Invention Grant
- Patent Title: Improper neural network input detection and handling
-
Application No.: US16216485Application Date: 2018-12-11
-
Publication No.: US11687761B2Publication Date: 2023-06-27
- Inventor: Randy Renfu Huang , Richard John Heaton , Andrea Olgiati , Ron Diamant
- Applicant: Amazon Technologies, Inc.
- Applicant Address: US WA Seattle
- Assignee: Amazon Technologies, Inc.
- Current Assignee: Amazon Technologies, Inc.
- Current Assignee Address: US WA Seattle
- Agency: Kilpatrick Townsend & Stockton LLP
- Main IPC: G06N3/045
- IPC: G06N3/045 ; G06N3/04 ; G06N3/08 ; G06F18/214

Abstract:
Systems and methods for performing improper input data detection are described. In one example, a system comprises: hardware circuits configured to receive input data and to perform computations of a neural network based on the input data to generate computation outputs; and an improper input detection circuit configured to: determine a relationship between the computation outputs of the hardware circuits and reference outputs; determine that the input data are improper based on the relationship; and perform an action based on determining that the input data are improper.
Public/Granted literature
- US20200184245A1 IMPROPER NEURAL NETWORK INPUT DETECTION AND HANDLING Public/Granted day:2020-06-11
Information query