Patents

US 12737495 B2: Machine learning training with enforced differential privacy using secure multi-party computation

Granted
2026-09-15
Filed
2024-07-01 application 18760772
Type
Utility · 19 claims
Elsewhere
Google Patents ↗ · USPTO patent document ↗ · USPTO Patent Center record ↗

Abstract

Methods and systems for training machine learning models with enforced differential privacy using Secure Multi-Party Computation (SMPC) protocols are disclosed. A method for generating random bits for a Secure Multi-Party Computation (SMPC) protocol in a machine learning model training system includes locally generating, at each participating node, a plurality of random bits using a cryptographically secure pseudorandom number generator (CSPRNG). The locally generated random bits provided as input to the SMPC protocol and combined using an exclusive or (XOR) or addition operation to produce a set of combined random bits. A statistical sampling process for Differential Privacy (DP) is performed using the combined random bits as inputs. The perturbed training data is then utilized in the SMPC protocol to train the machine learning model.

Source: PTBLXML, file of 2026-09-15 (ipgb20260915.xml).

Assignees

AssigneeTypePlaceAlso on furp.orgSource
Enveil, Inc. 31 patentsUS company or organizationFulton, MDENVEIL, INC. State business registration EXACT high confidence: identical full name and state
Enveil, Inc. Form D issuer EXACT high confidence: identical full name and state
ENVEIL, INC. Federal lobbying client EXACT high confidence: identical full name and state
PTBLXML, file of 2026-09-15

Inventors

InventorPlacePatentsPerson pageSource
Ryan CarrFulton, MD34PTBLXML, file of 2026-09-15
Jeffery HeinGlen Burnie, MDPTBLXML, file of 2026-09-15
Guillermo GutierrezMcLean, VAPTBLXML, file of 2026-09-15
Lauren ProczCrofton, MDPTBLXML, file of 2026-09-15
Claire TomeschBaltimore, MDPTBLXML, file of 2026-09-15
Yizhou LiMcLean, VAPTBLXML, file of 2026-09-15

CPC categories

SubclassCategoryFirst groupSource
G06FElectric digital data processingG06F21/6245PTBLXML, file of 2026-09-15
H04LTransmission of digital information, e.g. telegraphic communicationH04L9/0643PTBLXML, file of 2026-09-15
G06NComputing arrangements based on specific computational modelsG06N20/00PTBLXML, file of 2026-09-15

Cooperative Patent Classification, as currently assigned (one row per subclass).

Assignments and security interests

No recorded assignments or security interests on file for this patent.

USPTO bulk data: PatentsView granted patents, disambiguated (PVGPATDIS) for patents, assignees, inventors, places and CPC categories; the USPTO Patent Assignment Dataset (ECORSEXC) for assignments and security interests. Patents filed in the last 20 years. No claims or full text. Links to other records are by name (and state): EXACT means the identical full name and state; FUZZY means a looser name match, with the confidence shown.