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Cyber-security-final-project/Evaluation_of_OpenSource_Models_for_PDF_Injection_Recognition

136 downloads in 30 days0 likesLast modified 3 Aug 2026View on Hugging Face
Permissive or share-alike

The declared licence (mit) is classified as permissive.

Declared licence
mit, from the tagEvidence: README.md at 6462736
Licence files
No licence file at the top level of the repositoryEvidence: file list at 6462736
Declared sources
None listed in the card metadata
Access gated on Hugging Face
No
Cyber-security-final-project/Evaluation_of_OpenSource_Models_for_PDF_Injection_RecognitionCyber-security-fina…mit: declared licencemitdeclared licenceREADME.md ↗no licence file: found at top levelno licence fi…found at top levelfile list ↗
Cyber-security-final-project/Evaluation_of_OpenSource_Models_for_PDF_Injection_RecognitionCyber-security-…mit: declared licencemitdeclared licenceREADME.md ↗no licence file: found at top levelno licence fi…found at top levelfile list ↗
Each cell links to what was checked: a file, a file list or a Hub record.

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Citation text from the card

The real half of the EDA's Part 1 comparison is the CIC-Evasive-PDFMal2022 dataset from the Canadian
Institute for Cybersecurity, University of New Brunswick. Models evaluated: Nomic AI, Google,
Alibaba, Xiaomi and Microsoft, each under its own licence.

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dataset_licence({ "id": "Cyber-security-final-project/Evaluation_of_OpenSource_Models_for_PDF_Injection_Recognition" })
signal: "permissive"
stated_licence: "mit"
sources: 0