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Machine Learning Model Parameter Based Encryption Patent Application

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Summary

The USPTO has published a patent application (US20260087122A1) detailing a method for encrypting data using machine learning model parameters. The application describes a system that modifies encoder and decoder weights based on generated keys derived from a password to encapsulate and decode data.

What changed

This document is a published patent application from the USPTO, not a regulatory rule or guidance. It describes a novel method for data encryption that leverages machine learning model parameters. The proposed system involves receiving a password to generate a key, which then modifies the weights and biases of an encoder and decoder. This modified encoder-decoder pair is used to encapsulate secondary data within first data, creating an embedding that can be decoded to retrieve the original second data.

As a patent application, this document does not impose any immediate compliance obligations or deadlines on regulated entities. However, it signals potential future technological developments in cybersecurity and data protection that companies, particularly in the technology sector, may wish to monitor. The underlying concepts could influence the development of new encryption standards or security products.

Archived snapshot

Mar 26, 2026

GovPing captured this document from the original source. If the source has since changed or been removed, this is the text as it existed at that time.

← USPTO Patent Applications

Machine Learning Model Parameter Based Encryption

Application US20260087122A1 Kind: A1 Mar 26, 2026

Inventors

Julian Collado Umana, Andrew Davis

Abstract

A first password is received by a password encoder which uses the first password to generate a first key. This first key is used to modify weights and biases of an encoder to result in a modified encoder. Further, weights and biases of a decoder operating in tandem with the encoder based can be modified based on a second key to result in a modified decoder. First data is received which encapsulates second data in a hidden compartment. The first data is encoded by the modified encoder to result to generate an embedding. The modified decoder decodes the embedding to result in a representation of the second data which, in turn, can be provided to a consuming application or process. The first data can be input into the encoder and the decoder prior to those components being modified to result in a representation of the first data.

CPC Classifications

G06F 21/46 H04L 9/0838 H04L 9/0869 H04L 9/088 H04L 9/14 H04L 63/083

Filing Date

2025-03-28

Application No.

19094688

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Last updated

Classification

Agency
USPTO
Published
March 26th, 2026
Instrument
Notice
Legal weight
Non-binding
Stage
Final
Change scope
Minor
Document ID
US20260087122A1

Who this affects

Applies to
Technology companies
Industry sector
5112 Software & Technology
Activity scope
Data Encryption Cybersecurity
Geographic scope
United States US

Taxonomy

Primary area
Cybersecurity
Operational domain
IT Security
Topics
Artificial Intelligence Data Privacy

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