Invention Grant
- Patent Title: Systems and methods for tree-based model inference using multi-party computation
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Application No.: US17939285Application Date: 2022-09-07
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Publication No.: US11843587B2Publication Date: 2023-12-12
- Inventor: Babak Poorebrahim Gilkalaye , Gharib Gharibi , Greg Storm , Riddhiman Das
- Applicant: TripleBlind, Inc.
- Applicant Address: US MO Kansas City
- Assignee: TripleBlind, Inc.
- Current Assignee: TripleBlind, Inc.
- Current Assignee Address: US MO Kansas City
- Main IPC: H04L9/40
- IPC: H04L9/40 ; G06N3/082 ; H04L9/00 ; G06F17/16 ; G06N3/04 ; H04L9/06 ; G06F18/24 ; G06F18/2113 ; G06N3/098 ; G06N3/048 ; G06F16/13 ; G06F21/62

Abstract:
A system and method for securely computing an inference of two types of tree-based models, namely XGBoost and Random Forest, using secure multi-party computation protocol. The method includes computing a respective comparison result of each respective node of a plurality of nodes in a tree classifier. Each node has a respective threshold value. The respective comparison result is based on respective data associated with a data owner device being applied to a respective node having the respective threshold value. The method includes computing, based on the respective comparison result, a leaf value associated with the tree classifier, generating a share of the leaf value and transmitting, to the data owner device, a share of the leaf value. The data owner device computes, using a secure multi-party computation and between the model owner device and the data owner device, the leaf value for the respective data of the data owner.
Public/Granted literature
- US20230006978A1 SYSTEMS AND METHODS FOR TREE-BASED MODEL INFERENCE USING MULTI-PARTY COMPUTATION Public/Granted day:2023-01-05
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