公开(公告)号：US20240303503A1

公开(公告)日：2024-09-12

申请号：US18485499

申请日：2023-10-12

Applicant: Booz Allen Hamilton Inc.

Inventor： Derek Scott Everett ,  Andre Tai Nguyen ,  Edward Simon Pastor Raff

IPC: G06N3/094 ,  G06N3/045 ,  G06N3/0464

CPC classification number: G06N3/094 ,  G06N3/045 ,  G06N3/0464

Abstract: Provided are systems, methods, and computer program products including at least one processor programmed or configured to perturb at least one training dataset based on mutual information extracted from an ensemble machine learning model to provide at least one adversarial training dataset, execute at least two machine learning models of an ensemble machine learning model, train at least two machine learning models with the at least one training dataset by feeding an input or output of one of the at least two machine learning models to the other of the at least two machine learning models, train the ensemble machine learning model with the at least one adversarial training dataset, receive a runtime input from a client device, and provide the runtime input to the trained ensemble machine learning model to generate a signal output indicating that the runtime input includes an out-of-distribution sample.