Hungarian

Applications of Adversarial Robustness Analysis in Machine Learning

Megyeri István
Applications of Adversarial Robustness Analysis in Machine Learning.
Doctoral thesis (PhD), University of Szeged.
(2024)

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Item Type: Thesis (Doctoral thesis (PhD))
Creators: Megyeri István
Supervisor(s):
Supervisor
Position, academic title, institution
MTMT author ID
Jelasity Márk
egyetemi tanár, DSc, Számítógépes Algoritmusok és Mesterséges Intelligencia Tanszék, SZTE-TTIK
10017593
Subjects: 01. Natural sciences > 01.02. Computer and information sciences > 01.02.01. Computer sciences, information science and bioinformatics > 01.02.01.15. Artificial intelligence, intelligent systems, multi agent systems
01. Natural sciences > 01.02. Computer and information sciences > 01.02.01. Computer sciences, information science and bioinformatics > 01.02.01.20. Machine learning, statistical data processing and applications using signal processing
01. Natural sciences > 01.02. Computer and information sciences > 01.02.01. Computer sciences, information science and bioinformatics > 01.02.01.35. Ontologies, neural networks, genetic programming, fuzzy logic
Divisions: Doctoral School of Computer Science
Discipline: Natural Sciences > Mathematics and Computer Sciences
Language: English
Date: 2024. May 16.
Item ID: 11879
MTMT identifier of the thesis: 35670934
doi: https://doi.org/10.14232/phd.11879
Date Deposited: 2023. Aug. 30. 10:09
Last Modified: 2025. Jan. 08. 13:22
Depository no.: B 7432
URI: https://doktori.bibl.u-szeged.hu/id/eprint/11879
Defence/Citable status: Defended.

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