Towards a Block-Level Conformer-Based Python Vulnerability Detection

Autor: Amirreza Bagheri, Péter Hegedűs

Publikováno v: Software, Vol 3, Iss 3, Pp 310-327 (2024)

Software vulnerabilities pose a significant threat to computer systems because they can jeopardize the integrity of both software and hardware. The existing tools for detecting vulnerabilities are inadequate. Machine learning algorithms may struggle

Externí odkaz: https://doaj.org/article/1060a86092f345e4b21e2750528ca315

A Comparison of Different Source Code Representation Methods for Vulnerability Prediction in Python

Autor: Péter Hegedűs, Amirreza Bagheri

Publikováno v: Communications in Computer and Information Science ISBN: 9783030853464
QUATIC
Communications in Computer and Information Science
Communications in Computer and Information Science-Quality of Information and Communications Technology
Proceedings of the 14th International Conference on the Quality of Information and Communications Technology (QUATIC 2021)

In the age of big data and machine learning, at a time when the techniques and methods of software development are evolving rapidly, a problem has arisen: programmers can no longer detect all the security flaws and vulnerabilities in their code manua

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6f709ad2f58aec61f028e9cc44af3926
https://doi.org/10.1007/978-3-030-85347-1_20

Quality of Information and Communications Technology : 14th International Conference, QUATIC 2021, Algarve, Portugal, September 8–11, 2021, Proceedings

Autor: Ana C. R. Paiva, Ana Rosa Cavalli, Paula Ventura Martins, Ricardo Pérez-Castillo

This book constitutes the refereed proceedings of the 14th International Conference on the Quality of Information and Communications Technology, QUATIC 2021, held in Algarve, Portugal•, in September 2021.The 30 full papers and 9 short papers were c