@techreport{oai:ipsj.ixsq.nii.ac.jp:02010302,
 author = {片貝,直登 and 竹本,修 and 野崎,佑典 and 吉川,雅弥 and Naoto Katakai and Shu Takemoto and Yusuke Nozaki and Masaya Yoshikawa},
 issue = {9},
 month = {Jul},
 note = {既存のAEベース指紋手法は，特定モデルの出力分布を制御することで所有権検証を行う．しかし，クラウドサービス等では入力画像にCR処理やJPEG圧縮が施される場合があり，これらの前処理によりAEの微小摂動が変化し，指紋応答が失われる可能性がある．本研究では，前処理に対する指紋応答の保持に焦点を当て，EOTによりCR処理およびJPEG圧縮をAE生成過程に組み込むことで，複合前処理に対して頑健なモデル指紋生成を提案する．, Existing AE-based fingerprinting methods verify ownership by controlling the output distribution of a specific model. However, in cloud services and similar environments, input images may be subjected to CR processing or JPEG compression. Such preprocessing can alter the subtle perturbations introduced by AEs, potentially causing the fingerprint response to be lost. In this study, we focus on preserving fingerprint responses under preprocessing and propose a robust model fingerprint generation method against combined preprocessing by incorporating CR processing and JPEG compression into the AE generation process using EOT.},
 title = {複数入力前処理下におけるソフトラベル制御型モデル指紋の頑健性と検証能力の評価},
 year = {2026}
}