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)

A Convolutional Transformation Network for Malware Classification. - Duc-Ly Vu; Trong-Kha Nguyen; Tam V. Nguyen 002; Tu N. Nguyen 001; Fabio Massacci; Phu H. Phung (CoRR, 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 Qualitative Study of Dependency Management and Its Security Implications. - Ivan Pashchenko; Duc-Ly Vu; Fabio Massacci (CCS, 2020)

Towards Using Source Code Repositories to Identify Software Supply Chain Attacks. - Duc-Ly Vu; Ivan Pashchenko; Fabio Massacci; Henrik Plate; Antonino Sabetta (CCS, 2020)

Typosquatting and Combosquatting Attacks on the Python Ecosystem. - Duc-Ly Vu; Ivan Pashchenko; Fabio Massacci; Henrik Plate; Antonino Sabetta (EuroS&P Workshops, 2020)

Preliminary findings on FOSS dependencies and security: a qualitative study on developers' attitudes and experience. - Ivan Pashchenko; Duc-Ly Vu; Fabio Massacci (ICSE (Companion Volume), 2020)

HIT4Mal: Hybrid image transformation for malware classification. - Duc-Ly Vu; Trong-Kha Nguyen; Tam V. Nguyen 002; Tu N. Nguyen 001; Fabio Massacci; Phu H. Phung (Trans. Emerg. Telecommun. Technol., 2020)

Please hold on: more time = more patches? Automated program repair as anytime algorithms. - Duc-Ly Vu; Ivan Pashchenko; Fabio Massacci (APR@ICSE, 2021)

py2src: Towards the Automatic (and Reliable) Identification of Sources for PyPI Package. - Duc-Ly Vu (ASE, 2021)

LastPyMile: identifying the discrepancy between sources and packages. - Duc-Ly Vu; Fabio Massacci; Ivan Pashchenko; Henrik Plate; Antonino Sabetta (ESEC/SIGSOFT FSE, 2021)

Code Analysis Tables for Developers Interviews on Dependencies Paper. - Ivan Pashchenko; Duc-Ly Vu; Fabio Massacci (Zenodo, 2021)

Code Analysis Tables for Developers Interviews on Dependencies Paper. - Ivan Pashchenko; Duc-Ly Vu; Fabio Massacci (Zenodo, 2021)

On the feasibility of detecting injections in malicious npm packages. - Simone Scalco; Ranindya Paramitha; Duc-Ly Vu; Fabio Massacci (ARES, 2022)

A Benchmark Comparison of Python Malware Detection Approaches. - Duc-Ly Vu; Zachary Newman; John Speed Meyers (CoRR, 2022)

Bad Snakes: Understanding and Improving Python Package Index Malware Scanning. - Duc-Ly Vu; Zachary Newman; John Speed Meyers (ICSE, 2023)

A Study of Malware Prevention in Linux Distributions. - Duc-Ly Vu; Trevor Dunlap; Karla Obermeier-Velazquez; Paul Gibert; John Speed Meyers; Santiago Torres-Arias (CoRR, 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., 2024)