Search Results - Artificial Intelligence Generated Code Detection

INTERNATIONAL PATENT: NEC LABORATORIES AMERICA, INC. FILES APPLICATION FOR "DETECTING ARTIFICIAL INTELLIGENCE GENERATED COMPUTER CODE"

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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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Detecting images generated by diffusers by Coccomini, Davide Alessandro, Esuli, Andrea, Falchi, Fabrizio, Gennaro, Claudio, Amato, Giuseppe

“…In recent years, the field of artificial intelligence has witnessed a remarkable surge in the generation of synthetic images, driven by advancements in deep learning techniques…”
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Enhancing vulnerability detection by fusing code semantic features with LLM-generated explanations by Tian, Zhenzhou, Li, Minghao, Sun, Jiaze, Chen, Yanping, Chen, Lingwei

“… This paper proposes FuSEVul, a novel multi-modal framework that integrates code semantics with automatically generated natural language explanations to enhance vulnerability detection…”
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A Closer Look at Fourier Spectrum Discrepancies for CNN-generated Images Detection by Chandrasegaran, Keshigeyan, Tran, Ngoc-Trung, Cheung, Ngai-Man

“… Recent works have observed that CNN-generated images share a systematic shortcoming in replicating high frequency Fourier spectrum decay attributes…”
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MAGECODE: Machine-Generated Code Detection Method Using Large Language Models by Pham, Hung, Ha, Huyen, Tong, van, Hoang, Dung, Tran, Duc, Le, Tuyen Ngoc

“… Consequently, various machine-generated text (MGT) detection methods, developed from metric-based and model-based approaches, were proposed and shown to be highly effective…”
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Learning on Gradients: Generalized Artifacts Representation for GAN-Generated Images Detection by Tan, Chuangchuang, Zhao, Yao, Wei, Shikui, Gu, Guanghua, Wei, Yunchao

“… In this work, we introduce a novel detection framework, named Learning on Gradients (LGrad), designed for identifying GAN-generated images, with the aim of constructing a generalized detector with cross-model and cross-data…”
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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

“…Educators are increasingly concerned about the usage of Large Language Models (LLMs) such as ChatGPT in programming education, particularly regarding the potential exploitation of imperfections in Artificial Intelligence Generated Content…”
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Self-generated Defocus Blur Detection via Dual Adversarial Discriminators by Zhao, Wenda, Shang, Cai, Lu, Huchuan

“…Although existing fully-supervised defocus blur detection (DBD) models significantly improve performance, training such deep models requires abundant pixel-level manual annotation, which is highly time-consuming and error-prone…”
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Deep-Learning-Empowered Detection of Large-Language-Model-Based Generative Content in Educational Tasks by Su, Zhao, Shen, Jun, Zhou, Qingguo, Yong, Binbin

“…The rapid adoption of large language models (LLMs), such as ChatGPT, in education has intensified the need to differentiate artificial intelligence (AI…”
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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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Representative Forgery Mining for Fake Face Detection by Wang, Chengrui, Deng, Weihong

“…Although vanilla Convolutional Neural Network (CNN) based detectors can achieve satisfactory performance on fake face detection, we observe that the detectors…”
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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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RAMPAGE: a software framework to ensure reproducibility in algorithmically generated domains detection by Pelayo-Benedet, Tomás, Rodríguez, Ricardo J., Gañán, Carlos H.

“…•We introduce Rampage, a framework for reproducible algorithmically generated domains detection comparisons…”
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ChatGPT Code Detection: Techniques for Uncovering the Source of Code by Oedingen, Marc, Engelhardt, Raphael C., Denz, Robin, Hammer, Maximilian, Konen, Wolfgang

“…In recent times, large language models (LLMs) have made significant strides in generating computer code, blurring the lines between code created by humans and code produced by artificial intelligence (AI…”
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Perception matters: Exploring imperceptible and transferable anti-forensics for GAN-generated fake face imagery detection by Wang, Yongwei, Ding, Xin, Yang, Yixin, Ding, Li, Ward, Rabab, Wang, Z. Jane

“…•Propose more imperceptible and transferable anti-forensics for fake face detection…”
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What are the differences between student and ChatGPT-generated pseudocode? Detecting AI-generated pseudocode in high school programming using explainable machine learning by Liu, Zifeng, Xing, Wanli, Jiao, Xinyue, Li, Chenglu, Zhu, Wangda

“…The ability of large language models (LLMs) to generate code has raised concerns in computer science education, as students may use tools like ChatGPT for programming assignments…”
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Hierarchical Fine-Grained Image Forgery Detection and Localization by Guo, Xiao, Liu, Xiaohong, Ren, Zhiyuan, Grosz, Steven, Masi, Iacopo, Liu, Xiaoming

“…Differences in forgery attributes of images generated in CNN-synthesized and image-editing domains are large, and such differences make a unified image forgery detection and localization (IFDL) challenging…”
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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

“…The potential of artificial intelligence (AI)-based large language models (LLMs) holds considerable promise in revolutionising education, research and practice…”
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