83 citations · 220 across the 18 of their papers we have counts for
4 papers · 1 filter
StatMix: Data augmentation method that relies on image statistics in federated learning
Dominik Lewy, Jacek Mańdziuk, Maria Ganzha +1
Availability of large amount of annotated data is one of the pillars of deep learning success. Although numerous big datasets have been made available for research, this is often n…
Using adversarial images to improve outcomes of federated learning for non-IID data
Anastasiya Danilenka, Maria Ganzha, Marcin Paprzycki +1
One of the important problems in federated learning is how to deal with unbalanced data. This contribution introduces a novel technique designed to deal with label skewed non-IID d…
Adversarial defenses via a mixture of generators
Maciej Żelaszczyk, Jacek Mańdziuk
In spite of the enormous success of neural networks, adversarial examples remain a relatively weakly understood feature of deep learning systems. There is a considerable effort in…
Prediction of the facial growth direction with Machine Learning methods
Stanisław Kaźmierczak, Zofia Juszka, Piotr Fudalej +1
First attempts of prediction of the facial growth (FG) direction were made over half of a century ago. Despite numerous attempts and elapsed time, a satisfactory method has not bee…