5 citations · 6 across the 2 of their papers we have counts for
3 papers
cs.CV2022★ 1 cited
Saliency Map Based Data Augmentation
Jalal Al-afandi, Bálint Magyar, András Horváth
Data augmentation is a commonly applied technique with two seemingly related advantages. With this method one can increase the size of the training set generating new samples and a…
cs.LG2020
Filtered Batch Normalization
Andras Horvath, Jalal Al-afandi
It is a common assumption that the activation of different layers in neural networks follow Gaussian distribution. This distribution can be transformed using normalization techniqu…
cs.LG2019★ 5 cited
MimosaNet: An Unrobust Neural Network Preventing Model Stealing
Kálmán Szentannai, Jalal Al-Afandi, András Horváth
Deep Neural Networks are robust to minor perturbations of the learned network parameters and their minor modifications do not change the overall network response significantly. Thi…