US 12,254,104 B1
Hidden compartments in data encrypted using machine learning
Julian Collado Umana, Irvine, CA (US); and Andrew Davis, Portland, OR (US)
Assigned to HiddenLayer, Inc., Austin, TX (US)
Filed by HiddenLayer, Inc., Austin, TX (US)
Filed on Nov. 15, 2024, as Appl. No. 18/949,882.
Application 18/949,882 is a continuation of application No. 18/892,113, filed on Sep. 20, 2024.
This patent is subject to a terminal disclaimer.
Int. Cl. G06F 21/62 (2013.01); G06F 21/46 (2013.01)
CPC G06F 21/62 (2013.01) [G06F 21/46 (2013.01)] 25 Claims
OG exemplary drawing
 
1. A computer-implemented method comprising:
generating an embedding of first data by an encoder forming part of a model, the model further comprising a decoder and encapsulating second data in a hidden compartment;
receiving a password by a password encoder comprising a neural network;
generating, by the password encoder and based on the password, a key;
inputting a combination of the embedding and the key into the decoder to generate the second data; and
providing the second data to a consuming application or process.