- Patent Title: Systems and methods for quantifying data leakage from a split layer
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Application No.: US17592072Application Date: 2022-02-03
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Publication No.: US12288157B2Publication Date: 2025-04-29
- Inventor: Gharib Gharibi , Andrew Rademacher , 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: G06N3/08
- IPC: G06N3/08 ; G06N3/04

Abstract:
A system and method are disclosed for providing an artificial intelligence platform. An example method includes examining part of a global neural network to locate a split layer in the global neural network, creating an equivalent model to the part of the global neural network of a same size but having opposite operations, generating smashed data based on an operation on input data by the part of the global neural network, training the equivalent model by inputting the smashed data to generate a second a mirrored copy of the input data, quantifying a distance between the input data and the second generated set of mirrored data to yield a value and, when the value is below a threshold, determining that a current location of the split layer in the global neural network is safe for a training process.
Public/Granted literature
- US20230306254A1 SYSTEMS AND METHODS FOR QUANTIFYING DATA LEAKAGE FROM A SPLIT LAYER Public/Granted day:2023-09-28
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