A Brief Survey on Deep Learning Based Data Hiding, Steganography and Watermarking

• URL: http://arxiv.org/abs/2103.01607v1
• Date: Tue, 2 Mar 2021 10:01:03 GMT
• Title: A Brief Survey on Deep Learning Based Data Hiding, Steganography and Watermarking
• Authors: Chaoning Zhang, Chenguo Lin, Philipp Benz, Kejiang Chen, Weiming Zhang and In So Kweon
• Abstract summary: We conduct a brief yet comprehensive review of existing literature and outline three meta-architectures. Based on this, we summarize specific strategies for various applications of deep hiding, including steganography, light field messaging and watermarking.
• Score: 98.1953404873897
• License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
• Abstract: Data hiding is the art of concealing messages with limited perceptual changes. Recently, deep learning has provided enriching perspectives for it and made significant progress. In this work, we conduct a brief yet comprehensive review of existing literature and outline three meta-architectures. Based on this, we summarize specific strategies for various applications of deep hiding, including steganography, light field messaging and watermarking. Finally, further insight into deep hiding is provided through incorporating the perspective of adversarial attack.

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