Tianming Liu

Orcid: 0000-0002-5216-933X

Affiliations:
  • Monash University, Melbourne, Australia


According to our database1, Tianming Liu authored at least 18 papers between 2018 and 2024.

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Bibliography

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

Beyond App Markets: Demystifying Underground Mobile App Distribution Via Telegram.
CoRR, 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

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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