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"Protecting Student Data in ML Pipelines: An Overview of Privacy-Preserving ML."

Johannes Schleiss, Kolja Günther, Sebastian Stober (2022)

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DOI: 10.1007/978-3-031-11647-6_109

access: closed

type: Conference or Workshop Paper

metadata version: 2022-07-27

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  dblp key:
  - conf/aied/SchleissGS22
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  - https://dblp.org/rec/conf/aied/SchleissGS22
Johannes Schleiss, Kolja Günther, Sebastian Stober:
Protecting Student Data in ML Pipelines: An Overview of Privacy-Preserving ML. AIED (2) 2022: 532-536

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