activity
20212026
most citedCombining Graph Neural Networks with Expert Knowledge for Smart Contract Vulnerability Detection

252 citations · 273 across the 11 of their papers we have counts for

collaborators
Showing cs.CRShow all

8 papers · 1 filter

cs.CR2026

Before Agents Speak: Pre-hoc Failure Risk Inference in Multi-Agent Systems

Shi Lin, Chenpei Wang, Peng Qian +4

LLM-based multi-agent systems (MAS) have exhibited remarkable capabilities in collaborative reasoning and decision-making, yet their interconnected communications introduce new sys…

cs.CR2024

Reasoning as a Weapon: Adaptive Dual-Path Jailbreak Attack on Large Language Models

Shi Lin, Peng Qian, Hongming Yang +3

Large language models (LLMs) have achieved remarkable progress across a wide range of applications. Despite advances in safety alignment, they remain vulnerable to jailbreak attack…

cs.CR2023

MuFuzz: Sequence-Aware Mutation and Seed Mask Guidance for Blockchain Smart Contract Fuzzing

Peng Qian, Hanjie Wu, Zeren Du +7

As blockchain smart contracts become more widespread and carry more valuable digital assets, they become an increasingly attractive target for attackers. Over the past few years, s…

cs.CR2023★ 3 cited

Empirical Review of Smart Contract and DeFi Security: Vulnerability Detection and Automated Repair

Peng Qian, Rui Cao, Zhenguang Liu +6

Decentralized Finance (DeFi) is emerging as a peer-to-peer financial ecosystem, enabling participants to trade products on a permissionless blockchain. Built on blockchain and smar…

cs.CR2023★ 5 cited

Rethinking Smart Contract Fuzzing: Fuzzing With Invocation Ordering and Important Branch Revisiting

Zhenguang Liu, Peng Qian, Jiaxu Yang +4

Blockchain smart contracts have given rise to a variety of interesting and compelling applications and emerged as a revolutionary force for the Internet. Quite a few practitioners…

cs.CR2022★ 4 cited

Demystifying Bitcoin Address Behavior via Graph Neural Networks

Zhengjie Huang, Yunyang Huang, Peng Qian +2

Bitcoin is one of the decentralized cryptocurrencies powered by a peer-to-peer blockchain network. Parties who trade in the bitcoin network are not required to disclose any persona…

cs.CR2022

Smart Contract Vulnerability Detection Technique: A Survey

Peng Qian, Zhenguang Liu, Qinming He +3

Smart contract, one of the most successful applications of blockchain, is taking the world by storm, playing an essential role in the blockchain ecosystem. However, frequent smart…

cs.CR2021★ 252 cited

Combining Graph Neural Networks with Expert Knowledge for Smart Contract Vulnerability Detection

Zhenguang Liu, Peng Qian, Xiaoyang Wang +3

Smart contract vulnerability detection draws extensive attention in recent years due to the substantial losses caused by hacker attacks. Existing efforts for contract security anal…