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Proceedings of the 22nd ACM international conference on Information & Knowledge Management, 2013
As plagiarism of software increases rapidly, there are growing needs for software plagiarism detection systems. In this paper, we propose a software plagiarism detection system using an API-labeled control flow graph (A-CFG) that abstracts the functionalities of a program.
Dong-Kyu Chae +4 more
openaire +1 more source
As plagiarism of software increases rapidly, there are growing needs for software plagiarism detection systems. In this paper, we propose a software plagiarism detection system using an API-labeled control flow graph (A-CFG) that abstracts the functionalities of a program.
Dong-Kyu Chae +4 more
openaire +1 more source
Source Code Plagiarism Detection in an Educational Context: A Literature Mapping
Frontiers in Education Conference, 2021Detection of plagiarism in students' source codes in college-level programming courses is an important topic for instructors and institutions that seek to pursue project-based learning while enforcing honor codes and maintaining traditional grade-based ...
Rodrigo Aniceto +3 more
semanticscholar +1 more source
arXiv.org
The rise of Large Language Models (LLMs) such as ChatGPT and Gemini has posed new challenges for the academic community. With the help of these models, students can easily complete their assignments and exams, while educators struggle to detect AI ...
Shushanta Pudasaini +3 more
semanticscholar +1 more source
The rise of Large Language Models (LLMs) such as ChatGPT and Gemini has posed new challenges for the academic community. With the help of these models, students can easily complete their assignments and exams, while educators struggle to detect AI ...
Shushanta Pudasaini +3 more
semanticscholar +1 more source
Music Plagiarism Detection using Audio Fingerprinting and Segment Matching
2021 Smart Technologies, Communication and Robotics (STCR), 2021With the recent growth of media platforms such as YouTube, Spotify, etc. These Platforms make content easily accessible but at the same time causes many problems like plagiarized content.
Neetish Borkar +4 more
semanticscholar +1 more source
The Problem with False Positives: AI Detection Unfairly Accuses Scholars of AI Plagiarism
The Serials librarianBy examining the experiences of scholars from various institutions around the globe, this paper looks into how AI detection tools, which are meant to keep academic integrity intact, may backfire by unfairly accusing scholars of AI plagiarism.
Louie Giray
semanticscholar +1 more source
Empirical Software Engineering, 2021
Source code plagiarism is a common occurrence in undergraduate computer science education. In order to identify such cases, many source code plagiarism detection tools have been proposed.
Hayden Cheers +2 more
semanticscholar +1 more source
Source code plagiarism is a common occurrence in undergraduate computer science education. In order to identify such cases, many source code plagiarism detection tools have been proposed.
Hayden Cheers +2 more
semanticscholar +1 more source
Intrinsic Plagiarism Detection
2006Current research in the field of automatic plagiarism detection for text documents focuses on algorithms that compare plagiarized documents against potential original documents. Though these approaches perform well in identifying copied or even modified passages, they assume a closed world: a reference collection must be given against which a ...
Sven Meyer zu Eissen, Benno Stein
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Multilingual Plagiarism Detection
2008Multilingual text processing has been gaining more and more attention in recent years. This trend has been accentuated by the global integration of European states and the vanishing cultural and social boundaries. Multilingual text processing has become an important field bringing a lot of new and interesting problems.
Zdenek Ceska, Michal Toman, Karel Jezek
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Towards Building an Arabic Plagiarism Detection System: Plagiarism Detection in Arabic
International Journal of Information Retrieval Research, 2019This article describes a plagiarism detection system for the Arabic language that combines different similarity-measure techniques to uncover plagiarism in Arabic documents. The proposed system consists of two main components, one document-retrieval and the other detailed similarity analysis.
Imtiaz Hussain Khan +2 more
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PlagBench: Exploring the Duality of Large Language Models in Plagiarism Generation and Detection
North American Chapter of the Association for Computational LinguisticsRecent studies have raised concerns about the potential threats large language models (LLMs) pose to academic integrity and copyright protection. Yet, their investigation is predominantly focused on literal copies of original texts.
Jooyoung Lee +5 more
semanticscholar +1 more source