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20202022
most citedAn Empirical Evaluation of GDPR Compliance Violations in Android mHealth Apps

14 citations · 23 across the 6 of their papers we have counts for

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Showing cs.SEShow all

5 papers · 1 filter

cs.SE20221 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.SE20212 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.SE20211 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.SE202014 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…