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arXiv Computer Vision By Zhe Li, Bernhard Kainz

Stain-Aware Wavelet Regularization for Instant Adversarial Purification in Histopathology

Read the original on arXiv Computer Vision →

Stain-Aware Wavelet Regularization (SAWR) is an adversarial purification framework designed for histopathology images. It uses multi-level Haar wavelet-domain regularization to separate adversarial noise from diagnostically relevant tissue structures, applying stain-specific frequency constraints for Hematoxylin and Eosin channels. Experiments show SAWR improves adversarial robustness by up to 10.69% while preserving texture and spectral fidelity.

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