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ZENODO
Dataset . 2025
License: CC BY
Data sources: ZENODO
ZENODO
Dataset . 2025
License: CC BY
Data sources: Datacite
ZENODO
Dataset . 2025
License: CC BY
Data sources: Datacite
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Claim

Supplementary Material for "Mitigating Obfuscation Attacks on Software Plagiarism Detectors via Subsequence Merging"

Research datakeyboard_double_arrow_right Dataset 17 Jan 2025 English Publisher:Zenodo
Authors: Sağlam, Timur; Niehues, Nils; Hahner, Sebastian; Schmid, Larissa;

doi: 10.5281/zenodo.14679486 , 10.5281/zenodo.14679485

Supplementary Material for "Mitigating Obfuscation Attacks on Software Plagiarism Detectors via Subsequence Merging"

Abstract

This repository contains additional material supporting the paper titled "Mitigating Obfuscation Attacks on Software Plagiarism Detectors via Subsequence Merging", presented at CSEE&T 2025. The paper presents a defense mechanism against automated obfuscation attacks that provides broad resilience independent of the attack type or underlying programming language. The approach was also integrated into the software plagiarism detector JPlag, thus providing a widely accessible solution.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average