Duc-Ly Vu

According to our database, Duc-Ly Vu authored at least 17 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

APR4Vul: an empirical study of automatic program repair techniques on real-world Java vulnerabilities.

Quang-Cuong Bui, Ranindya Paramitha, Duc-Ly Vu, Fabio Massacci, Riccardo Scandariato

Empir. Softw. Eng., February, 2024

2023

Bad Snakes: Understanding and Improving Python Package Index Malware Scanning.

Duc-Ly Vu, Zachary Newman, John Speed Meyers

Proceedings of the 45th IEEE/ACM International Conference on Software Engineering, 2023

2022

A Benchmark Comparison of Python Malware Detection Approaches.

Duc-Ly Vu, Zachary Newman, John Speed Meyers

CoRR, 2022

On the feasibility of detecting injections in malicious npm packages.

Simone Scalco, Ranindya Paramitha, Duc-Ly Vu, Fabio Massacci

Proceedings of the ARES 2022: The 17th International Conference on Availability, Reliability and Security, Vienna,Austria, August 23, 2022

2021

Code Analysis Tables for Developers Interviews on Dependencies Paper.

Ivan Pashchenko, Duc-Ly Vu, Fabio Massacci

Dataset, November, 2021

Code Analysis Tables for Developers Interviews on Dependencies Paper.

Ivan Pashchenko, Duc-Ly Vu, Fabio Massacci

Dataset, November, 2021

LastPyMile: identifying the discrepancy between sources and packages.

Duc-Ly Vu, Fabio Massacci, Ivan Pashchenko, Henrik Plate, Antonino Sabetta

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.

Duc-Ly Vu

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.

Duc-Ly Vu, Ivan Pashchenko, Fabio Massacci

Proceedings of the 2nd IEEE/ACM International Workshop on Automated Program Repair, 2021

2020

HIT4Mal: Hybrid image transformation for malware classification.

Duc-Ly Vu, Trong-Kha Nguyen, Tam V. Nguyen, Tu N. Nguyen, Fabio Massacci, Phu H. Phung

Trans. Emerg. Telecommun. Technol., 2020

Preliminary findings on FOSS dependencies and security: a qualitative study on developers' attitudes and experience.

Ivan Pashchenko, Duc-Ly Vu, Fabio Massacci

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.

Duc-Ly Vu, Ivan Pashchenko, Fabio Massacci, Henrik Plate, Antonino Sabetta

Proceedings of the IEEE European Symposium on Security and Privacy Workshops, 2020

Towards Using Source Code Repositories to Identify Software Supply Chain Attacks.

Duc-Ly Vu, Ivan Pashchenko, Fabio Massacci, Henrik Plate, Antonino Sabetta

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.

Ivan Pashchenko, Duc-Ly Vu, Fabio Massacci

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.

Duy-Phuc Pham, Duc-Ly Vu, Fabio Massacci

J. Comput. Virol. Hacking Tech., 2019

A Convolutional Transformation Network for Malware Classification.

Duc-Ly Vu, Trong-Kha Nguyen, Tam V. Nguyen, Tu N. Nguyen, Fabio Massacci, Phu H. Phung

CoRR, 2019

2018

An efficient neural network model for time series forecasting of malware.

Trong-Kha Nguyen, Duc-Ly Vu, Seong Oun Hwang

J. Intell. Fuzzy Syst., 2018