no code implementations • 24 Jan 2024 • Peter Horvath, Lukasz Chmielewski, Leo Weissbart, Lejla Batina, Yuval Yarom
The results of the analysis show that neural network architectures are easily distinguishable using deep learning-based side-channel analysis.
no code implementations • 25 Nov 2021 • Jozsef Molnar, Peter Horvath
We introduce a novel approach for object segmentation from 3D images using modified minimal path Eikonal equation.
no code implementations • 31 Jul 2019 • Jozsef Molnar, Peter Horvath
As the continuation of the contour mean calculation - designed for averaging the manual delineations of 3D layer stack images - in this paper, the most important equations: a) the reparameterization equations to determine the minimizing diffeomorphism and b) the proper centroid calculation for the surface mean calculation are presented.
2 code implementations • 2 May 2018 • Tivadar Danka, Peter Horvath
modAL is a modular active learning framework for Python, aimed to make active learning research and practice simpler.