activity
20202023
most citedAn Empirical Evaluation of GDPR Compliance Violations in Android mHealth Apps

14 citations · 28 across the 10 of their papers we have counts for

collaborators

10 papers

cs.CR2023★ 1 cited

Do as You Say: Consistency Detection of Data Practice in Program Code and Privacy Policy in Mini-App

Yin Wang, Ming Fan, Junfeng Liu +6

Mini-app is an emerging form of mobile application that combines web technology with native capabilities. Its features, e.g., no need to download and no installation, have made it…

cs.CL2023★ 1 cited

BDMMT: Backdoor Sample Detection for Language Models through Model Mutation Testing

Jiali Wei, Ming Fan, Wenjing Jiao +2

Deep neural networks (DNNs) and natural language processing (NLP) systems have developed rapidly and have been widely used in various real-world fields. However, they have been sho…

cs.SE2022★ 1 cited

Comparing One with Many -- Solving Binary2source Function Matching Under Function Inlining

Ang Jia, Ming Fan, Xi Xu +6

Binary2source function matching is a fundamental task for many security applications, including Software Component Analysis (SCA). The "1-to-1" mechanism has been applied in existi…

cs.SE2021

1-to-1 or 1-to-n? Investigating the effect of function inlining on binary similarity analysis

Ang Jia, Ming Fan, Wuxia Jin +6

Binary similarity analysis is critical to many code-reuse-related issues and "1-to-1" mechanism is widely applied, where one function in a binary file is matched against one functi…

cs.SE2021★ 2 cited

Towards Black-box Attacks on Deep Learning Apps

Hongchen Cao, Shuai Li, Yuming Zhou +3

Deep learning is a powerful weapon to boost application performance in many fields, including face recognition, object detection, image classification, natural language understandi…

cs.SE2021

Interpretation-enabled Software Reuse Detection Based on a Multi-Level Birthmark Model

Xi Xu, Qinghua Zheng, Zheng Yan +3

Software reuse, especially partial reuse, poses legal and security threats to software development. Since its source codes are usually unavailable, software reuse is hard to be det…

cs.SE2021★ 1 cited

From Innovations to Prospects: What Is Hidden Behind Cryptocurrencies?

Ang Jia, Ming Fan, Xi Xu +5

The great influence of Bitcoin has promoted the rapid development of blockchain-based digital currencies, especially the altcoins, since 2013. However, most altcoins share similar…

cs.SE2020★ 14 cited

An Empirical Evaluation of GDPR Compliance Violations in Android mHealth Apps

Ming Fan, Le Yu, Sen Chen +6

The purpose of the General Data Protection Regulation (GDPR) is to provide improved privacy protection. If an app controls personal data from users, it needs to be compliant with G…

cs.CR2020★ 5 cited

Can We Trust Your Explanations? Sanity Checks for Interpreters in Android Malware Analysis

Ming Fan, Wenying Wei, Xiaofei Xie +3

With the rapid growth of Android malware, many machine learning-based malware analysis approaches are proposed to mitigate the severe phenomenon. However, such classifiers are opaq…

cs.LG2020★ 3 cited

Can We Mitigate Backdoor Attack Using Adversarial Detection Methods?

Kaidi Jin, Tianwei Zhang, Chao Shen +4

Deep Neural Networks are well known to be vulnerable to adversarial attacks and backdoor attacks, where minor modifications on the input are able to mislead the models to give wron…