Towards Deep Network Steganography: From Networks to Networks. (arXiv:2307.03444v1 [cs.CR])

With the widespread applications of the deep neural network (DNN), how to
covertly transmit the DNN models in public channels brings us the attention,
especially for those trained for secret-learning tasks. In this paper, we
propose deep network steganography for the covert communication of DNN models.
Unlike the existing steganography schemes which focus on the subtle
modification of the cover data to accommodate the secrets, our scheme is
learning task oriented, where the learning task of the secret DNN model …

applications attention communication covert network networks neural network public secret steganography