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20162025
most citedLarge-Scale Analysis of Framework-Specific Exceptions in Android Apps

115 citations · 263 across the 14 of their papers we have counts for

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6 papers · 1 filter

cs.CR2025

Measuring and Explaining the Effects of Android App Transformations in Online Malware Detection

Guozhu Meng, Zhixiu Guo, Xiaodong Zhang +3

It is well known that antivirus engines are vulnerable to evasion techniques (e.g., obfuscation) that transform malware into its variants. However, it cannot be necessarily attribu…

cs.CR2023★ 28 cited

Demystifying RCE Vulnerabilities in LLM-Integrated Apps

Tong Liu, Zizhuang Deng, Guozhu Meng +2

LLMs show promise in transforming software development, with a growing interest in integrating them into more intelligent apps. Frameworks like LangChain aid LLM-integrated app dev…

cs.CR2021★ 8 cited

SEPAL: Towards a Large-scale Analysis of SEAndroid Policy Customization

Dongsong Yu, Guangliang Yang, Guozhu Meng +9

To investigate the status quo of SEAndroid policy customization, we propose SEPAL, a universal tool to automatically retrieve and examine the customized policy rules. SEPAL applies…

cs.CR2019★ 11 cited

Towards Security Threats of Deep Learning Systems: A Survey

Yingzhe He, Guozhu Meng, Kai Chen +2

Deep learning has gained tremendous success and great popularity in the past few years. However, deep learning systems are suffering several inherent weaknesses, which can threaten…

cs.CR2018★ 13 cited

An Empirical Assessment of Security Risks of Global Android Banking Apps

Sen Chen, Lingling Fan, Guozhu Meng +5

Mobile banking apps, belonging to the most security-critical app category, render massive and dynamic transactions susceptible to security risks. Given huge potential financial los…

cs.CR2016★ 10 cited

Contextual Weisfeiler-Lehman Graph Kernel For Malware Detection

Annamalai Narayanan, Guozhu Meng, Liu Yang +2

In this paper, we propose a novel graph kernel specifically to address a challenging problem in the field of cyber-security, namely, malware detection. Previous research has reveal…