Tianming Liu

Orcid: 0000-0002-5216-933X

Affiliations:
  • Monash University, Melbourne, Australia


According to our database1, Tianming Liu authored at least 23 papers between 2018 and 2025.

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Bibliography

2025
From Assistants to Adversaries: Exploring the Security Risks of Mobile LLM Agents.
CoRR, May, 2025

LLMDroid: Enhancing Automated Mobile App GUI Testing Coverage with Large Language Model Guidance.
Proc. ACM Softw. Eng., 2025

Walls Have Ears: Demystifying Notification Listener Usage in Android Apps.
Proc. ACM Softw. Eng., 2025

Are iOS Apps Immune to Abusive Advertising Practices?
Proceedings of the 33rd ACM International Conference on the Foundations of Software Engineering, 2025

2024
Beyond App Markets: Demystifying Underground Mobile App Distribution Via Telegram.
Proc. ACM Meas. Anal. Comput. Syst., December, 2024

WalletRadar: towards automating the detection of vulnerabilities in browser-based cryptocurrency wallets.
Autom. Softw. Eng., June, 2024

Same App, Different Behaviors: Uncovering Device-specific Behaviors in Android Apps.
CoRR, 2024

Exploring Covert Third-party Identifiers through External Storage in the Android New Era.
Proceedings of the 33rd USENIX Security Symposium, 2024

ChatGPT Chats Decoded: Uncovering Prompt Patterns for Superior Solutions in Software Development Lifecycle.
Proceedings of the 21st IEEE/ACM International Conference on Mining Software Repositories, 2024

A First Look at LLM-powered Smartphones.
Proceedings of the 39th IEEE/ACM International Conference on Automated Software Engineering Workshops, 2024

Same App, Different Behaviors: Uncovering Device-specific Behaviors in Android Apps.
Proceedings of the 39th IEEE/ACM International Conference on Automated Software Engineering, 2024

2023
Are Mobile Advertisements in Compliance with App's Age Group?
Proceedings of the ACM Web Conference 2023, 2023

2022
A Systematic Assessment on Android Third-Party Library Detection Tools.
IEEE Trans. Software Eng., 2022

Research on Third-Party Libraries in Android Apps: A Taxonomy and Systematic Literature Review.
IEEE Trans. Software Eng., 2022

Dataset Bias in Android Malware Detection.
CoRR, 2022

PROMAL: Precise Window Transition Graphs for Android via Synergy of Program Analysis and Machine Learning.
Proceedings of the 44th IEEE/ACM 44th International Conference on Software Engineering, 2022

2021
Research on Third-Party Libraries in AndroidApps: A Taxonomy and Systematic LiteratureReview.
CoRR, 2021

ATVHUNTER: Reliable Version Detection of Third-Party Libraries for Vulnerability Identification in Android Applications.
Proceedings of the 43rd IEEE/ACM International Conference on Software Engineering, 2021

2020
MadDroid: Characterising and Detecting Devious Ad Content for Android Apps.
CoRR, 2020

MadDroid: Characterizing and Detecting Devious Ad Contents for Android Apps.
Proceedings of the WWW '20: The Web Conference 2020, Taipei, Taiwan, April 20-24, 2020, 2020

Automated Third-Party Library Detection for Android Applications: Are We There Yet?
Proceedings of the 35th IEEE/ACM International Conference on Automated Software Engineering, 2020

2019
DaPanda: Detecting Aggressive Push Notifications in Android Apps.
Proceedings of the 34th IEEE/ACM International Conference on Automated Software Engineering, 2019

2018
FraudDroid: automated ad fraud detection for Android apps.
Proceedings of the 2018 ACM Joint Meeting on European Software Engineering Conference and Symposium on the Foundations of Software Engineering, 2018


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