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master's thesis
Suparnički napadi u obradi prirodnog jezika
Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing, 2020. urn:nbn:hr:168:954663
Jukić, Josip
University of Zagreb
Faculty of Electrical Engineering and Computing

Institutional repository: FER Repository

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Jukić, J. (2020). Suparnički napadi u obradi prirodnog jezika (Master's thesis). Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing. Retrieved from https://urn.nsk.hr/urn:nbn:hr:168:954663

Jukić, Josip. "Suparnički napadi u obradi prirodnog jezika." Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2020. https://urn.nsk.hr/urn:nbn:hr:168:954663

Jukić, Josip. "Suparnički napadi u obradi prirodnog jezika." Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2020. https://urn.nsk.hr/urn:nbn:hr:168:954663

Jukić, J. (2020). 'Suparnički napadi u obradi prirodnog jezika', Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, accessed 07 November 2024, https://urn.nsk.hr/urn:nbn:hr:168:954663

Jukić J. Suparnički napadi u obradi prirodnog jezika [Master's thesis]. Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing; 2020 [cited 2024 November 07] Available at: https://urn.nsk.hr/urn:nbn:hr:168:954663

J. Jukić, "Suparnički napadi u obradi prirodnog jezika", Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, Zagreb, 2020. Available at: https://urn.nsk.hr/urn:nbn:hr:168:954663

Metadata
TitleSuparnički napadi u obradi prirodnog jezika
Title (english)Adversarial Attacks in Natural Language Processing
AuthorJosip Jukić
MentorDomagoj Jakobović (mentor)
Committee memberDomagoj Jakobović (predsjednik povjerenstva)
Committee memberMarko Đurasević (član povjerenstva)
Committee memberJan Šnajder (član povjerenstva)
GranterUniversity of Zagreb
Faculty of Electrical Engineering and Computing
Zagreb
Defense date and country2020-07-14, Croatia
Scientific / art field,
discipline and subdiscipline		TECHNICAL SCIENCES
Computing
Abstract
Motivacija za problem izgradnje suparničkih primjera, opisana je u uvodnom poglavlju. Obrada prirodnog jezika i koncepti suparničkih napada ukratko su opisani. Glavni cilj rada je razvoj raznolikih napada u području prirodnog jezika. Naglasak je stavljen na učinkovite napade i na metode koje mogu očuvati strukturalnu i semantičku cjelovitost teksta. Razvijeni su novi pristupi napada. Oslanjaju se na procjenu značajnosti pojedinih riječi u tekstu, kao i na intenzivno korištenje modela za leksičku zamjenu te ručno rađenih reprezentacija riječi. Provedeni su brojni eksperimenti kako bi se procijenile i usporedile izvedbe pojedinih suparničkih napada. Rad je zaključen kratkih pregledom mogućih obrambenih mehanizama i uvidima koji su stečeni na temelju dobivenih rezultata.
Abstract (english)
Motivation for this assignment, crafting adversarial examples for textual machine learning models, is presented in the introductory chapter. Natural language processing and adversarial attack concepts, important for understanding the experiments, are briefly described. Main topic of this assignment is development of various attacks in the natural language domain. Emphasis is put on effective attacks and methods that can preserve structural and semantic integrity of text. Novel approaches have been designed. They rely on evaluating importance of certain words in text, along with the heavy use of lexical substitution models and custom-crafted word embeddings. A series of experiments had been conducted in order to evaluate and compare different adversarial attacks. The thesis is concluded with short overview of possible defence mechanisms and insights gathered from numerous results.
Keywords
Keywords (english)
Languageenglish
URN:NBNurn:nbn:hr:168:954663
Study programmeTitle: Computing
Study programme type: university
Study level: graduate
Academic / professional title: magistar/magistra inženjer/inženjerka računarstva (magistar/magistra inženjer/inženjerka računarstva)
Type of resourceText
File originBorn digital
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Created on2023-01-13 12:32:57