LymphNode enforces default-deny access control on DNNs by injecting GSUAP into the feature space to neutralize utility for unauthorized queries and selectively restore it for authorized inputs carrying a stealthy credential, using under 100 samples from surrogate data.
Densely connected convolutional networks
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Adding explanation supervision to training improves spatial alignment of saliency maps with clinical annotations on chest X-rays while keeping predictive accuracy comparable.
citing papers explorer
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LymphNode: A Plug-and-Play Access Control Method for Deep Neural Networks
LymphNode enforces default-deny access control on DNNs by injecting GSUAP into the feature space to neutralize utility for unauthorized queries and selectively restore it for authorized inputs carrying a stealthy credential, using under 100 samples from surrogate data.
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Explanation-Aware Learning for Enhanced Interpretability in Biomedical Imaging
Adding explanation supervision to training improves spatial alignment of saliency maps with clinical annotations on chest X-rays while keeping predictive accuracy comparable.