23 citations · 45 across the 8 of their papers we have counts for
4 papers · 1 filter
Defining and Detecting the Defects of the Large Language Model-based Autonomous Agents
Kaiwen Ning, Jiachi Chen, Jingwen Zhang +5
AI agents are systems capable of perceiving their environment, autonomously planning and executing tasks. Recent advancements in LLM have introduced a transformative paradigm for A…
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,…
SmartReco: Detecting Read-Only Reentrancy via Fine-Grained Cross-DApp Analysis
Jingwen Zhang, Zibin Zheng, Yuhong Nan +4
Despite the increasing popularity of Decentralized Applications (DApps), they are suffering from various vulnerabilities that can be exploited by adversaries for profits. Among suc…
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…