10 citations · 20 across the 4 of their papers we have counts for
4 papers
RMCBench: Benchmarking Large Language Models' Resistance to Malicious Code
Jiachi Chen, Qingyuan Zhong, Yanlin Wang +6
The emergence of Large Language Models (LLMs) has significantly influenced various aspects of software development activities. Despite their benefits, LLMs also pose notable risks,…
Hyperion: Unveiling DApp Inconsistencies using LLM and Dataflow-Guided Symbolic Execution
Shuo Yang, Xingwei Lin, Jiachi Chen +5
The rapid advancement of blockchain platforms has significantly accelerated the growth of decentralized applications (DApps). Similar to traditional applications, DApps integrate f…
MCGMark: An Encodable and Robust Online Watermark for Tracing LLM-Generated Malicious Code
Kaiwen Ning, Jiachi Chen, Qingyuan Zhong +8
With the advent of large language models (LLMs), numerous software service providers (SSPs) are dedicated to developing LLMs customized for code generation tasks, such as CodeLlama…
Towards an Understanding of Large Language Models in Software Engineering Tasks
Zibin Zheng, Kaiwen Ning, Qingyuan Zhong +5
Large Language Models (LLMs) have drawn widespread attention and research due to their astounding performance in text generation and reasoning tasks. Derivative products, like Chat…