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Differential Privacy and K-anonymity for Pedestrian Image Data: Impact on Cross-camera Person Re-identification and Demographic Predictions
http://hdl.handle.net/10061/0002001335
http://hdl.handle.net/10061/000200133532e740a9-0b29-4bba-a8bb-145111c7574e
| アイテムタイプ | 学術雑誌論文 / Journal Article(1) | |||||||||||||||||||
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| 公開日 | 2026-02-12 | |||||||||||||||||||
| タイトル | ||||||||||||||||||||
| タイトル | Differential Privacy and K-anonymity for Pedestrian Image Data: Impact on Cross-camera Person Re-identification and Demographic Predictions | |||||||||||||||||||
| 言語 | ||||||||||||||||||||
| 言語 | eng | |||||||||||||||||||
| キーワード | ||||||||||||||||||||
| 主題Scheme | Other | |||||||||||||||||||
| 主題 | Image Differential Privacy | |||||||||||||||||||
| キーワード | ||||||||||||||||||||
| 主題Scheme | Other | |||||||||||||||||||
| 主題 | Image K-anonymity | |||||||||||||||||||
| キーワード | ||||||||||||||||||||
| 主題Scheme | Other | |||||||||||||||||||
| 主題 | Person Re-identification | |||||||||||||||||||
| キーワード | ||||||||||||||||||||
| 主題Scheme | Other | |||||||||||||||||||
| 主題 | Demographic Predictions | |||||||||||||||||||
| 資源タイプ | ||||||||||||||||||||
| 資源タイプ | journal article | |||||||||||||||||||
| アクセス権 | ||||||||||||||||||||
| アクセス権 | open access | |||||||||||||||||||
| 著者 |
Maris, Lucas
× Maris, Lucas
× 松田, 裕貴
× 安本, 慶一
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| 抄録 | ||||||||||||||||||||
| 内容記述タイプ | Abstract | |||||||||||||||||||
| 内容記述 | Video cameras are prevalent in large cities but their use outside of public safety remains limited due to legitimate privacy concerns. Nevertheless, the rich information they can capture appears incredibly promising for large-scale smart city applications, as they can function as very powerful and versatile sensors. This ambivalence raises the question of whether such image data can be used in a privacy-responsible manner. Encryption-based solutions assume the end server can be trusted with keeping data safe; data leaks show us this assumption does not necessarily hold true. Traditional image obfuscation methods such as pixelization or blurring on the other hand fail to offer both sufficient privacy and utility. As such, privacy approaches that can provide privacy protection directly on the data itself while retaining practical utility are required. We here extend two such notions, differential privacy and -anonymity, to image data, and extensively evaluate the resulting privacy-utility tradeoff on cross-camera person re-identification and attribute recognition data. Our results show that our proposed approaches can significantly reduce the privacy-sensitivity of image data at source while retaining decent utility for vision-based smart city applications. | |||||||||||||||||||
| 書誌情報 |
en : ACM Transactions on Cyber-Physical Systems 巻 9, 号 4, p. 1-31, ページ数 31, 発行日 2025-10-13 |
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| 出版者 | ACM | |||||||||||||||||||
| ISSN | ||||||||||||||||||||
| 収録物識別子タイプ | EISSN | |||||||||||||||||||
| 収録物識別子 | 2378-9638 | |||||||||||||||||||
| 出版者版DOI | ||||||||||||||||||||
| 関連タイプ | isReplacedBy | |||||||||||||||||||
| 識別子タイプ | DOI | |||||||||||||||||||
| 関連識別子 | https://doi.org/10.1145/3743680 | |||||||||||||||||||
| 出版者版URI | ||||||||||||||||||||
| 関連タイプ | isReplacedBy | |||||||||||||||||||
| 識別子タイプ | URI | |||||||||||||||||||
| 関連識別子 | https://dl.acm.org/doi/full/10.1145/3743680 | |||||||||||||||||||
| 権利 | ||||||||||||||||||||
| 権利情報Resource | https://creativecommons.org/licenses/by/4.0/ | |||||||||||||||||||
| 権利情報 | ©2025 Copyright held by the owner/author(s). This work is licensed under Creative Commons Attribution International 4.0. | |||||||||||||||||||
| 著者版フラグ | ||||||||||||||||||||
| 出版タイプ | NA | |||||||||||||||||||
| 助成情報 | ||||||||||||||||||||
| 助成機関名 | Japan Society for the Promotion of Science (JSPS) | |||||||||||||||||||
| 研究課題番号 | JP21H03431 | |||||||||||||||||||
| 研究課題番号URI | https://kaken.nii.ac.jp/ja/grant/KAKENHI-PROJECT-21H03431/ | |||||||||||||||||||
| 研究課題名 | マルチモーダルセンシングとモバイルフェデレーション学習による場所コンテキスト収集 | |||||||||||||||||||
| 助成情報 | ||||||||||||||||||||
| 助成機関名 | Japan Society for the Promotion of Science (JSPS) | |||||||||||||||||||
| 研究課題番号 | JP24K20763 | |||||||||||||||||||
| 研究課題番号URI | https://kaken.nii.ac.jp/ja/grant/KAKENHI-PROJECT-24K20763/ | |||||||||||||||||||
| 研究課題名 | エッジAIの継続的な知識獲得のためのユーザ参加型アノテーション | |||||||||||||||||||
| 助成情報 | ||||||||||||||||||||
| 助成機関名 | Japan Society for the Promotion of Science (JSPS) | |||||||||||||||||||
| 研究課題番号 | JP25K03107 | |||||||||||||||||||
| 研究課題番号URI | https://kaken.nii.ac.jp/ja/grant/KAKENHI-PROJECT-25K03107/ | |||||||||||||||||||
| 研究課題名 | データの有用性とプライバシー保護を両立する選択的撮像制御基盤 | |||||||||||||||||||
