Patent ID: 11893094
Assignee: UNIVERSITY OF SHARJAH
Field: Computer technology (Electrical engineering)
Classification: CPC G | IPC G

Claim 0:
1. A method of data hiding based on exploiting redundant information of a deep machine learning model, the method comprising:
extracting weights of the deep machine learning model; creating homogeneous segments out of the extracted weights;
transforming the extracted weights into a frequency domain;
identifying insignificant coefficients of the frequency domain and replacing the insignificant coefficients with a watermark signal; and transforming the modified weights back to a native domain,
adopting a discrete cosine transform (DCT) to express the deep neural network (DNN) weights vector within significant DCT coefficients, leaving a plurality of the insignificant coefficients to host part of a digital watermark,
strengthening a compaction property of the DCT when applied to correlated segments of data, and therefore, weights are segmented into correlated segments before applying the DCT.