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Digital Hologram Watermarking Based on Multiple Deep Neural Networks Training Reconstruction and Attack.
Kang, Ji-Won; Lee, Jae-Eun; Choi, Jang-Hwan; Kim, Woosuk; Kim, Jin-Kyum; Kim, Dong-Wook; Seo, Young-Ho.
Afiliación
  • Kang JW; Department of Electronic Materials Engeering, Kwangwoon University, Kwangwoon-ro 20, Nowon-gu, Seoul 01897, Korea.
  • Lee JE; OLED Team Associate, Siliconworks, Baumoe-ro, Seocho-gu, Seoul 06763, Korea.
  • Choi JH; Department of Electronic Materials Engeering, Kwangwoon University, Kwangwoon-ro 20, Nowon-gu, Seoul 01897, Korea.
  • Kim W; Department of Electronic Materials Engeering, Kwangwoon University, Kwangwoon-ro 20, Nowon-gu, Seoul 01897, Korea.
  • Kim JK; Department of Electronic Materials Engeering, Kwangwoon University, Kwangwoon-ro 20, Nowon-gu, Seoul 01897, Korea.
  • Kim DW; Department of Electronic Materials Engeering, Kwangwoon University, Kwangwoon-ro 20, Nowon-gu, Seoul 01897, Korea.
  • Seo YH; Department of Electronic Materials Engeering, Kwangwoon University, Kwangwoon-ro 20, Nowon-gu, Seoul 01897, Korea.
Sensors (Basel) ; 21(15)2021 Jul 22.
Article en En | MEDLINE | ID: mdl-34372214
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Texto completo: 1 Bases de datos: MEDLINE Asunto principal: Interpretación de Imagen Asistida por Computador / Seguridad Computacional Tipo de estudio: Prognostic_studies Idioma: En Revista: Sensors (Basel) Año: 2021 Tipo del documento: Article
Texto completo
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Texto completo: 1 Bases de datos: MEDLINE Asunto principal: Interpretación de Imagen Asistida por Computador / Seguridad Computacional Tipo de estudio: Prognostic_studies Idioma: En Revista: Sensors (Basel) Año: 2021 Tipo del documento: Article