System and method for remediating poisoned training data used to train artificial intelligence models
US12235999B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Dec 29, 2022 |
| Grant date | Feb 25, 2025 |
| Priority date | — |
| Expiry date | Nov 15, 2043 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06F21/57
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Methods and systems for managing artificial intelligence (AI) models are disclosed. To manage AI models, poisoned training data introduced into an instance of the AI models may be identified and the impact of the poisoned training data on the AI models may be efficiently mitigated. To do so, a first poisoned AI model instance may be obtained. Rather than re-training an un-poisoned AI model instance to remove the impact of poisoned training data, the first poisoned AI model instance may be selectively un-trained whenever poisoned training data is found in the training dataset. Subsequently, weights of the first poisoned AI model instance may be adjusted to account for future training data. As poisoned training data may occur infrequently, selectively un-training the AI model may conserve computing resources and minimize AI model downtime when compared to a full or partial re-training process of an un-poisoned AI model instance.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.