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Watermark in the Classroom: A Conformal Framework for Adaptive AI Usage Detection
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| Published in: | Harvard Data Science Review |
|---|---|
| Format: | Online Article RSS Article |
| Published: |
2026
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| Subjects: | |
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| _version_ | 1864030190951202821 |
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| collection | WordPress RSS FRELIP Feed Integration |
| container_title | Harvard Data Science Review |
| description | |
| discipline_display | Technology & Engineering |
| discipline_facet | Technology & Engineering |
| format | Online Article RSS Article |
| genre | Journal Article |
| id | rss_article:32199 |
| institution | FRELIP |
| journal_source_facet | Harvard Data Science Review |
| publishDate | 2026 |
| publishDateSort | 2026 |
| record_format | rss_article |
| spellingShingle | Watermark in the Classroom: A Conformal Framework for Adaptive AI Usage Detection Data Mining Technology & Engineering — Computing Technology & Engineering |
| sub_discipline_display | Technology & Engineering — Computing |
| sub_discipline_facet | Technology & Engineering — Computing |
| subject_display | Data Mining Technology & Engineering — Computing Technology & Engineering Data Mining Technology & Engineering — Computing Technology & Engineering |
| subject_facet | Data Mining Technology & Engineering — Computing Technology & Engineering |
| title | Watermark in the Classroom: A Conformal Framework for Adaptive AI Usage Detection |
| title_auth | Watermark in the Classroom: A Conformal Framework for Adaptive AI Usage Detection |
| title_full | Watermark in the Classroom: A Conformal Framework for Adaptive AI Usage Detection |
| title_fullStr | Watermark in the Classroom: A Conformal Framework for Adaptive AI Usage Detection |
| title_full_unstemmed | Watermark in the Classroom: A Conformal Framework for Adaptive AI Usage Detection |
| title_short | Watermark in the Classroom: A Conformal Framework for Adaptive AI Usage Detection |
| title_sort | watermark in the classroom: a conformal framework for adaptive ai usage detection |
| topic | Data Mining Technology & Engineering — Computing Technology & Engineering |
| url | https://hdsr.mitpress.mit.edu/pub/ifxlo12v |