Sen Chen
Orcid: 0000-0001-9477-4100Affiliations:
- Tianjin University, College of Intelligence and Computing, Tianjin, China
According to our database1,
Sen Chen
authored at least 74 papers
between 2016 and 2024.
Collaborative distances:
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Bibliography
2024
Does the Vulnerability Threaten Our Projects? Automated Vulnerable API Detection for Third-Party Libraries.
IEEE Trans. Software Eng., November, 2024
Static Application Security Testing (SAST) Tools for Smart Contracts: How Far Are We?
Proc. ACM Softw. Eng., 2024
CoRR, 2024
A Comprehensive Study on Static Application Security Testing (SAST) Tools for Android.
CoRR, 2024
FineWAVE: Fine-Grained Warning Verification of Bugs for Automated Static Analysis Tools.
CoRR, 2024
Unmasking the Lurking: Malicious Behavior Detection for IoT Malware with Multi-label Classification.
Proceedings of the 25th ACM SIGPLAN/SIGBED International Conference on Languages, 2024
Proceedings of the 33rd ACM SIGSOFT International Symposium on Software Testing and Analysis, 2024
PatchFinder: A Two-Phase Approach to Security Patch Tracing for Disclosed Vulnerabilities in Open-Source Software.
Proceedings of the 33rd ACM SIGSOFT International Symposium on Software Testing and Analysis, 2024
2023
ArgusDroid: detecting Android malware variants by mining permission-API knowledge graph.
Sci. China Inf. Sci., September, 2023
IEEE Trans. Software Eng., March, 2023
IEEE Trans. Software Eng., February, 2023
Towards Understanding and Mitigating Audio Adversarial Examples for Speaker Recognition.
IEEE Trans. Dependable Secur. Comput., 2023
Frontiers Comput. Sci., 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
Proceedings of the 38th IEEE/ACM International Conference on Automated Software Engineering, 2023
Proceedings of the 38th IEEE/ACM International Conference on Automated Software Engineering, 2023
Proceedings of the 38th IEEE/ACM International Conference on Automated Software Engineering, 2023
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
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
IEEE Trans. Software Eng., 2022
IEEE Trans. Software Eng., 2022
ACM Trans. Softw. Eng. Methodol., 2022
CoRR, 2022
Towards characterizing bug fixes through dependency-level changes in Apache Java open source projects.
Sci. China Inf. Sci., 2022
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
Proceedings of the 37th IEEE/ACM International Conference on Automated Software Engineering, 2022
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
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
IEEE Trans. Dependable Secur. Comput., 2021
Advanced evasion attacks and mitigations on practical ML-based phishing website classifiers.
Int. J. Intell. Syst., 2021
Research on Third-Party Libraries in AndroidApps: A Taxonomy and Systematic LiteratureReview.
CoRR, 2021
Proceedings of the International Symposium on Theoretical Aspects of Software Engineering, 2021
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
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
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
Proceedings of the 35th IEEE/ACM International Conference on Automated Software Engineering, 2020
Proceedings of the 31st IEEE International Symposium on Software Reliability Engineering, 2020
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
Proceedings of the 41st International Conference on Software Engineering: Software Engineering in Practice, 2019
Proceedings of the 41st International Conference on Software Engineering, 2019
Proceedings of the 24th International Conference on Engineering of Complex Computer Systems, 2019
2018
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
Proceedings of the 2018 ACM Joint Meeting on European Software Engineering Conference and Symposium on the Foundations of Software Engineering, 2018
Proceedings of the 33rd ACM/IEEE International Conference on Automated Software Engineering, 2018
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
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
Proceedings of the 23rd Asia-Pacific Software Engineering Conference, 2016