Sen Chen

Orcid: 0000-0001-9477-4100

Affiliations:
  • Tianjin University, College of Intelligence and Computing, Tianjin, China


According to our database1, Sen Chen authored at least 66 papers between 2016 and 2024.

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Bibliography

2024
FineWAVE: Fine-Grained Warning Verification of Bugs for Automated Static Analysis Tools.
CoRR, 2024

2023
ArgusDroid: detecting Android malware variants by mining permission-API knowledge graph.
Sci. China Inf. Sci., September, 2023

Demystifying Performance Regressions in String Solvers.
IEEE Trans. Software Eng., March, 2023

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

Software Composition Analysis for Vulnerability Detection: An Empirical Study on Java Projects.
Proceedings of the 31st ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering, 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

EndWatch: A Practical Method for Detecting Non-Termination in Real-World Software.
Proceedings of the 38th IEEE/ACM International Conference on Automated 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

A Comprehensive Study on Quality Assurance Tools for Java.
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

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

ATOM: Commit Message Generation Based on Abstract Syntax Tree and Hybrid Ranking.
IEEE Trans. Software Eng., 2022

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

Detecting and Augmenting Missing Key Aspects in Vulnerability Descriptions.
ACM Trans. Softw. Eng. Methodol., 2022

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

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

Large-scale analysis of non-termination bugs in real-world OSS projects.
Proceedings of the 30th ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering, 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

Towards Understanding the Faults of JavaScript-Based Deep Learning Systems.
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

Can Deep Learning Models Learn the Vulnerable Patterns for Vulnerability Detection?
Proceedings of the 46th IEEE Annual Computers, Software, and Applications Conferenc, 2022

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

A Performance-Sensitive Malware Detection System Using Deep Learning on Mobile Devices.
IEEE Trans. Inf. Forensics Secur., 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

Inferring Loop Invariants for Multi-Path Loops.
Proceedings of the International Symposium on Theoretical Aspects of Software Engineering, 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

Predicting Entity Relations across Different Security Databases by Using Graph Attention Network.
Proceedings of the IEEE 45th Annual Computers, Software, and Applications Conference, 2021

Key Aspects Augmentation of Vulnerability Description based on Multiple Security Databases.
Proceedings of the IEEE 45th Annual Computers, Software, and Applications Conference, 2021

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

2020
SeqMobile: A Sequence Based Efficient Android Malware Detection System Using RNN on Mobile Devices.
CoRR, 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

iOS, Your OS, Everybody's OS: Vetting and Analyzing Network Services of iOS Applications.
Proceedings of the 29th USENIX Security Symposium, 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 Evaluation of GDPR Compliance Violations in Android mHealth Apps.
Proceedings of the 31st IEEE International Symposium on Software Reliability 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

SeqMobile: An Efficient Sequence-Based Malware Detection System Using RNN on Mobile Devices.
Proceedings of the 25th International Conference on Engineering of Complex Computer Systems, 2020

2019
An Empirical Study Towards Characterizing Deep Learning Development and Deployment Across Different Frameworks and Platforms.
Proceedings of the 34th IEEE/ACM International Conference on Automated Software Engineering, 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

MobiDroid: A Performance-Sensitive Malware Detection System on Mobile Platform.
Proceedings of the 24th International Conference on Engineering of Complex Computer Systems, 2019

2018
Secure Deep Learning Engineering: A Software Quality Assurance Perspective.
CoRR, 2018

AUSERA: Large-Scale Automated Security Risk Assessment of Global Mobile Banking Apps.
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
Towards adversarial detection of mobile malware: poster.
Proceedings of the 22nd Annual International Conference on Mobile Computing and Networking, 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

StormDroid: A Streaminglized Machine Learning-Based System for Detecting Android Malware.
Proceedings of the 11th ACM on Asia 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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