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Investigating the privacy vulnerabilities in deep learning steganography using the membership inference attacks.

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Name		Name	Last commit message	Last commit date
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model		model
.gitignore		.gitignore
LICENSE		LICENSE
README.md		README.md
requirements.txt		requirements.txt
train_hidden.py		train_hidden.py
utils.py		utils.py

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Investigating Privacy Vulnerabilities in Deep Learning Steganography using Membership Inference Attacks (DLS-MIA)

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Investigating the privacy vulnerabilities in deep learning steganography using the membership inference attacks.

machine-learning privacy pytorch artificial-intelligence steganography watermark membership-inference-attack secruity

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Python 100.0%