Deepfake fingerprint detection model Intellectual Property Protection via Ridge Texture Enhancement

In addition to relying on super computing power and professional domain knowledge, training a high-precision deepfake fingerprint detection model (DFDM) to authenticate the fingerprints also requires the support of massive private fingerprint data. To sum up, the DFDM should be deemed as intellectua...

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Veröffentlicht in:	IEEE signal processing letters 2023-01, Vol.30, p.1-5
Hauptverfasser:	Yuan, Chengsheng, Guo, Qiang, Zhou, Zhili, Fu, Zhangjie, Xia, Zhihua
Format:	Artikel
Sprache:	eng
Schlagworte:	Computational modeling Data models Deception Deepfake Fingerprint Detection Feature Knowledge Fingerprint recognition Fingerprints Intellectual property Intellectual Property Protection IP networks Model Stealing Model Watermarking Task analysis Texture Training
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