55 citations · 58 across the 11 of their papers we have counts for
12 papers
EventSpec: Defining and Detecting Event-Semantic Issues in Blockchain Ecosystems
Yixuan Liu, Yuxin Dong, Ye Liu +4
In recent years, smart contracts have become the backbone of decentralized applications (DApps), and off-chain systems such as bridges, wallets, and indexers rely heavily on event…
TrapHunter: Exposing Covert Pathways in Trap Token Contracts
Yin Wu, Yixuan Liu, Yi Li +5
Standardized token contracts (e.g., ERC-20) form the foundation of digital assets. However, attackers increasingly abuse this standardization to disguise malicious trap tokens. Unl…
LogicScan: An LLM-driven Framework for Detecting Business Logic Vulnerabilities in Smart Contracts
Jiaqi Gao, Zijian Zhang, Yuqiang Sun +5
Business logic vulnerabilities have become one of the most damaging yet least understood classes of smart contract vulnerabilities. Unlike traditional bugs such as reentrancy or ar…
Towards Secure Program Partitioning for Smart Contracts with LLM's In-Context Learning
Ye Liu, Yuqing Niu, Chengyan Ma +5
Smart contracts are highly susceptible to manipulation attacks due to the leakage of sensitive information. Addressing manipulation vulnerabilities is particularly challenging beca…
Phantom Events: Demystifying the Issues of Log Forgery in Blockchain
Yixuan Liu, Yuxin Dong, Ye Liu +2
With the rapid development of blockchain technology, transaction logs play a central role in various applications, including decentralized exchanges, wallets, cross-chain bridges,…
Detecting Various DeFi Price Manipulations with LLM Reasoning
Juantao Zhong, Daoyuan Wu, Ye Liu +4
DeFi (Decentralized Finance) is one of the most important applications of today's cryptocurrencies and smart contracts. It manages hundreds of billions in Total Value Locked (TVL)…
OpenTracer: A Dynamic Transaction Trace Analyzer for Smart Contract Invariant Generation and Beyond
Zhiyang Chen, Ye Liu, Sidi Mohamed Beillahi +2
Smart contracts, self-executing programs on the blockchain, facilitate reliable value exchanges without centralized oversight. Despite the recent focus on dynamic analysis of their…
Demystifying the Characteristics for Smart Contract Upgrades
Ye Liu, Shuo Li, Xiuheng Wu +3
Upgradable smart contracts play an important role in the decentralized application ecosystem, to support routine maintenance, security patching, and feature additions. In this pape…
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…
Demystifying Invariant Effectiveness for Securing Smart Contracts
Zhiyang Chen, Ye Liu, Sidi Mohamed Beillahi +2
Smart contract transactions associated with security attacks often exhibit distinct behavioral patterns compared with historical benign transactions before the attacking events. Wh…
Specification Mining for Smart Contracts with Trace Slicing and Predicate Abstraction
Ye Liu, Yixuan Liu, Yi Li +1
Smart contracts are computer programs running on blockchains to implement Decentralized Applications. The absence of contract specifications hinders routine tasks, such as contract…
Automated Invariant Generation for Solidity Smart Contracts
Ye Liu, Chengxuan Zhang, Yi Li.
Smart contracts are computer programs running on blockchains to automate the transaction execution between users. The absence of contract specifications poses a real challenge to t…