7 papers
QwenSafe: Multimodal Content Rating Description Identification via Preference-Aligned VLMs
Dishanika Denipitiyage, Aruna Seneviratne, Suranga Seneviratne
Mobile app marketplaces require developers to disclose standardized content rating descriptors (CRDs) to inform users about potentially sensitive or restricted content. Ensuring th…
PrivSTRUCT: Untangling Data Purpose Compliance of Privacy Policies in Google Play Store
Bhanuka Silva, Anirban Mahanti, Aruna Seneviratne +1
Existing research typically treats privacy policies as flat, uniform text, extracting information without regard for the document's logical hierarchy. Disregard for structural cues…
PrivPRISM: Automatically Detecting Discrepancies Between Google Play Data Safety Declarations and Developer Privacy Policies
Bhanuka Silva, Dishanika Denipitiyage, Anirban Mahanti +2
End-users seldom read verbose privacy policies, leading app stores like Google Play to mandate simplified data safety declarations as a user-friendly alternative. However, these se…
BERTDetect: A Neural Topic Modelling Approach for Android Malware Detection
Nishavi Ranaweera, Jiarui Xu, Suranga Seneviratne +1
Web access today occurs predominantly through mobile devices, with Android representing a significant share of the mobile device market. This widespread usage makes Android a prime…
Detecting Content Rating Violations in Android Applications: A Vision-Language Approach
D. Denipitiyage, B. Silva, S. Seneviratne +2
Despite regulatory efforts to establish reliable content-rating guidelines for mobile apps, the process of assigning content ratings in the Google Play Store remains self-regulated…
An Empirical Study of Code Obfuscation Practices in the Google Play Store
Akila Niroshan, Suranga Seneviratne, Aruna Seneviratne
The Android ecosystem is vulnerable to issues such as app repackaging, counterfeiting, and piracy, threatening both developers and users. To mitigate these risks, developers often…