9 citations · 11 across the 3 of their papers we have counts for
4 papers
Membership Inference Attacks Against Semantic Segmentation Models
Tomas Chobola, Dmitrii Usynin, Georgios Kaissis
Membership inference attacks aim to infer whether a data record has been used to train a target model by observing its predictions. In sensitive domains such as healthcare, this ca…
DELAD: Deep Landweber-guided deconvolution with Hessian and sparse prior
Tomas Chobola, Anton Theileis, Jan Taucher +1
We present a model for non-blind image deconvolution that incorporates the classic iterative method into a deep learning application. Instead of using large over-parameterised gene…
Transfer learning based few-shot classification using optimal transport mapping from preprocessed latent space of backbone neural network
Tomáš Chobola, Daniel Vašata, Pavel Kordík
MetaDL Challenge 2020 focused on image classification tasks in few-shot settings. This paper describes second best submission in the competition. Our meta learning approach modifie…
Unsupervised Latent Space Translation Network
Magda Friedjungová, Daniel Vašata, Tomáš Chobola +1
One task that is often discussed in a computer vision is the mapping of an image from one domain to a corresponding image in another domain known as image-to-image translation. Cur…