1 citations · 1 across the 4 of their papers we have counts for
4 papers
PoC-Gym: Towards More Reliable LLM-Assisted Proof-of-Concept Exploit Generation
Derin Gezgin, Amartya Das, Shinhae Kim +3
Recently Large Language Models (LLMs) have been used in security-related tasks, including generating proof-of-concept (PoC) exploits. Several LLM-assisted approaches have been prop…
Easier Said Than Done: Unpacking Intent-Behavior Gap in Jailbreaking LLM-Based Robots
Xuancun Lu, Zhengxian Huang, Xinfeng Li +4
LLM-based robots use Large Language Models (LLMs) as planners to translate natural language instructions into policies such as grasp(), move_to(), and open_gripper(). Jailbreak att…
Vulnerability Detection in C/C++ Code with Deep Learning
Zhen Huang, Amy Aumpansub
Deep learning has been shown to be a promising tool in detecting software vulnerabilities. In this work, we train neural networks with program slices extracted from the source code…
Path-wise Vulnerability Mitigation
Zhen Huang, Hristina Dokic
Software vulnerabilities are prevalent but fixing software vulnerabilities is not trivial. Studies have shown that a considerable prepatch window exists because it often takes week…