Optimizing GANs for Cryptography: The Role and Impact of Activation Functions in Neural Layers Assessing the Cryptographic Strength

Optimizing GANs for Cryptography: The Role and Impact of Activation Functions in Neural Layers Assessing the Cryptographic Strength

Generative Adversarial Networks (GANs) have surfaced as a transformative approach in the domain of cryptography, introducing a novel paradigm where two neural networks, the generator (akin to Alice) and the discriminator (akin to Bob), are pitted against each other in a cryptographic setting. A thir...

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Bibliographic Details
Main Authors: Purushottam Singh, Sandip Dutta, Prashant Pranav
Format: Article
Language:English
Published: MDPI AG 2024-03-01
Series:Applied Sciences
Subjects:
neural network
activation function
security
generative adversarial network
cryptography
Online Access:https://www.mdpi.com/2076-3417/14/6/2379

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https://www.mdpi.com/2076-3417/14/6/2379

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