Digital watermarking as an adversarial attack on medical image analysis with deep learning

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Summary

The paper discusses the use of digital watermarking as a potential adversarial attack on medical image analysis with deep learning, highlighting the risks posed by the massive use of watermarks for security reasons.

Categories

Cognitive function and memory: The paper discusses the use of Deep Neural Networks (DNNs) in medical image analysis, which involves cognitive function and memory.

Education and learning: The paper contributes to the field of education and learning by proposing a new category of adversarial attacks named watermarking attacks.

Phototherapy: The paper discusses digital watermarking, a form of phototherapy, as a potential adversarial attack on medical image analysis with deep learning.