Lingling Fan

Orcid: 0000-0002-2428-9297

Affiliations:
  • Nankai University, College of Cyber Science, Jinnan, China
  • Nanyang Technological University, School of Computer Science and Engineering, Singapore
  • East China Normal University, Shanghai, China (PhD 2019)


According to our database1, Lingling Fan authored at least 48 papers between 2016 and 2023.

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Timeline

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Bibliography

2023
Automatically Distilling Storyboard With Rich Features for Android Apps.
IEEE Trans. Software Eng., February, 2023

LiDetector: License Incompatibility Detection for Open Source Software.
ACM Trans. Softw. Eng. Methodol., January, 2023

Towards Understanding and Mitigating Audio Adversarial Examples for Speaker Recognition.
IEEE Trans. Dependable Secur. Comput., 2023

VenomAttack: automated and adaptive activity hijacking in Android.
Frontiers Comput. Sci., 2023

An Empirical Study of Bugs in Open-Source Federated Learning Framework.
CoRR, 2023

Automated and Context-Aware Repair of Color-Related Accessibility Issues for Android Apps.
Proceedings of the 31st ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering, 2023

Comparison and Evaluation on Static Application Security Testing (SAST) Tools for Java.
Proceedings of the 31st ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering, 2023

Mitigating Persistence of Open-Source Vulnerabilities in Maven Ecosystem.
Proceedings of the 38th IEEE/ACM International Conference on Automated Software Engineering, 2023

Scene-Driven Exploration and GUI Modeling for Android Apps.
Proceedings of the 38th IEEE/ACM International Conference on Automated Software Engineering, 2023

LiResolver: License Incompatibility Resolution for Open Source Software.
Proceedings of the 32nd ACM SIGSOFT International Symposium on Software Testing and Analysis, 2023

Compatible Remediation on Vulnerabilities from Third-Party Libraries for Java Projects.
Proceedings of the 45th IEEE/ACM International Conference on Software Engineering, 2023

A Web-Based Tool for Using Storyboard of Android Apps.
Proceedings of the 45th IEEE/ACM International Conference on Software Engineering: ICSE 2023 Companion Proceedings, 2023

Compatibility Issue Detection for Android Apps Based on Path-Sensitive Semantic Analysis.
Proceedings of the 45th IEEE/ACM International Conference on Software Engineering, 2023

Towards Efficient Data-Flow Test Data Generation.
Proceedings of the Theories of Programming and Formal Methods, 2023

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

Why My App Crashes? Understanding and Benchmarking Framework-Specific Exceptions of Android Apps.
IEEE Trans. Software Eng., 2022

Accessible or Not? An Empirical Investigation of Android App Accessibility.
IEEE Trans. Software Eng., 2022

DeepSuite: A Test Suite Optimizer for Autonomous Vehicles.
IEEE Trans. Intell. Transp. Syst., 2022

AS2T: Arbitrary Source-To-Target Adversarial Attack on Speaker Recognition Systems.
CoRR, 2022

LiDetector: License Incompatibility Detection for Open Source Software.
CoRR, 2022

Towards characterizing bug fixes through dependency-level changes in Apache Java open source projects.
Sci. China Inf. Sci., 2022

Has My Release Disobeyed Semantic Versioning? Static Detection Based on Semantic Differencing.
Proceedings of the 37th IEEE/ACM International Conference on Automated Software Engineering, 2022

AUSERA: Automated Security Vulnerability Detection for Android Apps.
Proceedings of the 37th IEEE/ACM International Conference on Automated Software Engineering, 2022

Demystifying the Vulnerability Propagation and Its Evolution via Dependency Trees in the NPM Ecosystem.
Proceedings of the 44th IEEE/ACM 44th International Conference on Software Engineering, 2022

2021
Why an Android App Is Classified as Malware: Toward Malware Classification Interpretation.
ACM Trans. Softw. Eng. Methodol., 2021

GUI-Squatting Attack: Automated Generation of Android Phishing Apps.
IEEE Trans. Dependable Secur. Comput., 2021

Advanced evasion attacks and mitigations on practical ML-based phishing website classifiers.
Int. J. Intell. Syst., 2021

SEC4SR: A Security Analysis Platform for Speaker Recognition.
CoRR, 2021

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

Who is Real Bob? Adversarial Attacks on Speaker Recognition Systems.
Proceedings of the 42nd IEEE Symposium on Security and Privacy, 2021

Peeking into the Gray Area of Mobile World: An Empirical Study of Unlabeled Android Apps.
Proceedings of the 32nd IEEE International Symposium on Software Reliability Engineering, 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

IconChecker: Anomaly Detection of Icon-Behaviors for Android Apps.
Proceedings of the 28th Asia-Pacific Software Engineering Conference, 2021

2020
Why an Android App is Classified as Malware? Towards Malware Classification Interpretation.
CoRR, 2020

CORE: Automating Review Recommendation for Code Changes.
Proceedings of the 27th IEEE International Conference on Software Analysis, 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

An empirical assessment of security risks of global Android banking apps.
Proceedings of the ICSE '20: 42nd International Conference on Software Engineering, Seoul, South Korea, 27 June, 2020

2019
A large-scale empirical study on industrial fake apps.
Proceedings of the 41st International Conference on Software Engineering: Software Engineering in Practice, 2019

StoryDroid: automated generation of storyboard for Android apps.
Proceedings of the 41st International Conference on Software Engineering, 2019

2018
AUSERA: Large-Scale Automated Security Risk Assessment of Global Mobile Banking Apps.
CoRR, 2018

Towards Efficient Data-flow Test Data Generation.
CoRR, 2018

Automated poisoning attacks and defenses in malware detection systems: An adversarial machine learning approach.
Comput. Secur., 2018

Are mobile banking apps secure? what can be improved?
Proceedings of the 2018 ACM Joint Meeting on European Software Engineering Conference and Symposium on the Foundations of Software Engineering, 2018

Efficiently manifesting asynchronous programming errors in Android apps.
Proceedings of the 33rd ACM/IEEE International Conference on Automated Software Engineering, 2018

Large-scale analysis of framework-specific exceptions in Android apps.
Proceedings of the 40th International Conference on Software Engineering, 2018

2017
Hardening Malware Detection Systems Against Cyber Maneuvers: An Adversarial Machine Learning Approach.
CoRR, 2017

2016
POSTER: Accuracy vs. Time Cost: Detecting Android Malware through Pareto Ensemble Pruning.
Proceedings of the 2016 ACM SIGSAC Conference on Computer and Communications Security, 2016

Model-Based Continuous Verification.
Proceedings of the 23rd Asia-Pacific Software Engineering Conference, 2016


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