55 citations · 58 across the 11 of their papers we have counts for
5 papers · 1 filter
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…
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…
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)…
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…