Abstract: K-nearest neighbor (KNN) algorithm is a simple and widely used classification method in machine learning. This algorithm tries to search every object in the dataset to find the nearest ...
SPADE (Cohen et al. 2021) - knn in z-space and distance to feature maps PaDiM* (Defard et al. 2020) - distance to multivariate Gaussian of feature maps PatchCore (Roth et al. 2021) - knn distance to ...
Please note that these are just the code examples accompanying the book, which we uploaded for your convenience; be aware that these notebooks may not be useful without the formulae and descriptive ...
Abstract: With increasing ethical and legal concerns on privacy for deep models in visual recognition, differential privacy has emerged as a mechanism to disguise membership of sensitive data in ...
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