{"metadata":{"_oai":{"id":"oai:ipsj.ixsq.nii.ac.jp:00232625","sets":["1164:4061:11479:11513"]},"path":["11513"],"owner":"44499","recid":"232625","title":["単眼深度推定モデルの敵対的サンプルを用いたディスプレイーカメラ可視光通信の評価実験"],"pubdate":{"attribute_name":"公開日","attribute_value":"2024-02-22"},"_buckets":{"deposit":"952d7505-9799-47a1-8dfd-7dd9534b3045"},"_deposit":{"id":"232625","pid":{"type":"depid","value":"232625","revision_id":0},"owners":[44499],"status":"published","created_by":44499},"item_title":"単眼深度推定モデルの敵対的サンプルを用いたディスプレイーカメラ可視光通信の評価実験","author_link":["630214","630210","630209","630215","630211","630208","630212","630217","630216","630213"],"item_titles":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"単眼深度推定モデルの敵対的サンプルを用いたディスプレイーカメラ可視光通信の評価実験"},{"subitem_title":"Evaluation Experiment of Display Camera Visible Light Communication Using Adversarial Examples on a Monocular Depth Estimation Model","subitem_title_language":"en"}]},"item_keyword":{"attribute_name":"キーワード","attribute_value_mlt":[{"subitem_subject":"通信・IoT","subitem_subject_scheme":"Other"}]},"item_type_id":"4","publish_date":"2024-02-22","item_4_text_3":{"attribute_name":"著者所属","attribute_value_mlt":[{"subitem_text_value":"名古屋大学工学研究科 情報・通信工学専攻"},{"subitem_text_value":"名古屋大学 未来材料・システム研究所"},{"subitem_text_value":"静岡大学大学院 総合科学技術研究科"},{"subitem_text_value":"名古屋大学 未来材料・システム研究所"},{"subitem_text_value":"名古屋大学 未来材料・システム研究所"}]},"item_4_text_4":{"attribute_name":"著者所属(英)","attribute_value_mlt":[{"subitem_text_value":"Department of Information and Communication Engineering, Nagoya University","subitem_text_language":"en"},{"subitem_text_value":"Institute of Materials and Systems for Sustainability, Nagoya University","subitem_text_language":"en"},{"subitem_text_value":"Graduate School of Integrated Science and Technology, Shizuoka University","subitem_text_language":"en"},{"subitem_text_value":"Institute of Materials and Systems for Sustainability, Nagoya University","subitem_text_language":"en"},{"subitem_text_value":"Institute of Materials and Systems for Sustainability, Nagoya University","subitem_text_language":"en"}]},"item_language":{"attribute_name":"言語","attribute_value_mlt":[{"subitem_language":"jpn"}]},"item_publisher":{"attribute_name":"出版者","attribute_value_mlt":[{"subitem_publisher":"情報処理学会","subitem_publisher_language":"ja"}]},"publish_status":"0","weko_shared_id":-1,"item_file_price":{"attribute_name":"Billing file","attribute_type":"file","attribute_value_mlt":[{"url":{"url":"https://ipsj.ixsq.nii.ac.jp/record/232625/files/IPSJ-UBI24081021.pdf","label":"IPSJ-UBI24081021.pdf"},"format":"application/pdf","billing":["billing_file"],"filename":"IPSJ-UBI24081021.pdf","filesize":[{"value":"1.9 MB"}],"mimetype":"application/pdf","priceinfo":[{"tax":["include_tax"],"price":"0","billingrole":"36"},{"tax":["include_tax"],"price":"0","billingrole":"44"}],"accessrole":"open_login","version_id":"001eb7d0-e5b8-411b-8339-b815e74e4094","displaytype":"detail","licensetype":"license_note","license_note":"Copyright (c) 2024 by the Institute of Electronics, Information and Communication Engineers This SIG report is only available to those in membership of the SIG."}]},"item_4_creator_5":{"attribute_name":"著者名","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"イ, チャンソク"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"岡田, 啓"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"和田, 忠浩"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"ベンナイラ, シャドリア"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"片山, 正昭"}],"nameIdentifiers":[{}]}]},"item_4_creator_6":{"attribute_name":"著者名(英)","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"Changseok, Lee","creatorNameLang":"en"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"Hiraku, Okada","creatorNameLang":"en"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"Tadahiro, Wada","creatorNameLang":"en"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"Chedlia, Ben Naila","creatorNameLang":"en"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"Masaaki, Katayama","creatorNameLang":"en"}],"nameIdentifiers":[{}]}]},"item_4_source_id_9":{"attribute_name":"書誌レコードID","attribute_value_mlt":[{"subitem_source_identifier":"AA11838947","subitem_source_identifier_type":"NCID"}]},"item_4_textarea_12":{"attribute_name":"Notice","attribute_value_mlt":[{"subitem_textarea_value":"SIG Technical Reports are nonrefereed and hence may later appear in any journals, conferences, symposia, etc."}]},"item_resource_type":{"attribute_name":"資源タイプ","attribute_value_mlt":[{"resourceuri":"http://purl.org/coar/resource_type/c_18gh","resourcetype":"technical report"}]},"item_4_source_id_11":{"attribute_name":"ISSN","attribute_value_mlt":[{"subitem_source_identifier":"2188-8698","subitem_source_identifier_type":"ISSN"}]},"item_4_description_7":{"attribute_name":"論文抄録","attribute_value_mlt":[{"subitem_description":"人が視認しにくいディスプレイーカメラ可視光通信は画像や動画などの視覚情報に視認できないような方法でデータを埋め込み，視覚情報と同時にデータを送る手法である．その一つとして，単眼深層学習モデルの敵対的サンプルを用いたディスプレイーカメラ可視光通信を提案した．しかし，敵対的サンプルは小さい画素値の変化のため，移動，回転，拡大，ぼかし，ノイズ，色変化などの通信路による影響を受けやすい．そこで，本研究ではその対策となる Expectation over Transformation (EOT) を導入する．EOT は予想できる通信路の影響を敵対的サンプルの生成過程に加えることで，敵対的サンプルの通信路の影響への耐性をつける手法である．本研究では EOT 導入の効果を実装実験により評価し，この新たな手法の有効性を示す．","subitem_description_type":"Other"}]},"item_4_description_8":{"attribute_name":"論文抄録(英)","attribute_value_mlt":[{"subitem_description":"Hidden display-camera visible light communication is a method of embedding data in visual information such as images and videos in a way that is not visually noticeable, and transmitting the data simultaneously with visual information. As one of these methods, display camera visible light communication using adversarial examples on a monocular deep estimation model was proposed. However, adversarial samples are susceptible to the effects of communication channel noise such as movement, rotation, enlargement, blurring, noise, and color changes, as they involve small pixel value changes. Therefore, in this study, we introduce Expectation over Transformation (EOT) as a countermeasure. EOT is a method that adds expected communication channel noise to the generation process of adversarial samples to impart resistance to communication channel noise. In this study, we evaluate the impact of introducing EOT through experiments, demonstrating the effectiveness of this novel approach.","subitem_description_type":"Other"}]},"item_4_biblio_info_10":{"attribute_name":"書誌情報","attribute_value_mlt":[{"bibliographicPageEnd":"6","bibliographic_titles":[{"bibliographic_title":"研究報告ユビキタスコンピューティングシステム（UBI）"}],"bibliographicPageStart":"1","bibliographicIssueDates":{"bibliographicIssueDate":"2024-02-22","bibliographicIssueDateType":"Issued"},"bibliographicIssueNumber":"21","bibliographicVolumeNumber":"2024-UBI-81"}]},"relation_version_is_last":true,"weko_creator_id":"44499"},"id":232625,"updated":"2025-01-19T10:23:13.261856+00:00","links":{},"created":"2025-01-19T01:33:36.135982+00:00"}