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undergraduate thesis
Sekvencijalne strategije napada na velike jezične modele
Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing, 2024. urn:nbn:hr:168:209329
Borić, Filip
University of Zagreb
Faculty of Electrical Engineering and Computing

Institutional repository: FER Repository

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Borić, F. (2024). Sekvencijalne strategije napada na velike jezične modele (Undergraduate thesis). Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing. Retrieved from https://urn.nsk.hr/urn:nbn:hr:168:209329

Borić, Filip. "Sekvencijalne strategije napada na velike jezične modele." Undergraduate thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2024. https://urn.nsk.hr/urn:nbn:hr:168:209329

Borić, Filip. "Sekvencijalne strategije napada na velike jezične modele." Undergraduate thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2024. https://urn.nsk.hr/urn:nbn:hr:168:209329

Borić, F. (2024). 'Sekvencijalne strategije napada na velike jezične modele', Undergraduate thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, accessed 13 March 2025, https://urn.nsk.hr/urn:nbn:hr:168:209329

Borić F. Sekvencijalne strategije napada na velike jezične modele [Undergraduate thesis]. Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing; 2024 [cited 2025 March 13] Available at: https://urn.nsk.hr/urn:nbn:hr:168:209329

F. Borić, "Sekvencijalne strategije napada na velike jezične modele", Undergraduate thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, Zagreb, 2024. Available at: https://urn.nsk.hr/urn:nbn:hr:168:209329

Metadata
TitleSekvencijalne strategije napada na velike jezične modele
Title (english)Sequential attack strategies on large language models
AuthorFilip Borić
MentorMihaela Vranić (mentor)
Committee memberMihaela Vranić (predsjednik povjerenstva)
Committee memberDamir Pintar (član povjerenstva)
Committee memberAna Šarčević (član povjerenstva)
GranterUniversity of Zagreb
Faculty of Electrical Engineering and Computing
Zagreb
Defense date and country2024-07-10, Croatia
Scientific / art field,
discipline and subdiscipline		TECHNICAL SCIENCES
Computing
Abstract
Kako se veliki jezični modeli sve više koriste u različitim industrijskim sektorima i u svakodnevnom životu, njihova sigurnost postaje sve važnije pitanje. Ovo područje istraživanja zahtijeva stalnu pažnju kako bi se osiguralo da AI tehnologije budu pouzdane i korisne za društvo. Razvijena je originalna strategija napada koja koristi strukturirani i sekvencijalni pristup te dokazuje slabosti u velikim jezičnim modelima koje napadači mogu iskoristiti. Primjenom standardiziranih evaluacijskih metoda, dokazana je efikasnost osmišljene strategije napada u otkrivanju i iskorištavanju sigurnosnih slabosti velikih jezičnih modela, uz predložene metode za daljnje unaprjeđenje strategije.
Abstract (english)
As large language models are increasingly used in various industrial sectors and in everyday life, their security becomes an increasingly important issue. This research area requires constant attention to ensure that AI technologies are reliable and useful for society. An original attack strategy is developed that uses a structured and sequential approach and demonstrated weaknesses in large language models that attackers can exploit. By applying standardized evaluation methods, the effectiveness of the invented attack strategy was proven in detecting and exploiting security weaknesses of large language models, with proposed methods for further improvement of the strategy.
Keywords
Keywords (english)
Languagecroatian
URN:NBNurn:nbn:hr:168:209329
Study programmeTitle: Computing
Study programme type: university
Study level: undergraduate
Academic / professional title: sveučilišni/a prvostupnik/ prvostupnica (baccalaureus/baccalaurea) inženjer/inženjerka računarstva (sveučilišni/a prvostupnik/ prvostupnica (baccalaureus/baccalaurea) inženjer/inženjerka računarstva)
Type of resourceText
File originBorn digital
Access conditionsOpen access
Terms of useLicence In copyright icon
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Created on2024-10-12 20:08:09