Al-Najjar, Ammar Fayez Ali (2022) Enhanced Artificial Neural Network Robustness Against Multiple Adversarial Attacks Using PCA. ['eprint_fieldopt_thesis_type_master' not defined] thesis, Szegedi Tudományegyetem.
![[thumbnail of 2022_al_najjar_ammar_fayez_ali.pdf]](https://diploma.bibl.u-szeged.hu/style/images/fileicons/text.png "2022_al_najjar_ammar_fayez_ali.pdf")
Text2022_al_najjar_ammar_fayez_ali.pdf - Thesis
Restricted to SZTE designated computers only
Download (2MB)
| Item Type: | Thesis (['eprint_fieldopt_thesis_type_master' not defined]) |
|---|---|
| English title: | Enhanced Artificial Neural Network Robustness Against Multiple Adversarial Attacks Using PCA |
| Institution: | Szegedi Tudományegyetem |
| ['eprint_fieldname_faculty' not defined]: | Faculty of Science and Informatics |
| Department: | Számítógépes Algoritmusok és Mesterséges Intelligencia Tanszék |
| ['eprint_fieldname_specialization' not defined]: | programtervező informatikus |
| Discipline: | Natural Sciences |
| Supervisor(s): | Supervisor Supervisor scientific name label Email EHA Megyeri, István UNSPECIFIED UNSPECIFIED UNSPECIFIED |
| Subjects: | 01. Natural sciences |
| Depositing User: | TTIK szerkesztő |
| Date Deposited: | 2023. Aug. 22. 10:18 |
| Last Modified: | 2023. Oct. 26. 10:05 |
| URI: | https://diploma.bibl.u-szeged.hu/id/eprint/136221 |
Actions (login required)
- View Item
