115 citations · 263 across the 14 of their papers we have counts for
14 papers
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…
Good-looking but Lacking Faithfulness: Understanding Local Explanation Methods through Trend-based Testing
Jinwen He, Kai Chen, Guozhu Meng +2
While enjoying the great achievements brought by deep learning (DL), people are also worried about the decision made by DL models, since the high degree of non-linearity of DL mode…
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…
ContraBERT: Enhancing Code Pre-trained Models via Contrastive Learning
Shangqing Liu, Bozhi Wu, Xiaofei Xie +2
Large-scale pre-trained models such as CodeBERT, GraphCodeBERT have earned widespread attention from both academia and industry. Attributed to the superior ability in code represen…
TransRepair: Context-aware Program Repair for Compilation Errors
Xueyang Li, Shangqing Liu, Ruitao Feng +4
Automatically fixing compilation errors can greatly raise the productivity of software development, by guiding the novice or AI programmers to write and debug code. Recently, learn…
Learning Program Semantics with Code Representations: An Empirical Study
Jing Kai Siow, Shangqing Liu, Xiaofei Xie +2
Program semantics learning is the core and fundamental for various code intelligent tasks e.g., vulnerability detection, clone detection. A considerable amount of existing works pr…
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…
A3Ident: A Two-phased Approach to Identify the Leading Authors of Android Apps
Wei Wang, Guozhu Meng, Haoyu Wang +3
Authorship identification is the process of identifying and classifying authors through given codes. Authorship identification can be used in a wide range of software domains, e.g.…
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…
Efficiently Manifesting Asynchronous Programming Errors in Android Apps
Lingling Fan, Ting Su, Sen Chen +4
Android, the #1 mobile app framework, enforces the single-GUI-thread model, in which a single UI thread manages GUI rendering and event dispatching. Due to this model, it is vital…
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…
Large-Scale Analysis of Framework-Specific Exceptions in Android Apps
Lingling Fan, Ting Su, Sen Chen +5
Mobile apps have become ubiquitous. For app developers, it is a key priority to ensure their apps' correctness and reliability. However, many apps still suffer from occasional to f…
AndroVault: Constructing Knowledge Graph from Millions of Android Apps for Automated Analysis
Guozhu Meng, Yinxing Xue, Jing Kai Siow +3
Data driven research on Android has gained a great momentum these years. The abundance of data facilitates knowledge learning, however, also increases the difficulty of data prepro…
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…