Digital Watermarking for Machine Learning Model: Techniques, Protocols and Applications
Gespeichert in:
| Weitere Verfasser: | , , |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
Singapore
Springer Nature Singapore
[2023]
Singapore Springer |
| Ausgabe: | 1st edition |
| Schlagworte: | |
| Online-Zugang: | BFB01 BTU01 FCO01 FHA01 FHD01 FHI01 FHM01 FHN01 FHR01 FKE01 FLA01 FNU01 FRO01 FWS01 FWS02 GEM01 HTW01 UBA01 UBG01 UBM01 UBR01 UBT01 UBW01 UBY01 UEI01 UER01 UPA01 Volltext |
| Beschreibung: | 1 Online-Ressource (XVI, 225 p., 1 illus) |
| ISBN: | 9789811975547 |
| DOI: | 10.1007/978-981-19-7554-7 |
Internformat
MARC
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Datensatz im Suchindex
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| dewey-ones | 006 - Special computer methods |
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| discipline | Informatik |
| discipline_str_mv | Informatik |
| doi_str_mv | 10.1007/978-981-19-7554-7 |
| edition | 1st edition |
| format | Electronic eBook |
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| genre | (DE-588)4143413-4 Aufsatzsammlung gnd-content |
| genre_facet | Aufsatzsammlung |
| id | DE-604.BV048982952 |
| illustrated | Not Illustrated |
| index_date | 2024-07-03T22:05:26Z |
| indexdate | 2024-08-01T11:02:20Z |
| institution | BVB |
| isbn | 9789811975547 |
| language | English |
| oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-034246409 |
| oclc_num | 1381309444 |
| open_access_boolean | |
| owner | DE-860 DE-19 DE-BY-UBM DE-858 DE-Aug4 DE-898 DE-BY-UBR DE-861 DE-188 DE-523 DE-1049 DE-859 DE-473 DE-BY-UBG DE-29 DE-863 DE-BY-FWS DE-1050 DE-20 DE-862 DE-BY-FWS DE-92 DE-355 DE-BY-UBR DE-824 DE-522 DE-384 DE-M347 DE-573 DE-703 DE-706 DE-739 DE-634 DE-M382 |
| owner_facet | DE-860 DE-19 DE-BY-UBM DE-858 DE-Aug4 DE-898 DE-BY-UBR DE-861 DE-188 DE-523 DE-1049 DE-859 DE-473 DE-BY-UBG DE-29 DE-863 DE-BY-FWS DE-1050 DE-20 DE-862 DE-BY-FWS DE-92 DE-355 DE-BY-UBR DE-824 DE-522 DE-384 DE-M347 DE-573 DE-703 DE-706 DE-739 DE-634 DE-M382 |
| physical | 1 Online-Ressource (XVI, 225 p., 1 illus) |
| psigel | ZDB-2-SCS ZDB-2-SCS_2023 |
| publishDate | 2023 |
| publishDateSearch | 2023 |
| publishDateSort | 2023 |
| publisher | Springer Nature Singapore Springer |
| record_format | marc |
| spellingShingle | Digital Watermarking for Machine Learning Model Techniques, Protocols and Applications Machine Learning Data and Information Security Computer Imaging, Vision, Pattern Recognition and Graphics Image Processing Machine learning Data protection Image processing—Digital techniques Computer vision Image processing |
| subject_GND | (DE-588)4143413-4 |
| title | Digital Watermarking for Machine Learning Model Techniques, Protocols and Applications |
| title_auth | Digital Watermarking for Machine Learning Model Techniques, Protocols and Applications |
| title_exact_search | Digital Watermarking for Machine Learning Model Techniques, Protocols and Applications |
| title_exact_search_txtP | Digital Watermarking for Machine Learning Model Techniques, Protocols and Applications |
| title_full | Digital Watermarking for Machine Learning Model Techniques, Protocols and Applications Lixin Fan, Chee Seng Chan, Qiang Yang, editors |
| title_fullStr | Digital Watermarking for Machine Learning Model Techniques, Protocols and Applications Lixin Fan, Chee Seng Chan, Qiang Yang, editors |
| title_full_unstemmed | Digital Watermarking for Machine Learning Model Techniques, Protocols and Applications Lixin Fan, Chee Seng Chan, Qiang Yang, editors |
| title_short | Digital Watermarking for Machine Learning Model |
| title_sort | digital watermarking for machine learning model techniques protocols and applications |
| title_sub | Techniques, Protocols and Applications |
| topic | Machine Learning Data and Information Security Computer Imaging, Vision, Pattern Recognition and Graphics Image Processing Machine learning Data protection Image processing—Digital techniques Computer vision Image processing |
| topic_facet | Machine Learning Data and Information Security Computer Imaging, Vision, Pattern Recognition and Graphics Image Processing Machine learning Data protection Image processing—Digital techniques Computer vision Image processing Aufsatzsammlung |
| url | https://doi.org/10.1007/978-981-19-7554-7 |
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