activity
20142023
most citedA Performance-Sensitive Malware Detection System Using Deep Learning on Mobile Devices

140 citations · 224 across the 13 of their papers we have counts for

collaborators
Showing cs.CRShow all

5 papers · 1 filter

cs.CR2022★ 6 cited

Enhancing Security Patch Identification by Capturing Structures in Commits

Bozhi Wu, Shangqing Liu, Ruitao Feng +3

With the rapid increasing number of open source software (OSS), the majority of the software vulnerabilities in the open source components are fixed silently, which leads to the de…

cs.CR2021★ 10 cited

Formal Analysis of Composable DeFi Protocols

Palina Tolmach, Yi Li, Shang-Wei Lin +1

Decentralized finance (DeFi) has become one of the most successful applications of blockchain and smart contracts. The DeFi ecosystem enables a wide range of crypto-financial activ…

cs.CR2020★ 3 cited

SeqMobile: A Sequence Based Efficient Android Malware Detection System Using RNN on Mobile Devices

Ruitao Feng, Jing Qiang Lim, Sen Chen +2

With the proliferation of Android malware, the demand for an effective and efficient malware detection system is on the rise. The existing device-end learning based solutions tend…

cs.CR2020★ 140 cited

A Performance-Sensitive Malware Detection System Using Deep Learning on Mobile Devices

Ruitao Feng, Sen Chen, Xiaofei Xie +3

Currently, Android malware detection is mostly performed on server side against the increasing number of malware. Powerful computing resource provides more exhaustive protection fo…

cs.CR2019★ 16 cited

Oracle-Supported Dynamic Exploit Generation for Smart Contracts

Haijun Wang, Yi Li, Shang-Wei Lin +3

Despite the high stakes involved in smart contracts, they are often developed in an undisciplined manner, leaving the security and reliability of blockchain transactions at risk. I…