Toward LLM-Driven GDPR Compliance Checking for Android Apps
Android apps extensively collect sensitive personal data from our devices daily. Despite stringent regulations like the European Union’s General Data Protection Regulation (GDPR), many applications (apps) fail to comply with these legal requirements. While previous studies have focused on the compliance of privacy policies, checking how these policies are implemented in the actual code has not yet been extensively investigated. Moreover, previous efforts have often been limited in scope. This paper explores the potential of Large Language Models (LLMs) to address the challenge of verifying privacy regulation compliance in Android apps. Specifically, we address scenarios where source code is unavailable by investigating whether LLM can work with Smali code—a human-readable representation of Android bytecode extracted from APK files. Through this exploratory investigation, we aim to uncover if LLMs can bridge the gap between legal privacy requirements and their technical implementation in mobile apps. Through initial experiments, we assess the feasibility and effectiveness of a straightforward LLM-driven method for identifying compliance issues and provide directions for our future research efforts to improve our approach and perform large-scale experiments.
Mon 23 JunDisplayed time zone: Amsterdam, Berlin, Bern, Rome, Stockholm, Vienna change
16:00 - 18:00 | Mobile AppsIdeas, Visions and Reflections / Industry Papers / Demonstrations / Research Papers / Journal First at Aurora A Chair(s): Kelly Blincoe University of Auckland | ||
16:00 10mTalk | DynDebloater: Dynamically Debloating Unwanted Features of Android Apps without APK Modification Demonstrations Zicheng Zhang School of Computing and Information Systems, Singapore Management University, Jiakun Liu Singapore Management University, Ferdian Thung Singapore Management University, Xing Hu Zhejiang University, Wei Minn Singapore Management University, Yan Naing Tun Singapore Management University, Lwin Khin Shar Singapore Management University, David Lo Singapore Management University, Debin Gao Singapore Management University | ||
16:10 20mTalk | HapRepair: Learn to Repair OpenHarmony Apps Industry Papers Zhihao Lin , Mingyi Zhou Beihang University, Wei Ma , chichen , Yun Yang Yunnan University, Jun Wang Post Luxembourg, Chunming Hu Beihang University, Li Li Beihang University File Attached | ||
16:30 20mTalk | Are iOS Apps Immune to Abusive Advertising Practices? Industry Papers Tianming Liu Monash Univerisity, Jiapeng Deng Huazhong University of Science and Technology, Yanjie Zhao Huazhong University of Science and Technology, Xiao Chen University of Newcastle, Xiaoning Du Monash University, Li Li Beihang University, Haoyu Wang Huazhong University of Science and Technology | ||
16:50 10mTalk | Toward LLM-Driven GDPR Compliance Checking for Android Apps Ideas, Visions and Reflections Marco Alecci University of Luxembourg, Nicolas Sannier University of Luxembourg, SnT, Marcello Ceci University of Luxembourg, Sallam Abualhaija University of Luxembourg, Jordan Samhi University of Luxembourg, Luxembourg, Domenico Bianculli University of Luxembourg, Tegawendé F. Bissyandé University of Luxembourg, Jacques Klein University of Luxembourg | ||
17:00 20mTalk | MiniScope: Automated UI Exploration and Privacy Inconsistency Detection of MiniApps via Two-phase Iterative Hybrid Analysis Journal First Shenao Wang Huazhong University of Science and Technology, Yuekang Li UNSW, Kailong Wang Huazhong University of Science and Technology, Yi Liu Nanyang Technological University, Hui Li Samsung Electronics (China) R&D Centre, Yang Liu Nanyang Technological University, Haoyu Wang Huazhong University of Science and Technology | ||
17:20 20mTalk | Temporal-Incremental Learning for Android Malware Detection Journal First Tiezhu Sun University of Luxembourg, Nadia Daoudi Luxembourg Institute of Science and Technology, Weiguo Pian University of Luxembourg, Kisub Kim Singapore Management University, Singapore, Kevin Allix Independent Researcher, Tegawendé F. Bissyandé University of Luxembourg, Jacques Klein University of Luxembourg | ||
17:40 20mTalk | Mitigating Emergent Malware Label Noise in DNN-Based Android Malware Detection Research Papers haodong li Beijing University of Posts and Telecommunications, Xiao Cheng Macquarie University, Guohan Zhang Beijing University of Posts and Telecommunications, Guosheng Xu Beijing University of Posts and Telecommunications, Guoai Xu Harbin Institute of Technology, Shenzhen, Haoyu Wang Huazhong University of Science and Technology DOI | ||
Aurora A is the first room in the Aurora wing.
When facing the main Cosmos Hall, access to the Aurora wing is on the right, close to the side entrance of the hotel.