The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.

The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.

Date of Patent:
Sep. 09, 2025

Filed:

Feb. 23, 2023
Applicant:

Adobe Inc., San Jose, CA (US);

Inventors:

Franck Dernoncourt, Spokane, WA (US);

Tong Sun, San Ramon, CA (US);

Thi Kim Phung Lai, San Jose, CA (US);

Rajiv Bhawanji Jain, Falls Church, VA (US);

Nikolaos Barmpalios, Sunnyvale, CA (US);

Jiuxiang Gu, Baltimore, MD (US);

Assignee:

Adobe Inc., San Jose, CA (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06F 40/295 (2020.01); G06F 40/274 (2020.01);
U.S. Cl.
CPC ...
G06F 40/295 (2020.01); G06F 40/274 (2020.01);
Abstract

In implementations of systems for training language models and preserving privacy, a computing device implements a privacy system to predict a next word after a last word in a sequence of words by processing input data using a machine learning model trained on training data to predict next words after last words in sequences of words. The training data describes a corpus of text associated with clients and including sensitive samples and non-sensitive samples. The machine learning model is trained by sampling a client of the clients and using a subset of the sensitive samples associated with the client and a subset of the non-sensitive samples associated with the client to update parameters of the machine learning model. The privacy system generates an indication of the next word after the last word in the sequence of words for display in a user interface.


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