Search Results - AI-Generated Code Detection

Using pseudo-AI submissions for detecting AI-generated code by Bashir, Shariq

“… Students may use these tools inappropriately for their programming assignments, and there currently are not reliable methods to detect AI-generated code…”
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CDUP: Detecting AI Generated Code Using Abstract Syntax Tree Analyst by Păuleț, Ștefan, Moruz, Alex

“… Most work in the field is aimed at the larger problem of detecting AI generated text, leaving an important gap as far as specialized tools for code detection are concerned…”
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AI Generated Code Plagiarism Detection in Computer Science Courses: A Literature Mapping by Simmons, Archer, Holanda, Maristela, Chamon, Christiana, Da Silva, Dilma

“…, methods of plagiarism have evolved, however methods of detection may not be capable of accurately differentiating between code generated by human and artificial intelligence (AI…”
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Exploring the Boundaries Between LLM Code Clone Detection and Code Similarity Assessment on Human and AI-Generated Code by Zhang, Zixian, Saber, Takfarinas

“…As Large Language Models (LLMs) continue to advance, their capabilities in code clone detection have garnered significant attention…”
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Assessing AI Detectors in Identifying AI-Generated Code: Implications for Education by Pan, Wei Hung, Chok, Ming Jie, Wong, Jonathan Leong Shan, Shin, Yung Xin, Poon, Yeong Shian, Yang, Zhou, Chong, Chun Yong, Lo, David, Lim, Mei Kuan

“… (AIGC) Detectors for academic misconduct. In this paper, we present an empirical study where the LLM is examined for its attempts to bypass detection by AIGC Detectors…”
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An Empirical Study on Automatically Detecting AI-Generated Source Code: How Far are We? by Suh, Hyunjae, Tafreshipour, Mahan, Li, Jiawei, Bhattiprolu, Adithya, Ahmed, Iftekhar

“… This study first presents an empirical analysis to investigate the effectiveness of the existing AI detection tools in detecting AI-generated code…”
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AIGCodeSet: A New Annotated Dataset for AI Generated Code Detection by Demirok, Basak, Kutlu, Mucahid

“…) model is a critical issue. In this study, we present AIGCodeSet, which consists of 2.828 AI-generated…”
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AIGCodeSet: A New Annotated Dataset for AI Generated Code Detection by Basak Demirok, Kutlu, Mucahid

“… In this study, we introduce AIGCodeSet, a dataset for AI-generated code detection tasks, specifically for the Python programming language…”
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Detecting Adversarial Prompted AI-Generated Code on Stack Overflow: A Benchmark Dataset and an Enhanced Detection Approach by Swaraj, Aman, Agarwal, Krishna, Joshi, Atharv, Kumar, Sandeep

“… While recent studies have focused on detecting AI-generated code, they have mostly worked with long code samples from repositories and assignments…”
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DeVAIC: A tool for security assessment of AI-generated code by Cotroneo, Domenico, De Luca, Roberta, Liguori, Pietro

“… This research work introduces DeVAIC (Detection of Vulnerabilities in AI-generated Code), a tool to evaluate the security of AI-generated Python code, which overcomes the challenge of examining incomplete code…”
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Detecting AI-Generated Source Code in Student Assignments Using Steganographic Watermarks by Horvath, Marek, Bubenkova, Lenka, Pietrikova, Emilia, Corba, Matej

“…This paper presents the use of steganography to ensure the integrity and uniqueness of student programming assignments by embedding hidden student identifiers…”
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An Empirical Study on Automatically Detecting AI-Generated Source Code: How Far Are We? by Suh, Hyunjae, Mahan Tafreshipour, Li, Jiawei, Bhattiprolu, Adithya, Ahmed, Iftekhar

“… This study first presents an empirical analysis to investigate the effectiveness of the existing AI detection tools in detecting AI-generated code…”
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Security Analysis of Automated Code Generation: Structural Vulnerabilities in AI-Generated Code by Yoo, Sang Hyun, Kim, Hyun Jung

“… This study examines the susceptibilities inherent in AI-generated code through a hybrid methodology that combines Ghidra for static analysis with Valgrind and Frida for dynamic evaluation to identify…”
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Security Analysis of Automated Code Generation: Structural Vulnerabilities in AI-Generated by Kim, Hyun Jung, Yoo, Sang Hyun

“… This study examines the susceptibilities inherent in AI-generated code through a hybrid methodology that combines Ghidra for static analysis with Valgrind and Frida for dynamic evaluation to identify…”
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Artifact feature purification for cross-domain detection of AI-generated images by Meng, Zheling, Peng, Bo, Dong, Jing, Tan, Tieniu, Cheng, Haonan

“… Existing generated image detection methods suffer from performance drops when faced with out-of-domain generators and image scenes…”
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OpenAI introduces CriticGPT to improve AI-generated code quality, shows 63% improvement in error detection

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Evaluating ChatGPT-3’s efficacy in solving coding tasks: implications for academic integrity in English language assessments by Elhambakhsh, Seyedeh Elham

“… The researcher explored potential implications for academic integrity and the challenges associated with AI-generated solutions…”
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GPTSniffer: A CodeBERT-based classifier to detect source code written by ChatGPT by Nguyen, Phuong T., Di Rocco, Juri, Di Sipio, Claudio, Rubei, Riccardo, Di Ruscio, Davide, Di Penta, Massimiliano

“…, in software education) rather than as a replacement for humans. Thus, detecting automatically generated source code by ChatGPT is necessary, and tools for identifying AI-generated content need to be adapted to work effectively with code…”
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Self-Supervised Learning for Detecting AI-Generated Faces as Anomalies by Zou, Mian, Yu, Baosheng, Zhan, Yibing, Ma, Kede

“…The detection of AI-generated faces is commonly approached as a binary classification task…”
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The imitation game: Detecting human and AI-generated texts in the era of ChatGPT and BARD by Hayawi, Kadhim, Shahriar, Sakib, Mathew, Sujith Samuel

“… However, distinguishing between human-written and AI-generated text has become a significant task…”
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