Ferenc, Rudolf, Hegedűs, Péter, Gyimesi, Péter, Antal, Gábor, Bán, Dénes, Gyimóthy, Tibor:
Challenging machine learning algorithms in predicting vulnerable javascript functions.
In:
7th IEEE/ACM International Workshop on Realizing Artificial Intelligence Synergies in Software Engineering, RAISE 2019.
Institute of Electrical and Electronics Engineers Inc., pp. 8-14.
(2019)
ISBN 9781728122724
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FHG19-Challenging20Machine20Learning20Algorithms20in20Predicting20Vulnerable20JavaScript20Functions.pdf - Published Version Closed access: Repository staff only Download (388kB) | Request a copy |
| Item Type: | Book Section |
|---|---|
| Date: | 2019 |
| Number of Pages: | 7 |
| Page Range: | pp. 8-14 |
| ISBN: | 9781728122724 |
| Publisher: | Institute of Electrical and Electronics Engineers Inc. |
| Faculty: | Faculty of Science and Informatics |
| Institution: | Szegedi Tudományegyetem |
| MTMT id: | 30881323 |
| DOI id: | https://doi.org/10.1109/RAISE.2019.00010 |
| Date Deposited: | 2019. Nov. 22. 12:34 |
| Last Modified: | 2019. Nov. 22. 12:34 |
| URI: | http://publicatio.bibl.u-szeged.hu/id/eprint/17461 |
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