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Security issues in AI-generated source codes

Nagy, Roland and Szádeczky, Tamás (2023) Security issues in AI-generated source codes. In: 2023 IEEE 6th International Conference and Workshop Óbuda on Electrical and Power Engineering (CANDO-EPE). Proceedings of International Conference and Workshop Óbuda on Electrical and Power Engineering . IEEE, Danvers (MA), pp. 125-129. ISBN 9798350328752; 9798350328769; 9798350328745; 9798350328751

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Abstract

We live in the age of AI (artificial intelligence). With the advent of ChatGPT, there are countless solutions to help solve our everyday problems and tasks. The AI bot, which uses LLMs (large language models), has become the fastestgrowing consumer application in history, with over 100 million users by January 2023. The surge in users has also enabled the bot to be widely used. In this paper we explore these uses, focusing on the IT security implications.

Item Type: Book Section
Uncontrolled Keywords: AI, NLP, data science, data processing, CNN, neural networks
Subjects: Q Science / természettudomány > QA Mathematics / matematika > QA76.9.D343 Data mining and searching techniques / adatbányászati és keresési módszerek
SWORD Depositor: MTMT SWORD
Depositing User: MTMT SWORD
Date Deposited: 26 Sep 2024 07:26
Last Modified: 26 Sep 2024 07:26
URI: https://real.mtak.hu/id/eprint/205931

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