activity
20192026
most citedMimosaNet: An Unrobust Neural Network Preventing Model Stealing

5 citations · 6 across the 4 of their papers we have counts for

collaborators

5 papers

cs.CV2026

Corpus Augmentation for Sign Language Translation via LLM-Guided Video Stitching

Zsolt Robotka, Ádám Rák, Jalal Al-Afandi +2

Sign language translation (SLT) converts sign language video into spoken language text and holds significant promise for improving accessibility and enabling communication between…

cs.LG2026

KAYRA: A Microservice Architecture for AI-Assisted Karyotyping with Cloud and On-Premise Deployment

Attila Pintér, Javier Rico, Attila Répai +5

We present KAYRA, an end-to-end karyotyping system that operates inside the operational constraints of a clinical cytogenetic laboratory. KAYRA is architected as a containerized mi…

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…