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cs.LG2022
Adversarial Defense via Image Denoising with Chaotic Encryption
Shi Hu, Eric Nalisnick, Max Welling
In the literature on adversarial examples, white box and black box attacks have received the most attention. The adversary is assumed to have either full (white) or no (black) acce…
cs.LG2020
Learning to Predict Error for MRI Reconstruction
Shi Hu, Nicola Pezzotti, Max Welling
In healthcare applications, predictive uncertainty has been used to assess predictive accuracy. In this paper, we demonstrate that predictive uncertainty estimated by the current m…
cs.LG2019
Supervised Uncertainty Quantification for Segmentation with Multiple Annotations
Shi Hu, Daniel Worrall, Stefan Knegt +3
The accurate estimation of predictive uncertainty carries importance in medical scenarios such as lung node segmentation. Unfortunately, most existing works on predictive uncertain…