Duc Ly Vu

Orcid: 0000-0002-5445-2729

According to our database1, Duc Ly Vu authored at least 12 papers between 2019 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
APR4Vul: an empirical study of automatic program repair techniques on real-world Java vulnerabilities.
Empir. Softw. Eng., February, 2024

2022
On the feasibility of detecting injections in malicious npm packages.
Proceedings of the ARES 2022: The 17th International Conference on Availability, Reliability and Security, Vienna,Austria, August 23, 2022

2021
LastPyMile: identifying the discrepancy between sources and packages.
Proceedings of the ESEC/FSE '21: 29th ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering, 2021

py2src: Towards the Automatic (and Reliable) Identification of Sources for PyPI Package.
Proceedings of the 36th IEEE/ACM International Conference on Automated Software Engineering, 2021

Please hold on: more time = more patches? Automated program repair as anytime algorithms.
Proceedings of the 2nd IEEE/ACM International Workshop on Automated Program Repair, 2021

2020
HIT4Mal: Hybrid image transformation for malware classification.
Trans. Emerg. Telecommun. Technol., 2020

Preliminary findings on FOSS dependencies and security: a qualitative study on developers' attitudes and experience.
Proceedings of the ICSE '20: 42nd International Conference on Software Engineering, Companion Volume, Seoul, South Korea, 27 June, 2020

Typosquatting and Combosquatting Attacks on the Python Ecosystem.
Proceedings of the IEEE European Symposium on Security and Privacy Workshops, 2020

Towards Using Source Code Repositories to Identify Software Supply Chain Attacks.
Proceedings of the CCS '20: 2020 ACM SIGSAC Conference on Computer and Communications Security, 2020

A Qualitative Study of Dependency Management and Its Security Implications.
Proceedings of the CCS '20: 2020 ACM SIGSAC Conference on Computer and Communications Security, 2020

2019
Mac-A-Mal: macOS malware analysis framework resistant to anti evasion techniques.
J. Comput. Virol. Hacking Tech., 2019

A Convolutional Transformation Network for Malware Classification.
CoRR, 2019


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