研究者情報 | 神奈川大学

キノシタ　ヒロツグ Kinoshita Hirotsugu 木下　宏揚所属神奈川大学工学部電気電子情報工学科神奈川大学大学院工学研究科工学専攻（電気電子情報工学領域）職種教授
言語種別	英語
発行・発表の年月	2020/07
形態種別	学術雑誌
査読	査読あり
標題	An Improved Design Scheme for Perceptual Hashing based on CNN for Digital Watermarking
執筆形態	共著
掲載誌名	2020 IEEE 44th Annual Computers, Software, and Applications Conference (COMPSAC)
掲載区分	国外
出版社・発行元	IEEE
巻・号・頁	pp.1789-1894
著者・共著者	Zhaoxiong Meng, Tetsuya Morizumi, Sumiko Miyata, Hirotsugu Kinoshita
概要	In the proposed method, we first construct a machine-learned CNN for accepting an image that we want to take the perceptual hash value. The perceptual hash value is the cryptographic hash value of the weights that make up the CNN. We then verify that the reconstructed CNN can guarantee the hash value used when obtaining the hash value, and confirm that the image to be verified is accepted and is the perceptual hash value of this image.
DOI	DOI: 10.1109/COMPSAC48688.2020.00048.