Same App, Different Behaviors: Uncovering Device-specific Behaviors in Android Apps
Fuente:
arXiv
Saved in:
| Main Authors: | Dong, Zikan, Zhao, Yanjie, Liu, Tianming, Wang, Chao, Xu, Guosheng, Xu, Guoai, Wang, Haoyu |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
LLM Agents for Automated Web Vulnerability Reproduction: Are We There Yet?
by: Liu, Bin, et al.
Published: (2025)
by: Liu, Bin, et al.
Published: (2025)
A Dual-Loop Agent Framework for Automated Vulnerability Reproduction
by: Liu, Bin, et al.
Published: (2026)
by: Liu, Bin, et al.
Published: (2026)
Demystifying Device-specific Compatibility Issues in Android Apps
by: Chen, Junfeng, et al.
Published: (2024)
by: Chen, Junfeng, et al.
Published: (2024)
Decoding Secret Memorization in Code LLMs Through Token-Level Characterization
by: Nie, Yuqing, et al.
Published: (2024)
by: Nie, Yuqing, et al.
Published: (2024)
On the (In)Security of Non-resettable Device Identifiers in Custom Android Systems
by: Dong, Zikan, et al.
Published: (2025)
by: Dong, Zikan, et al.
Published: (2025)
LLM App Store Analysis: A Vision and Roadmap
by: Zhao, Yanjie, et al.
Published: (2024)
by: Zhao, Yanjie, et al.
Published: (2024)
Unsafe by Flow: Uncovering Bidirectional Data-Flow Risks in MCP Ecosystem
by: Hou, Xinyi, et al.
Published: (2026)
by: Hou, Xinyi, et al.
Published: (2026)
Detecting Android Malware by Visualizing App Behaviors from Multiple Complementary Views
by: Meng, Zhaoyi, et al.
Published: (2024)
by: Meng, Zhaoyi, 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)
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)
Feedback-Driven Automated Whole Bug Report Reproduction for Android Apps
by: Wang, Dingbang, et al.
Published: (2024)
by: Wang, Dingbang, et al.
Published: (2024)
Exploring Hidden Geographic Disparities in Android Apps
by: Alecci, M., et al.
Published: (2025)
by: Alecci, M., et al.
Published: (2025)
LaQual: A Novel Framework for Automated Evaluation of LLM App Quality
by: Wang, Yan, et al.
Published: (2025)
by: Wang, Yan, et al.
Published: (2025)
Enhancing GUI Exploration Coverage of Android Apps with Deep Link-Integrated Monkey
by: Hu, Han, et al.
Published: (2024)
by: Hu, Han, et al.
Published: (2024)
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)
WaDec: Decompiling WebAssembly Using Large Language Model
by: She, Xinyu, et al.
Published: (2024)
by: She, Xinyu, et al.
Published: (2024)
Voices from the Frontier: A Comprehensive Analysis of the OpenAI Developer Forum
by: Hou, Xinyi, et al.
Published: (2024)
by: Hou, Xinyi, et al.
Published: (2024)
LDMDroid: Leveraging LLMs for Detecting Data Manipulation Errors in Android Apps
by: Xiao, Xiangyang, et al.
Published: (2026)
by: Xiao, Xiangyang, 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)
A Big Step Forward? A User-Centric Examination of iOS App Privacy Report and Enhancements
by: Wang, Liu, et al.
Published: (2025)
by: Wang, Liu, et al.
Published: (2025)
CI/CD Configuration Practices in Open-Source Android Apps: An Empirical Study
by: Ghaleb, Taher A., et al.
Published: (2024)
by: Ghaleb, Taher A., et al.
Published: (2024)
Automated Test Transfer Across Android Apps Using Large Language Models
by: Beyzaei, Benyamin, et al.
Published: (2024)
by: Beyzaei, Benyamin, et al.
Published: (2024)
GPTZoo: A Large-scale Dataset of GPTs for the Research Community
by: Hou, Xinyi, et al.
Published: (2024)
by: Hou, Xinyi, et al.
Published: (2024)
Large Language Model Supply Chain: A Research Agenda
by: Wang, Shenao, et al.
Published: (2024)
by: Wang, Shenao, et al.
Published: (2024)
Same Signal, Different Semantics: A Cross-Framework Behavioral Analysis of Software Engineering Agents
by: Ma, Wei, et al.
Published: (2026)
by: Ma, Wei, et al.
Published: (2026)
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)
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)
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)
ARAP: Demystifying Anti Runtime Analysis Code in Android Apps
by: Suo, Dewen, et al.
Published: (2024)
by: Suo, Dewen, et al.
Published: (2024)
Evaluating Large Language Models in detecting Secrets in Android Apps
by: Alecci, Marco, et al.
Published: (2025)
by: Alecci, Marco, et al.
Published: (2025)
Understanding and Detecting Platform-Specific Violations in Android Auto Apps
by: Fakorede, Moshood, et al.
Published: (2025)
by: Fakorede, Moshood, et al.
Published: (2025)
APIGen: Generative API Method Recommendation
by: Chen, Yujia, et al.
Published: (2024)
by: Chen, Yujia, et al.
Published: (2024)
LLM Applications: Current Paradigms and the Next Frontier
by: Hou, Xinyi, et al.
Published: (2025)
by: Hou, Xinyi, et al.
Published: (2025)
Enhancing LLM-Based Bug Reproduction for Android Apps via Pre-Assessment of Visual Effects
by: Xiao, Xiangyang, et al.
Published: (2026)
by: Xiao, Xiangyang, et al.
Published: (2026)
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)
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)
Bridging the Gap Between Domain-specific Frameworks and Multiple Hardware Devices
by: Wen, Xu, et al.
Published: (2024)
by: Wen, Xu, et al.
Published: (2024)
Agent-Based Software Artifact Evaluation
by: Wu, Zhaonan, et al.
Published: (2026)
by: Wu, Zhaonan, et al.
Published: (2026)
Understanding Large Language Model Supply Chain: Structure, Domain, and Vulnerabilities
by: Hu, Yanzhe, et al.
Published: (2025)
by: Hu, Yanzhe, et al.
Published: (2025)
Automatically Detecting Checked-In Secrets in Android Apps: How Far Are We?
by: Li, Kevin, et al.
Published: (2024)
by: Li, Kevin, et al.
Published: (2024)
Similar Items
-
LLM Agents for Automated Web Vulnerability Reproduction: Are We There Yet?
by: Liu, Bin, et al.
Published: (2025) -
A Dual-Loop Agent Framework for Automated Vulnerability Reproduction
by: Liu, Bin, et al.
Published: (2026) -
Demystifying Device-specific Compatibility Issues in Android Apps
by: Chen, Junfeng, et al.
Published: (2024) -
Decoding Secret Memorization in Code LLMs Through Token-Level Characterization
by: Nie, Yuqing, et al.
Published: (2024) -
On the (In)Security of Non-resettable Device Identifiers in Custom Android Systems
by: Dong, Zikan, et al.
Published: (2025)