Digital watermarking as an adversarial attack on medical image analysis with deep learning
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.
Author(s)
KD Apostolidis, GA Papakostas
Publication Year:
2022
Number of Citations:
12
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