InfoResearchPreprint
Your Secrets Are Showing: Deep Image Hiding Models Are Surprisingly Easy to Attack
- Published
- Record updated
Summary
Researchers asked whether an attacker can identify the content of images hidden by deep image hiding models without knowing which model produced them. They built a dataset of stego images from 11 hiding models and trained a single decoder, based on HiNet, that extracts secret content across unseen models, with humans and machines able to recognize it. The attack also reveals content hidden by AIRPNet, a privacy-oriented image restoration method.
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