Invention Grant
- Patent Title: Training diverse and robust ensembles of artificial intelligence computer models
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Application No.: US16816625Application Date: 2020-03-12
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Publication No.: US11783025B2Publication Date: 2023-10-10
- Inventor: Ian Michael Molloy , Taesung Lee , Benjamin James Edwards
- Applicant: International Business Machines Corporation
- Applicant Address: US NY Armonk
- Assignee: International Business Machines Corporation
- Current Assignee: International Business Machines Corporation
- Current Assignee Address: US NY Armonk
- Agent Stephen J. Walder, Jr.; Anthony M. Pallone
- Main IPC: G06F21/52
- IPC: G06F21/52 ; G06N20/20 ; G06F21/60 ; G06F18/22 ; G06F18/25 ; G06V10/74 ; G06V10/776 ; G06V10/80 ; G06V10/82 ; G06V10/98

Abstract:
Mechanisms are provided to implement a hardened ensemble artificial intelligence (AI) model generator. The hardened ensemble AI model generator co-trains at least two AI models. The hardened ensemble AI model generator modifies, based on a comparison of the at least two AI models, a loss surface of one or more of the at least two AI models to prevent an adversarial attack on one AI model, in the at least two AI models, transferring to another AI model in the at least two AI models, to thereby generate one or more modified AI models. At least one of the one or more modified AI models then processes an input to generate an output result.
Public/Granted literature
- US20210287141A1 Training Diverse and Robust Ensembles of Artificial Intelligence Computer Models Public/Granted day:2021-09-16
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