Saved in:
| Main Authors: | Hu, Qi, Liu, Jiangchao, Yu, Xin, Zhang, Lin, Jiang, Edward |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2512.21555 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
AgentDroid: A Multi-Agent Framework for Detecting Fraudulent Android Applications
by: Pan, Ruwei, et al.
Published: (2025)
by: Pan, Ruwei, et al.
Published: (2025)
TraceRAG: A LLM-Based Framework for Explainable Android Malware Detection and Behavior Analysis
by: Zhang, Guangyu, et al.
Published: (2025)
by: Zhang, Guangyu, et al.
Published: (2025)
Bamboo: LLM-Driven Discovery of API-Permission Mappings in the Android Framework
by: Hu, Han, et al.
Published: (2025)
by: Hu, Han, et al.
Published: (2025)
A Rule-Based Approach for UI Migration from Android to iOS
by: Gao, Yi, et al.
Published: (2024)
by: Gao, Yi, et al.
Published: (2024)
Diagnosing and Resolving Android Applications Building Issues: An Empirical Study
by: Bodepudi, Lakshmi Priya, et al.
Published: (2025)
by: Bodepudi, Lakshmi Priya, et al.
Published: (2025)
Characterizing Bugs in Login Processes of Android Applications: An Empirical Study
by: Zhou, Zixu, et al.
Published: (2025)
by: Zhou, Zixu, et al.
Published: (2025)
Automated Repair of Resource Leaks in Android Applications
by: Bhatt, Bhargav Nagaraja, et al.
Published: (2020)
by: Bhatt, Bhargav Nagaraja, et al.
Published: (2020)
A Study of Using Multimodal LLMs for Non-Crash Functional Bug Detection in Android Apps
by: Ju, Bangyan, et al.
Published: (2024)
by: Ju, Bangyan, et al.
Published: (2024)
GDPR-Bench-Android: A Benchmark for Evaluating Automated GDPR Compliance Detection in Android
by: Ran, Huaijin, et al.
Published: (2025)
by: Ran, Huaijin, et al.
Published: (2025)
Towards Understanding Android APIs: Official Lists, Vendor Customizations, and Real-World Usage
by: Wang, Sinan, et al.
Published: (2026)
by: Wang, Sinan, et al.
Published: (2026)
Which Code Statements Implement Privacy Behaviors in Android Applications?
by: Su, Chia-Yi, et al.
Published: (2025)
by: Su, Chia-Yi, et al.
Published: (2025)
Automated Generation of High-Quality Bug Reports for Android Applications
by: Saha, Antu, et al.
Published: (2026)
by: Saha, Antu, et al.
Published: (2026)
AutoDroid: LLM-powered Task Automation in Android
by: Wen, Hao, et al.
Published: (2023)
by: Wen, Hao, et al.
Published: (2023)
A Comparative Study of Android Performance Issues in Real-world Applications and Literature
by: Liao, Dianshu, et al.
Published: (2024)
by: Liao, Dianshu, et al.
Published: (2024)
A Comprehensive Study on Static Application Security Testing (SAST) Tools for Android
by: Zhu, Jingyun, et al.
Published: (2024)
by: Zhu, Jingyun, et al.
Published: (2024)
MARD: A Multi-Agent Framework for Robust Android Malware Detection
by: Zeng, Xueying, et al.
Published: (2026)
by: Zeng, Xueying, et al.
Published: (2026)
DynamicsLLM: a Dynamic Analysis-based Tool for Generating Intelligent Execution Traces Using LLMs to Detect Android Behavioural Code Smells
by: Cherief, Houcine Abdelkader, et al.
Published: (2026)
by: Cherief, Houcine Abdelkader, et al.
Published: (2026)
Feedback-Driven Automated Whole Bug Report Reproduction for Android Apps
by: Wang, Dingbang, et al.
Published: (2024)
by: Wang, Dingbang, et al.
Published: (2024)
LLM-CompDroid: Repairing Configuration Compatibility Bugs in Android Apps with Pre-trained Large Language Models
by: Liu, Zhijie, et al.
Published: (2024)
by: Liu, Zhijie, et al.
Published: (2024)
LLMAID: Identifying AI Capabilities in Android Apps with LLMs
by: Liu, Pei, et al.
Published: (2025)
by: Liu, Pei, et al.
Published: (2025)
Visualizing Privacy-Relevant Data Flows in Android Applications
by: Khedkar, Mugdha, et al.
Published: (2025)
by: Khedkar, Mugdha, et al.
Published: (2025)
Demystifying Device-specific Compatibility Issues in Android Apps
by: Chen, Junfeng, et al.
Published: (2024)
by: Chen, Junfeng, et al.
Published: (2024)
Assessing the Capability of Android Dynamic Analysis Tools to Combat Anti-Runtime Analysis Techniques
by: Suo, Dewen, et al.
Published: (2025)
by: Suo, Dewen, et al.
Published: (2025)
A Large-scale Investigation of Semantically Incompatible APIs behind Compatibility Issues in Android Apps
by: Pan, Shidong, et al.
Published: (2024)
by: Pan, Shidong, et al.
Published: (2024)
A Pilot Study on LLM-Based Agentic Translation from Android to iOS: Pitfalls and Insights
by: Zeng, Zhili, et al.
Published: (2025)
by: Zeng, Zhili, et al.
Published: (2025)
Exploring Hidden Geographic Disparities in Android Apps
by: Alecci, M., et al.
Published: (2025)
by: Alecci, M., et al.
Published: (2025)
Challenges in Android Data Disclosure: An Empirical Study
by: Khedkar, Mugdha, et al.
Published: (2026)
by: Khedkar, Mugdha, et al.
Published: (2026)
Call Graph Soundness in Android Static Analysis
by: Samhi, Jordan, et al.
Published: (2024)
by: Samhi, Jordan, et al.
Published: (2024)
Anonymizing Test Data in Android: Does It Hurt?
by: Masserini, Elena, et al.
Published: (2024)
by: Masserini, Elena, et al.
Published: (2024)
HardTaint: Production-Run Dynamic Taint Analysis via Selective Hardware Tracing
by: Zhang, Yiyu, et al.
Published: (2024)
by: Zhang, Yiyu, et al.
Published: (2024)
A Comparative Study of Full Apps and Lite Apps for Android
by: Tang, Yutian, et al.
Published: (2025)
by: Tang, Yutian, et al.
Published: (2025)
Breaking Android with AI: A Deep Dive into LLM-Powered Exploitation
by: Perera, Wanni Vidulige Ishan, et al.
Published: (2025)
by: Perera, Wanni Vidulige Ishan, et al.
Published: (2025)
Mind the GAPS: Bridging the GAPS between Targeted Dynamic Analysis and Static Path Reconstruction in Android Apps
by: Doria, Samuele, et al.
Published: (2025)
by: Doria, Samuele, et al.
Published: (2025)
A First Look at Privacy Risks of Android Task-executable Voice Assistant Applications
by: Pan, Shidong, et al.
Published: (2025)
by: Pan, Shidong, et al.
Published: (2025)
Version-level Third-Party Library Detection in Android Applications via Class Structural Similarity
by: Zhou, Bolin, et al.
Published: (2025)
by: Zhou, Bolin, et al.
Published: (2025)
Trace Sampling 2.0: Code Knowledge Enhanced Span-level Sampling for Distributed Tracing
by: Wu, Yulun, et al.
Published: (2025)
by: Wu, Yulun, et al.
Published: (2025)
ReuseDroid: A VLM-empowered Android UI Test Migrator Boosted by Active Feedback
by: Li, Xiaolei, et al.
Published: (2025)
by: Li, Xiaolei, et al.
Published: (2025)
AndroLog: Android Instrumentation and Code Coverage Analysis
by: Samhi, Jordan, et al.
Published: (2024)
by: Samhi, Jordan, et al.
Published: (2024)
Is Your Private Information Logged? An Empirical Study on Android App Logs
by: Chen, Zhiyuan, et al.
Published: (2026)
by: Chen, Zhiyuan, et al.
Published: (2026)
FCGHunter: Towards Evaluating Robustness of Graph-Based Android Malware Detection
by: Song, Shiwen, et al.
Published: (2025)
by: Song, Shiwen, et al.
Published: (2025)
Similar Items
-
AgentDroid: A Multi-Agent Framework for Detecting Fraudulent Android Applications
by: Pan, Ruwei, et al.
Published: (2025) -
TraceRAG: A LLM-Based Framework for Explainable Android Malware Detection and Behavior Analysis
by: Zhang, Guangyu, et al.
Published: (2025) -
Bamboo: LLM-Driven Discovery of API-Permission Mappings in the Android Framework
by: Hu, Han, et al.
Published: (2025) -
A Rule-Based Approach for UI Migration from Android to iOS
by: Gao, Yi, et al.
Published: (2024) -
Diagnosing and Resolving Android Applications Building Issues: An Empirical Study
by: Bodepudi, Lakshmi Priya, et al.
Published: (2025)