Adversarial Analysis for Source Camera Identification

Recent studies highlight the vulnerability of convolutional neural networks (CNNs) to adversarial attacks, which also calls into question the reliability of forensic methods. Existing adversarial attacks generate one-to-one noise, which means these methods have not learned the fingerprint informatio...

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Veröffentlicht in:	IEEE transactions on circuits and systems for video technology 2021-11, Vol.31 (11), p.4174-4186
Hauptverfasser:	Wang, Bo, Zhao, Mengnan, Wang, Wei, Dai, Xiaorui, Li, Yi, Guo, Yanqing
Format:	Artikel
Sprache:	eng
Schlagworte:	Adversarial attacks Artificial neural networks Cameras Feature extraction fingerprint copy-move attack Fingerprints Forensics joint feature-based auto-learning attack Neural networks Noise generation Perturbation methods relation mismatch Task analysis Training
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