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Duc-Ly Vu
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2020 – today
- 2024
- [j4]Quang-Cuong Bui
, Ranindya Paramitha
APR4Vul: an empirical study of automatic program repair techniques on real-world Java vulnerabilities. Empir. Softw. Eng. 29(1): 18 (2024) - 2023
- [c9]Duc-Ly Vu, Zachary Newman, John Speed Meyers:
Bad Snakes: Understanding and Improving Python Package Index Malware Scanning. ICSE 2023: 499-511 - 2022
- [c8]Simone Scalco
On the feasibility of detecting injections in malicious npm packages. ARES 2022: 115:1-115:8 - [i2]Duc-Ly Vu, Zachary Newman, John Speed Meyers:
A Benchmark Comparison of Python Malware Detection Approaches. CoRR abs/2209.13288 (2022) - 2021
- [c7]Duc-Ly Vu, Ivan Pashchenko
Please hold on: more time = more patches? Automated program repair as anytime algorithms. APR@ICSE 2021: 9-10 - [c6]Duc-Ly Vu:
py2src: Towards the Automatic (and Reliable) Identification of Sources for PyPI Package. ASE 2021: 1394-1396 - [c5]Duc-Ly Vu
LastPyMile: identifying the discrepancy between sources and packages. ESEC/SIGSOFT FSE 2021: 780-792 - [d2]Ivan Pashchenko
Code Analysis Tables for Developers Interviews on Dependencies Paper. Version 1. Zenodo, 2021 [all versions] - [d1]Ivan Pashchenko
Code Analysis Tables for Developers Interviews on Dependencies Paper. Version 1. Zenodo, 2021 [all versions] - 2020
- [j3]Duc-Ly Vu
HIT4Mal: Hybrid image transformation for malware classification. Trans. Emerg. Telecommun. Technol. 31(11) (2020) - [c4]Ivan Pashchenko
A Qualitative Study of Dependency Management and Its Security Implications. CCS 2020: 1513-1531 - [c3]Duc-Ly Vu
Towards Using Source Code Repositories to Identify Software Supply Chain Attacks. CCS 2020: 2093-2095 - [c2]Duc-Ly Vu
Typosquatting and Combosquatting Attacks on the Python Ecosystem. EuroS&P Workshops 2020: 509-514 - [c1]Ivan Pashchenko
Preliminary findings on FOSS dependencies and security: a qualitative study on developers' attitudes and experience. ICSE (Companion Volume) 2020: 284-285
2010 – 2019
- 2019
- [j2]Duy-Phuc Pham
Mac-A-Mal: macOS malware analysis framework resistant to anti evasion techniques. J. Comput. Virol. Hacking Tech. 15(4): 249-257 (2019) - [i1]Duc-Ly Vu, Trong-Kha Nguyen, Tam V. Nguyen, Tu N. Nguyen, Fabio Massacci, Phu H. Phung:
A Convolutional Transformation Network for Malware Classification. CoRR abs/1909.07227 (2019) - 2018
- [j1]Trong-Kha Nguyen, Duc-Ly Vu
An efficient neural network model for time series forecasting of malware. J. Intell. Fuzzy Syst. 35(6): 6089-6100 (2018)
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last updated on 2024-08-17 23:42 CEST by the dblp team
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