activity
20232026
most citedGPTScan: Detecting Logic Vulnerabilities in Smart Contracts by Combining GPT with Program Analysis

180 citations · 299 across the 10 of their papers we have counts for

collaborators

10 papers

cs.SE2026

When and How Context Rot Appears in Coding Agents: A White-Box Study of Agent Skills in Code Auditing

Yue Xue

Agent Skills package procedural instructions and checks for use by general-purpose agents, but loading a skill does not guarantee that every requirement remains active throughout a…

cs.SE2026

Chiral Analysis of Smart Contracts: Detecting Vulnerabilities from Relational Inconsistencies Across Business Paths

Yue Xue

Smart-contract vulnerabilities often arise from inconsistencies between business paths that should correspond to one another, such as single and batch entry points, direct and adap…

cs.CR2026

EvoPoC: Automated Exploit Synthesis for DeFi Smart Contracts via Hierarchical Knowledge Graphs

Ruichao Liang, Jing Chen, Xianglong Li +5

Smart contract vulnerabilities in Decentralized Finance caused over billions of dollars losses every year, yet the security community faces a critical bottleneck: identifying a vul…

cs.CR2026

Knowdit: Agentic Smart Contract Vulnerability Detection with Auditing Knowledge Summarization

Ziqiao Kong, Wanxu Xia, Chong Wang +6

Smart contracts govern billions of dollars in decentralized finance (DeFi), yet automated vulnerability detection remains challenging because many vulnerabilities are tightly coupl…

cs.CR2025★ 2 cited

Smart Contract Fuzzing Towards Profitable Vulnerabilities

Ziqiao Kong, Cen Zhang, Maoyi Xie +5

Billions of dollars are transacted through smart contracts, making vulnerabilities a major financial risk. One focus in the security arms race is on profitable vulnerabilities that…

cs.SE2024★ 55 cited

PropertyGPT: LLM-driven Formal Verification of Smart Contracts through Retrieval-Augmented Property Generation

Ye Liu, Yue Xue, Daoyuan Wu +4

With recent advances in large language models (LLMs), this paper explores the potential of leveraging state-of-the-art LLMs,such as GPT-4, to transfer existing human-written proper…

cs.SE2024★ 37 cited

Static Application Security Testing (SAST) Tools for Smart Contracts: How Far Are We?

Kaixuan Li, Yue Xue, Sen Chen +6

In recent years, the importance of smart contract security has been heightened by the increasing number of attacks against them. To address this issue, a multitude of static applic…

cs.SE2024★ 6 cited

Combining Fine-Tuning and LLM-based Agents for Intuitive Smart Contract Auditing with Justifications

Wei Ma, Daoyuan Wu, Yuqiang Sun +5

Smart contracts are decentralized applications built atop blockchains like Ethereum. Recent research has shown that large language models (LLMs) have potential in auditing smart co…

cs.CR2024★ 19 cited

LLM4Vuln: A Unified Evaluation Framework for Decoupling and Enhancing LLMs' Vulnerability Reasoning

Yuqiang Sun, Daoyuan Wu, Yue Xue +5

Large language models (LLMs) have demonstrated significant potential in various tasks, including those requiring human-level intelligence, such as vulnerability detection. However,…

cs.CR2023★ 180 cited

GPTScan: Detecting Logic Vulnerabilities in Smart Contracts by Combining GPT with Program Analysis

Yuqiang Sun, Daoyuan Wu, Yue Xue +5

Smart contracts are prone to various vulnerabilities, leading to substantial financial losses over time. Current analysis tools mainly target vulnerabilities with fixed control or…