Managing artificial intelligence models to identify goals of malicious attackers
AssigneeDell Products L.P.
InventorsOFIR EZRIELEV, TOMER KUSHNIR, AMIHAI SAVIR
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AssigneeDell Products L.P.
InventorsOFIR EZRIELEV, TOMER KUSHNIR, AMIHAI SAVIR
Estimating the term…
Methods and systems for managing an artificial intelligence (AI) model are disclosed. An AI model may be part of an evolving AI model pipeline, the processes of which may include obtaining training data from data sources used to update the AI model. An attacker may introduce poisoned training data via one or more of the data sources as a form of attack on the AI model. When the poisoned training data is identified, the poisoned training data may be compared to existing training data to determine the attacker's goal. Based on the attacker's goal, remedial actions may be performed that may update operation of pipeline. The updated operation of the pipeline may reduce the computational expense for remediating impact of the poisoned training data, and may reduce the likelihood of obtaining poisoned training data in the future.
A method for managing an artificial intelligence (AI) model, comprising:
A non-transitory machine-readable medium having instructions stored therein, which when executed by a processor, cause the processor to perform operations for managing an artificial intelligence (AI) model, the operations comprising:
A data processing system, comprising:
Dependencies are inferred from the claim text.