruct human-readable source code from binaries. Yet, despite recent advances, their outputs often suffer from synt…
LM-Scout: Analyzing the Security of Language Model Integration in Android Apps
Muhammad Ibrahim, Gűliz Seray Tuncay, Z. Berkay Celik +2
Developers are increasingly integrating Language Models (LMs) into their mobile apps to provide features such as chat-based assistants. To prevent LM misuse, they impose various re…
A Progressive Transformer for Unifying Binary Code Embedding and Knowledge Transfer
Hanxiao Lu, Hongyu Cai, Yiming Liang +2
Language model approaches have recently been integrated into binary analysis tasks, such as function similarity detection and function signature recovery. These models typically em…