Výsledky vyhledávání - "AI-Generated Code"

Security Analysis of Automated Code Generation: Structural Vulnerabilities in AI-Generated

Autoři: Yoo, Sang Hyun Kim, Hyun Jung

Zdroj: Tehnički glasnik. 19:560-574

Témata: LLM security, OWASP Top 10, software security, memory vulnerabilities, AI-generated code, static-dynamic analysis, binary analysis, encryption vulnerabilities

Popis souboru: application/pdf

Přístupová URL adresa: https://hrcak.srce.hr/335259
https://doi.org/10.31803/tg-20250225095135

Assessing AI Detectors in Identifying AI-Generated Code: Implications for Education

Autoři: Wei Hung Pan Ming Jie Chok Jonathan Leong Shan Wong a další

Zdroj: Proceedings of the 46th International Conference on Software Engineering: Software Engineering Education and Training. :1-11

Témata: Computer Science - Software Engineering, Artificial Intelligence and Robotics, Computer Science - Artificial Intelligence, Software Engineering Education, Software Engineering, AI-Generated Code Detection, AI-Generated Code

Popis souboru: application/pdf

Přístupová URL adresa: http://arxiv.org/abs/2401.03676

Cyber Security Threats of Using Generative Artificial Intelligence in Source Code Management

Autoři: Sainag Nethala Sandeep Kampa Srinivas Reddy Kosna

Zdroj: Journal of Informatics and Web Engineering, Vol 4, Iss 2, Pp 114-124 (2025)

Témata: generative ai, source code management (scm), cyber security threats, ai-generated code vulnerabilities, code injection attacks, data poisoning, Electronic computers. Computer science, QA75.5-76.95, Information technology, T58.5-58.64

Popis souboru: electronic resource

Relation: https://journals.mmupress.com/index.php/jiwe/article/view/1568; https://doaj.org/toc/2821-370X

Přístupová URL adresa: https://doaj.org/article/769fd4bd4a0f4a8b8f7895ae97396ef3

Using pseudo-AI submissions for detecting AI-generated code

Autoři: Shariq Bashir

Zdroj: Frontiers in Computer Science, Vol 7 (2025)

Témata: programming code plagiarism detection, programming code similarity, generative AI tools, Electronic computers. Computer science, detecting AI-generated code, QA75.5-76.95, large language models (LLMs)

Přístupová URL adresa: https://doaj.org/article/5eca89389855411a842764250235718c

The Rise of AI-Generated Code: A Survey of Accuracy, Security, and Developer Trust

Autoři: Naaz, Fouzia orcid:0009-0005-4097-

Témata: AI-generated code, GitHub Copilot, ChatGPT, Software Engineering, Developer Trust, Security

Relation: https://zenodo.org/records/15920530; oai:zenodo.org:15920530; https://doi.org/10.5281/zenodo.15920530

Dostupnost: https://doi.org/10.5281/zenodo.15920530
https://zenodo.org/records/15920530

Assessing AI detectors in identifying AI-generated code: Implications for education

Autoři: PAN, Wei Hung CHOK, Ming Jie WONG, Jonathan Leong Shan a další

Zdroj: Research Collection School Of Computing and Information Systems

Témata: Software Engineering Education, AI-Generated Code, AI-Generated Code Detection, Artificial Intelligence and Robotics, Software Engineering

Popis souboru: application/pdf

Relation: https://ink.library.smu.edu.sg/sis_research/9244; https://ink.library.smu.edu.sg/context/sis_research/article/10244/viewcontent/3639474.3640068.pdf

Dostupnost: https://ink.library.smu.edu.sg/sis_research/9244
https://ink.library.smu.edu.sg/context/sis_research/article/10244/viewcontent/3639474.3640068.pdf

AIGCodeSet: Yapay Zeka Üretimli Kod Tespiti İçin Yeni Bir Veri Kümesi

Autoři: Demirok, Basak Kutlu, Mucahid

Témata: Software Design, Student Assignments, Large Language Model, Language Model, Job Interviews, Intelligence Models, Ethical Issues, Critical Issues, Code Detection, Artificial Intelligence Generated Code Detection, Annotated Datasets, AI Generated Code Detection, Python, Ethical Technology, Computer Software, Codes (Symbols), Bayesian Networks, Artificial Intelligence, Large Language Models

Relation: 33rd IEEE Conference on Signal Processing and Communications Applications, SIU 2025 -- Istanbul; Isik University Sile Campus -- 211450; Konferans Öğesi - Uluslararası - Kurum Öğretim Elemanı; https://doi.org/10.1109/SIU66497.2025.11112334; https://hdl.handle.net/20.500.11851/12721; N/A

Dostupnost: https://hdl.handle.net/20.500.11851/12721
https://doi.org/10.1109/SIU66497.2025.11112334

Evaluating Code Quality of AI-generated Mobile Applications : A Comparative Study of React Native and Kotlin Implementations

Autoři: Wehbi, Nathalia Jönsson, Axel

Témata: Programvaruteknik, AI-generated code, Code quality, Native and Non-Native applications, Software Engineering, Large Language Models in coding, AI-assisted development

Popis souboru: application/pdf

Přístupová URL adresa: http://urn.kb.se/resolve?urn=urn:nbn:se:bth-28142

Human-AI-Collaboration-For-Coding

Autoři: Ravi, Siddhardha

Zdroj: Theses, Dissertations and Culminating Projects

Témata: human-AI code collaboration, generative AI, code quality improvement, AI-generated code, BigCodeBench, software engineering, AI-first refinement, human-guided generation, large language models (LLMs), LLM-as-a-Judge, Artificial Intelligence and Robotics

Popis souboru: application/pdf

Relation: https://digitalcommons.montclair.edu/etd/1580; https://digitalcommons.montclair.edu/context/etd/article/2584/viewcontent/Ravi__Siddhardha___Final_thesis_Redacted.pdf

Dostupnost: https://digitalcommons.montclair.edu/etd/1580
https://digitalcommons.montclair.edu/context/etd/article/2584/viewcontent/Ravi__Siddhardha___Final_thesis_Redacted.pdf

Vibe Coding in Practice: Motivations, Challenges, and a Future Outlook - a Grey Literature Review

Autoři: Fawzy, Ahmed Tahir, Amjed Blincoe, Kelly

Témata: Vibe coding, AI-assisted programming, AI-generated code

Relation: https://zenodo.org/records/17188020; oai:zenodo.org:17188020; https://doi.org/10.5281/zenodo.17188020

Dostupnost: https://doi.org/10.5281/zenodo.17188020
https://zenodo.org/records/17188020

Evaluating Code Quality of AI-generated Mobile Applications : A Comparative Study of React Native and Kotlin Implementations ; Utvärdering av kodkvalitet i AI-genererade mobilapplikationer : En jämförande studie av React Native- och Kotlin-implementeringar

Autoři: Wehbi, Nathalia Jönsson, Axel

Témata: AI-generated code, AI-assisted development, Large Language Models in coding, Code quality, Native and Non-Native applications, Software Engineering, Programvaruteknik

Popis souboru: application/pdf

Dostupnost: http://urn.kb.se/resolve?urn=urn:nbn:se:bth-28142

Exploiting LLMs for E-Learning: A Cybersecurity Perspective on AI-Generated Tools in Education

Autoři: Greco, Danilo Chianese, Luca

Přispěvatelé: Greco, Danilo Chianese, Luca

Témata: Technology-enhanced learning, large language models (LLMs), vulnerability testing, cybersecurity in e-learning, AI-generated code, security assessment, vulnerability analysis, GPT-4o, web application security

Relation: ispartofbook:IEEE International Workshop on Technologies for Defense and Security (TechDefense); IEEE International Workshop on Technologies for Defense and Security (TechDefense); firstpage:237; lastpage:242; numberofpages:6; https://hdl.handle.net/11311/1283369

Dostupnost: https://hdl.handle.net/11311/1283369
https://doi.org/10.1109/techdefense63521.2024.10863662

Detecting AI-Generated Code Assignments Using Perplexity of Large Language Models

Autoři: Xu, Zhenyu Sheng, Victor S.

Zdroj: Proceedings of the AAAI Conference on Artificial Intelligence; Vol. 38 No. 21: IAAI-24, EAAI-24, AAAI-24 Student Abstracts, Undergraduate Consortium and Demonstrations; 23155-23162 ; 2374-3468 ; 2159-5399

Témata: Large Language Models, ChatGPT, AI-generated Code Detection

Popis souboru: application/pdf

Relation: https://ojs.aaai.org/index.php/AAAI/article/view/30361/32410; https://ojs.aaai.org/index.php/AAAI/article/view/30361/32411; https://ojs.aaai.org/index.php/AAAI/article/view/30361

Dostupnost: https://ojs.aaai.org/index.php/AAAI/article/view/30361
https://doi.org/10.1609/aaai.v38i21.30361

AI-Generated code detection: an examination of current tools in education

Autoři: Cuellar Argotty, Juan Esteban Manrique Piramanrique, Rubén Francisco Facultad de Ingeniería

Přispěvatelé: Cuellar Argotty, Juan Esteban Manrique Piramanrique, Rubén Francisco Facultad de Ingeniería

Témata: AI-generated code, AI-Generated Code Detection, Software Engineering Education, Ingeniería

Popis souboru: 29 páginas; application/pdf

Relation: Uchendu, Adaku, Venkatraman, Saranya, Le, Thai, and Lee, Dongwon. "Catch Me If You GPT: Tutorial on Deepfake Texts". Available at: https://aclanthology.org/2024.naacl-tutorials.1.pdf; Weber-Wulff, Debora, Anohina-Naumeca, Alla, and Bjelobaba, Sonja. "Testing of detection tools for AI-generated text". SpringerLink, 2023. Available at: https://link.springer.com/article/10.1007/s40979-023-00146-z; Mitchell, Eric, Lee, Yoonho, Khazatsky, Alexander, Manning, Christopher D., and Finn, Chelsea. "DetectGPT: Zero-Shot Machine-Generated Text Detection using Probability Curvature". Available at: https://openreview.net/pdf?id=UiAyIILXRd; Pan, Wei Hung, Chok, Ming Jie, and Wong, Jonathan Leong Shan. "Assessing AI Detectors in Identifying AI-Generated Code: Implications for Education". IEEE Xplore, 2023. Available at: https://ieeexplore.ieee.org/document/10554754; Li, Yafu, Li, Qintong, and Cui, Leyang. "MAGE: Machine-generated Text Detection in the Wild". Available at: https://arxiv.org/pdf/2305.13242; Xu, Zhenyu, and Sheng, Victor S. "Detecting AI-Generated Code Assignments Using Perplexity of Large Language Models". AAAI Conference on Artificial Intelligence, 2023. Available at: https://ojs.aaai.org/index.php/AAAI/article/view/30361; New Era of Artificial Intelligence in Education: Towards a Sustainable Multifaceted Revolution. Available at: https://www.mdpi.com/2071-1050/15/16/12451; The role and impact of ChatGPT in educational practices: insights from an Australian higher education case study. Available at: https://link.springer.com/article/10.1007/s44217-024-00126-6; https://hdl.handle.net/1992/75503; instname:Universidad de los Andes; reponame:Repositorio Institucional Séneca; repourl:https://repositorio.uniandes.edu.co/

Dostupnost: https://hdl.handle.net/1992/75503

Harnessing AI for front-end development : an evaluation of design-to-code tools ; Tekoälytyökalujen hyödyntäminen front-end kehityksessä ja niiden arviointi

Autoři: Manninen, Juhani Lappeenrannan-Lahden teknillinen yliopisto LUT Lappeenranta-Lahti University of Technology LUT

Přispěvatelé: Manninen, Juhani Lappeenrannan-Lahden teknillinen yliopisto LUT Lappeenranta-Lahti University of Technology LUT

Témata: AI, artificial intelligence, front-end development, Figma, design-to-code, AI-generated code, tekoäly, front-end kehitys, tekoälyn tuottama koodi, fi=Opinnäytetyöni ei liity strategiaan|en=My thesis is not related to the strategy, fi=School of Engineering Science, Tietotekniikka|en=School of Engineering Science, Computer Science

Popis souboru: fulltext

Relation: https://lutpub.lut.fi/handle/10024/167161

Dostupnost: https://lutpub.lut.fi/handle/10024/167161

Security and Authenticity of AI-generated code

Autoři: Ambati, Sriharitha Stakhanova, Natalia Eager, Derek a další

Přispěvatelé: Ambati, Sriharitha Stakhanova, Natalia Eager, Derek a další

Témata: Artificial Intelligence, AI-generated code, Common Weakness Enumeration(CWE), Common Vulnerabilities and Exposures, Plagiarism detection, Code attribution

Popis souboru: application/pdf

Relation: https://hdl.handle.net/10388/15154

Dostupnost: https://hdl.handle.net/10388/15154