most citedSmart Contract Vulnerability Detection: From Pure Neural Network to Interpretable Graph Feature and Expert Pattern Fusion

8 citations · 9 across the 4 of their papers we have counts for

collaborators

5 papers

cs.LG20218 cited

Smart Contract Vulnerability Detection: From Pure Neural Network to Interpretable Graph Feature and Expert Pattern Fusion

Zhenguang Liu, Peng Qian, Xiang Wang +3

Smart contracts hold digital coins worth billions of dollars, their security issues have drawn extensive attention in the past years. Towards smart contract vulnerability detection…

cs.CR2021

DeFiRanger: Detecting Price Manipulation Attacks on DeFi Applications

Siwei Wu, Dabao Wang, Jianting He +5

The rapid growth of Decentralized Finance (DeFi) boosts the Ethereum ecosystem. At the same time, attacks towards DeFi applications (apps) are increasing. However, to the best of o…

cs.CR2019

De-Health: All Your Online Health Information Are Belong to Us

Shouling Ji, Qinchen Gu, Haiqin Weng +4

In this paper, we study the privacy of online health data. We present a novel online health data De-Anonymization (DA) framework, named De-Health. De-Health consists of two phases:…

cs.CR2019

FDI: Quantifying Feature-based Data Inferability

Shouling Ji, Haiqin Weng, Yiming Wu +3

Motivated by many existing security and privacy applications, e.g., network traffic attribution, linkage attacks, private web search, and feature-based data de-anonymization, in th…

cs.GT20191 cited

A Truthful FPTAS Mechanism for Emergency Demand Response in Colocation Data Centers

Jianhai Chen, Deshi Ye, Shouling Ji +3

Demand response (DR) is not only a crucial solution to the demand side management but also a vital means of electricity market in maintaining power grid reliability, sustainability…