41 citations · 153 across the 14 of their papers we have counts for
8 papers · 1 filter
Stealing Knowledge from Protected Deep Neural Networks Using Composite Unlabeled Data
Itay Mosafi, Eli David, Nathan S. Netanyahu
As state-of-the-art deep neural networks are deployed at the core of more advanced Al-based products and services, the incentive for copying them (i.e., their intellectual properti…
DeepEthnic: Multi-Label Ethnic Classification from Face Images
Katia Huri, Eli David, Nathan S. Netanyahu
Ethnic group classification is a well-researched problem, which has been pursued mainly during the past two decades via traditional approaches of image processing and machine learn…
A Novel Hybrid Scheme Using Genetic Algorithms and Deep Learning for the Reconstruction of Portuguese Tile Panels
Daniel Rika, Dror Sholomon, Eli David +1
This paper presents a novel scheme, based on a unique combination of genetic algorithms (GAs) and deep learning (DL), for the automatic reconstruction of Portuguese tile panels, a…
Handwriting-Based Gender Classification Using End-to-End Deep Neural Networks
Evyatar Illouz, Eli David, Nathan S. Netanyahu
Handwriting-based gender classification is a well-researched problem that has been approached mainly by traditional machine learning techniques. In this paper, we propose a novel d…
Supervised and Unsupervised End-to-End Deep Learning for Gene Ontology Classification of Neural In Situ Hybridization Images
Ido Cohen, Eli David, Nathan S. Netanyahu
In recent years, large datasets of high-resolution mammalian neural images have become available, which has prompted active research on the analysis of gene expression data. Tradit…
End-to-End Deep Neural Networks and Transfer Learning for Automatic Analysis of Nation-State Malware
Ishai Rosenberg, Guillaume Sicard, Eli David
Malware allegedly developed by nation-states, also known as advanced persistent threats (APT), are becoming more common. The task of attributing an APT to a specific nation-state o…