The General Neural-Network Paradigm for Visual Cryptography

This paper proposes the general paradigm to build Q'tron neural networks (NNs) for visual cryptography. Given a visual encryption scheme, usually described using an access structure, it was formulated as a optimization problem of integer programming by which the a Q'tron NN with the so-called integer-programmingtype energy function is, then, built to ful¯ll that scheme. Remarkably, this type of energy function has the so-called known-energy property, which allows us to inject bounded noises persistently into Q'trons in the NN to escape local minima. The so-built Q'tron NN, as a result, will settle down onto a solution state if and only if the instance of the given encryption scheme is realizable.

• Type: Conference
• Year: 2001
• Where: IWANN
• Authors: Tai-Wen Yue, Suchen Chiang
• Keywords: Encryption Scheme, Energy Function, IWANN 2001, Neural Networks, Visual Encryption Scheme