Adversary-Robust Graph-Based Learning of WSIs

arXiv:2403.14489v1 Announce Type: new
Abstract: Enhancing the robustness of deep learning models against adversarial attacks is crucial, especially in critical domains like healthcare where significant financial interests heighten the risk of such attacks. Whole slide images (WSIs) are high-resolution, digitized versions of tissue samples mounted on glass slides, scanned using sophisticated imaging equipment. The digital analysis of WSIs presents unique challenges due to their gigapixel size and multi-resolution storage format. In this work, we aim at improving the robustness of …

abstract adversarial adversarial attacks arxiv attacks cs.cv deep learning digital domains equipment financial glass graph graph-based healthcare images imaging risk robust robustness samples slides type versions