From the 1 of 5 linked papers with an AI index.
5 papers
D-LiFT: Improving LLM-based Decompiler Backend via Code Quality-driven Fine-tuning
Muqi Zou, Hongyu Cai, Hongwei Wu +9
The paper introduces D-LiFT, a system that fine‑tunes large language models with a code‑quality‑aware reinforcement learning approach to improve the accuracy and readability of dec…
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…
RoboJailBench: Benchmarking Adversarial Attacks and Defenses in Embodied Robotic Agents
Doguhuan Yeke, Yanming Zhou, Leo Y. Lin +3
Recent advances in Vision-Language Models (VLMs) facilitate a new class of embodied AI systems, where these models are integrated into physical platforms, e.g. robots and autonomou…
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…
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…