Search Results - AI-Generated Code Detection~

AIGCodeSet: A New Annotated Dataset for AI Generated Code Detection

Authors: Demirok, Basak Kutlu, Mucahid

Source: 2025 33rd Signal Processing and Communications Applications Conference (SIU). :1-4

Subject Terms: Software Engineering (cs.SE), FOS: Computer and information sciences, Computer Science - Software Engineering, Artificial Intelligence (cs.AI), Computer Science - Artificial Intelligence

Access URL: http://arxiv.org/abs/2412.16594

AI-Generated Code Detection: An Examination of Current Tools in Education

Authors: Juan Esteban Cuellar Argotty Ruben Manrique

Source: Lecture Notes in Computer Science ISBN: 9783031982804

LevDetectCode: Zero-Shot Detection of AI-Generated Code Using Levenshtein Distance.

Authors: Fu, Jiazhou Shen, Guohua Huang, Zhiqiu et al.

Source: International Journal of Software Engineering & Knowledge Engineering. Dec2025, Vol. 35 Issue 12, p1713-1736. 24p.

Subject Terms: CODE generators, DETECTION algorithms, SIGNAL detection, COMPUTER performance

Hiding in Plain Sight: On the Robustness of AI-Generated Code Detection

Authors: Saman Pordanesh Sufiyan Bukhari Benjamin Tan et al.

Source: Lecture Notes in Computer Science ISBN: 9783031976223

MultiAIGCD: A Comprehensive dataset for AI Generated Code Detection Covering Multiple Languages, Models,Prompts, and Scenarios

Authors: Demirok, Basak Kutlu, Mucahid Mergen, Selin

Subject Terms: Software Engineering (cs.SE), FOS: Computer and information sciences, Artificial Intelligence (cs.AI), Artificial Intelligence, Software Engineering

Access URL: http://arxiv.org/abs/2507.21693

$\texttt{Droid}$: A Resource Suite for AI-Generated Code Detection

Authors: Orel, Daniil Paul, Indraneil Gurevych, Iryna et al.

Subject Terms: Software Engineering (cs.SE), FOS: Computer and information sciences, Artificial Intelligence (cs.AI), Artificial Intelligence, Computers and Society (cs.CY), Software Engineering, Computers and Society

Access URL: http://arxiv.org/abs/2507.10583

AI-Generated Code Detection and Quality/Security Assessment Framework

Authors: Saiyad Uzaib

Source: International Journal of Multidisciplinary and Scientific Emerging Research. 13

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

Authors: Wei Hung Pan Ming Jie Chok Jonathan Leong Shan Wong et al.

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

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

File Description: application/pdf

Access URL: http://arxiv.org/abs/2401.03676

Exploring the Boundaries Between LLM Code Clone Detection and Code Similarity Assessment on Human and AI-Generated Code

Authors: Zixian Zhang Takfarinas Saber

Source: Big Data and Cognitive Computing, Vol 9, Iss 2, p 41 (2025)

Subject Terms: code clone detection, code similarity, large language model, fine-tuning, LLM-generated code, Technology

File Description: electronic resource

Relation: https://www.mdpi.com/2504-2289/9/2/41; https://doaj.org/toc/2504-2289

Access URL: https://doaj.org/article/1de3cfaf5b7d4fb6ba7f9a4dee7fb25c

CDUP: Detecting AI Generated Code Using Abstract Syntax Tree Analyst.

Authors: Păuleț, Ștefan Moruz, Alex

Source: Procedia Computer Science. 2025, Vol. 270, p2088-2095. 8p.

Subject Terms: Plagiarism prevention, C (Computer program language), Data analytics, Hypothesis, Code generators, Data structures

The AI Music Arms Race: On the Detection of AI-Generated Music

Authors: Cros Vila, Laura Sturm, Bob Casini, Luca et al.

Source: MUSAiC Transactions of the International Society for Music Information Retrieval. 8(1):179-194

Subject Terms: AI music detection, AI music, Generative AI, Suno, Udio, Datalogi, Computer Science

File Description: electronic

Access URL: https://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-365668
https://doi.org/10.5334/tismir.254

AIGCodeSet: A New Annotated Dataset for AI Generated Code Detection

Authors: Demirok, Basak Kutlu, Mucahid

Index Terms: Computer Science - Software Engineering, Computer Science - Artificial Intelligence, text

URL: http://arxiv.org/abs/2412.16594

Using pseudo-AI submissions for detecting AI-generated code

Authors: Shariq Bashir

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

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

File Description: electronic resource

Relation: https://www.frontiersin.org/articles/10.3389/fcomp.2025.1549761/full; https://doaj.org/toc/2624-9898

Access URL: https://doaj.org/article/5eca89389855411a842764250235718c

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

Authors: Yoo, Sang Hyun Kim, Hyun Jung

Source: Technical Journal / Tehnički Glasnik; Dec2025, Vol. 19 Issue 4, p560-574, 15p

Issues in Detection of AI-Generated Source Code

Authors: Bukhari, Sufiyan Ahmed De Carli, Lorenzo Tan, Peng Seng Benjamin et al.

Contributors: Bukhari, Sufiyan Ahmed De Carli, Lorenzo Tan, Peng Seng Benjamin et al.

Subject Terms: Machine Learning, Engineering--Electronics and Electrical, Large Language Models, ChatGPT, AI Code Assistants, Software Supply Chain Security, Education--Technology, LLMs, Code Stylometry

File Description: application/pdf

Access URL: https://hdl.handle.net/1880/119794
https://doi.org/10.11575/prism/47405

An Empirical Study on Automatically Detecting AI-Generated Source Code: How Far are We?

Authors: Hyunjae Suh Mahan Tafreshipour Jiawei Li et al.

Source: 2025 IEEE/ACM 47th International Conference on Software Engineering (ICSE). :859-871

Subject Terms: Software Engineering (cs.SE), FOS: Computer and information sciences, Computer Science - Software Engineering

Access URL: http://arxiv.org/abs/2411.04299

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

Authors: Sang Hyun Yoo Hyun Jung Kim

Source: Tehnički Glasnik, Vol 19, Iss 4, Pp 560-574 (2025)

Subject Terms: AI-generated code, binary analysis, encryption vulnerabilities, LLM security, memory vulnerabilities, OWASP Top 10, Technology

File Description: electronic resource

Relation: https://hrcak.srce.hr/file/484966; https://doaj.org/toc/1846-6168; https://doaj.org/toc/1848-5588

Access URL: https://doaj.org/article/376290d6794d42a3acce1cf7b92db307

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

Authors: PAN, Wei Hung CHOK, Ming Jie WONG, Jonathan Leong Shan et al.

Source: Research Collection School Of Computing and Information Systems

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

File Description: 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

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

Droid: A Resource Suite for AI-Generated Code Detection

Authors: Orel, Daniil Paul, Indraneil Gurevych, Iryna et al.

Source: Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing ; page 31251-31277

Availability: https://doi.org/10.18653/v1/2025.emnlp-main.1593

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

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

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

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

File Description: 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/

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