US20260111573A1, Method Program Apparatus Processing Sensitive Data
Summary
USPTO published patent application US20260111573A1 on April 23, 2026, filed December 17, 2025 (Application No. 19423828), covering an apparatus, program, and method for processing sensitive data via text tokenizing, hashing reference tokens, and encoding text statements using the generated hash values. The invention classifies under CPC groups G06F 21/602 (digital data protection), G06F 40/284 (text tokenization), and G06N 3/04 (neural network architectures). Inventors are Quentin-Gabriel Thurier and Soon-Ee Cheah. This is a published patent application — not a granted patent — and creates no compliance obligations.
“An apparatus, program, and method provide data processing functions for processing text statements.”
About this source
USPTO classification G06N covers computer systems based on specific computational models: neural networks, knowledge representation, fuzzy logic, expert systems, evolutionary algorithms. With the AI patent boom, this is one of the most-filed application classes in the office. Every newly published application in G06N lands in this feed, around 230 a month. Patent applications publish 18 months after filing, so this feed reveals what AI labs and companies were working on in the prior year and a half. Watch this if you compete in machine learning, file freedom-to-operate analyses, scout acquisition targets in AI infrastructure, or track which research groups are converting publications to patents. GovPing pulls each application with the filing number, title, applicant, and abstract.
What changed
USPTO published patent application US20260111573A1 for an apparatus, program, and method that processes sensitive text data through tokenization, hash-based encoding, and neural-network training. The application covers both a training phase — where text statements are tokenized, a vocabulary and reference token set are established, and hash values are assigned — and a live phase — where new input text is encoded using the same hash mapping and processed by the trained model.
Affected parties include developers of NLP systems, AI/ML platforms, and data-processing applications handling sensitive text. This publication represents intellectual-property filing activity; it does not create regulatory obligations, enforce compliance requirements, or impose deadlines. Organizations implementing text-hashing or privacy-preserving NLP techniques may wish to review the published claims when the patent grants to assess potential licensing implications.
Archived snapshot
Apr 24, 2026GovPing 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.
Method, Program, and Apparatus for Processing Sensitive Data
Application US20260111573A1 Kind: A1 Apr 23, 2026
Inventors
Quentin-Gabriel Thurier, Soon-Ee Cheah
Abstract
An apparatus, program, and method provide data processing functions for processing text statements. A training phase of the data processing function includes: tokenizing each of a plurality of training text statements into respective training sets; determining, among the training sets, the vocabulary size, and a reference set of text tokens, being a subset of the unique text tokens; generating a reference set of hash values by hashing each of the reference set; for each tokenized training text statement, producing an encoded version comprising: for each text token that hashes to one of the reference set of hash values, the hash value; training the data processing function based on the encoded versions of the tokenized text statements. A live phase of the data processing function includes: producing an encoded version of the tokenized input text statement; executing the trained data processing function on the encoded version of the input text statement.
CPC Classifications
G06F 21/602 G06F 40/284 G06N 3/04
Filing Date
2025-12-17
Application No.
19423828
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