@inproceedings{634023c0d334459a811297211736e01a,
title = "Hiding Data in Images Using Spectral Filtering and Deep Neural Networks",
abstract = "Privacy preserving and data security is one of the major concerns of our world. In this study we deal with one aspect, namely shoulder surfing, where sensitive information may be accessed by looking at the display or keyboard of the user. We propose a method of hiding information in color images so that it can not be perceived by the naked eye and requires a spectral filter to be seen. We term such images Spectral Hiding Images. In this work we developed a system which can automatically generate Spectral Hiding Images. We focus on a basic class of images containing a single numeric digit. We train three deep networks to determine the salient digit in an image, determine the hidden and masked digits in a spectral hiding image and to generate diverse spectral hiding digit images. Mass producing such Spectral Hiding Images using our system will allow for screen content hiding and password hiding. Additionally we show that several Gestalt principles of human perception, are expressed in the trained networks' behavior.",
keywords = "Data hiding, color images, deep neural networks, shoulder surfing, spectral filtering, user privacy",
author = "Hadar Shalev and Pe'Erly Setter and Ruth Kimchi and Hagit Hel-Or",
note = "Publisher Copyright: {\textcopyright} 2020 IEEE.; 2020 International Joint Conference on Neural Networks, IJCNN 2020 ; Conference date: 19-07-2020 Through 24-07-2020",
year = "2020",
month = jul,
doi = "https://doi.org/10.1109/ijcnn48605.2020.9207126",
language = "American English",
series = "Proceedings of the International Joint Conference on Neural Networks",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
booktitle = "2020 International Joint Conference on Neural Networks, IJCNN 2020 - Proceedings",
address = "United States",
}