69 citations · 92 across the 35 of their papers we have counts for
36 papers
RAGas: Retrieval-Augmented Gas Optimization for Smart Contracts with Continuous Knowledge Integration
Yishun Wang, Wenjin Yi, Wenkai Li +2
Ethereum is now integral to mission-critical sectors, including finance, healthcare, and supply chain management. Execution fees, commonly referred to as Gas, scale with the comput…
NFTDELTA: Detecting Permission Control Vulnerabilities in NFT Contracts through Multi-View Learning
Hailu Kuang, Xiaoqi Li, Wenkai Li +1
Permission control vulnerabilities in Non-fungible token (NFT) contracts can result in significant financial losses, as attackers may exploit these weaknesses to gain unauthorized…
PSR2: A Phase-based Semantic Reasoning Framework for Atomicity Violation Detection via Contract Refinement
Xiaoqi Li, Xin Wang, Wenkai Li +1
With the rapid advancement of decentralized applications, smart contract security faces severe challenges, particularly regarding atomicity violations in complex logic such as Orac…
Say Something Else: Rethinking Contextual Privacy as Information Sufficiency
Yunze Xiao, Wenkai Li, Xiaoyuan Wu +3
LLM agents increasingly draft messages on behalf of users, yet users routinely overshare sensitive information and disagree on what counts as private. Existing systems support only…
LiquiLM: Bridging the Semantic Gap in Liquidity Flaw Audit via DCN and LLMs
Zekai Liu, Xiaoqi Li, Wenkai Li +1
Traditional consensus mechanisms, such as Proof of Stake (PoS), increasingly reveal an excessive dependency on large liquidity providers. Although the Proof of Liquidity (PoL) mech…
SCPatcher: Automated Smart Contract Code Repair via Retrieval-Augmented Generation and Knowledge Graph
Xiaoqi Li, Shipeng Ye, Wenkai Li +1
Smart contract vulnerabilities can cause substantial financial losses due to the immutability of code after deployment. While existing tools detect vulnerabilities, they cannot eff…
LibScan: Smart Contract Library Misuse Detection with Iterative Feedback and Static Verification
Yishun Wang, Wenkai Li, Xiaoqi Li +3
Smart contracts are self-executing programs that manage financial transactions on blockchain networks. Developers commonly rely on third-party code libraries to improve both effici…
Defensible Design for OpenClaw: Securing Autonomous Tool-Invoking Agents
Zongwei Li, Wenkai Li, Xiaoqi Li
OpenClaw-like agents offer substantial productivity benefits, yet they are insecure by default because they combine untrusted inputs, autonomous action, extensibility, and privileg…
No More Hidden Pitfalls? Exposing Smart Contract Bad Practices with LLM-Powered Hybrid Analysis
Xiaoqi Li, Zongwei Li, Wenkai Li +2
As the Ethereum platform continues to mature and gain widespread usage, it is crucial to maintain high standards of smart contract writing practices. While bad practices in smart c…
AtomGraph: Tackling Atomicity Violation in Smart Contracts using Multimodal GCNs
Xiaoqi Li, Zongwei Li, Wenkai Li +2
Smart contracts are a core component of blockchain technology and are widely deployed across various scenarios. However, atomicity violations have become a potential security risk.…
USCSA: Evolution-Aware Security Analysis for Proxy-Based Upgradeable Smart Contracts
Xiaoqi Li, Lei Xie, Wenkai Li +1
In the case of upgrading smart contracts on blockchain systems, it is essential to consider the continuity of upgrades and subsequent maintenance. In practice, upgrade operations o…
ScamSweeper: Detecting Illegal Accounts in Web3 Scams via Transactions Analysis
Xiaoqi Li, Wenkai Li, Zhijie Liu +6
The web3 applications have recently been growing, especially on the Ethereum platform, starting to become the target of scammers. The web3 scams, imitating the services provided by…
CKG-LLM: LLM-Assisted Detection of Smart Contract Access Control Vulnerabilities Based on Knowledge Graphs
Xiaoqi Li, Hailu Kuang, Wenkai Li +2
Traditional approaches for smart contract analysis often rely on intermediate representations such as abstract syntax trees, control-flow graphs, or static single assignment form.…
Beyond the Hype: A Large-Scale Empirical Analysis of On-Chain Transactions in NFT Scams
Wenkai Li, Zongwei Li, Xiaoqi Li +3
Non-fungible tokens (NFTs) serve as a representative form of digital asset ownership and have attracted numerous investors, creators, and tech enthusiasts in recent years. However,…
Penetrating the Hostile: Detecting DeFi Protocol Exploits through Cross-Contract Analysis
Xiaoqi Li, Wenkai Li, Zhiquan Liu +2
Decentralized finance (DeFi) protocols are crypto projects developed on the blockchain to manage digital assets. Attacks on DeFi have been frequent and have resulted in losses exce…
NATLM: Detecting Defects in NFT Smart Contracts Leveraging LLM
Yuanzheng Niu, Xiaoqi Li, Wenkai Li
Security issues are becoming increasingly significant with the rapid evolution of Non-fungible Tokens (NFTs). As NFTs are traded as digital assets, they have emerged as prime targe…
MultiCFV: Detecting Control Flow Vulnerabilities in Smart Contracts Leveraging Multimodal Deep Learning
Hongli Peng, Xiaoqi Li, Wenkai Li
The introduction of smart contract functionality marks the advent of the blockchain 2.0 era, enabling blockchain technology to support digital currency transactions and complex dis…
UEChecker: Detecting Unchecked External Call Vulnerabilities in DApps via Graph Analysis
Dechao Kong, Xiaoqi Li, Wenkai Li
The increasing number of attacks on the contract layer of DApps has resulted in economic losses amounting to $66 billion. Vulnerabilities arise when contracts interact with externa…
Towards Understanding Deep Learning Model in Image Recognition via Coverage Test
Wenkai Li, Xiaoqi Li, Yingjie Mao +1
Deep neural networks (DNNs) play a crucial role in the field of artificial intelligence, and their security-related testing has been a prominent research focus. By inputting test c…
Mining Characteristics of Vulnerable Smart Contracts Across Lifecycle Stages
Hongli Peng, Xiaoqi Li, Wenkai Li
Smart contracts are the cornerstone of decentralized applications and financial protocols, which extend the application of digital currency transactions. The applications and finan…
Enhancing Smart Contract Vulnerability Detection in DApps Leveraging Fine-Tuned LLM
Jiuyang Bu, Wenkai Li, Zongwei Li +2
Decentralized applications (DApps) face significant security risks due to vulnerabilities in smart contracts, with traditional detection methods struggling to address emerging and…
SmartBugBert: BERT-Enhanced Vulnerability Detection for Smart Contract Bytecode
Jiuyang Bu, Wenkai Li, Zongwei Li +2
Smart contracts deployed on blockchain platforms are vulnerable to various security vulnerabilities. However, only a small number of Ethereum contracts have released their source c…
SCALM: Detecting Bad Practices in Smart Contracts Through LLMs
Zongwei Li, Xiaoqi Li, Wenkai Li +1
As the Ethereum platform continues to mature and gain widespread usage, it is crucial to maintain high standards of smart contract writing practices. While bad practices in smart c…
Guardians of the Ledger: Protecting Decentralized Exchanges from State Derailment Defects
Zongwei Li, Wenkai Li, Xiaoqi Li +1
The decentralized exchange (DEX) leverages smart contracts to trade digital assets for users on the blockchain. Developers usually develop several smart contracts into one project,…