{"schema_version":"1.0","canonical_url":"https://patentable.app/patents/US-11500998","patent":{"patent_number":"US-11500998","title":"Measuring the vulnerability of AI modules to spoofing attempts","assignee":null,"inventors":[],"filing_date":"2019-11-22T00:00:00.000Z","publication_date":"2022-11-15T00:00:00.000Z","cpc_codes":["G06F","G06F","G06N","G06N","G06N","G06V","G06V","G06V","G06V"],"num_claims":16,"abstract":"A method is described for measuring the vulnerability of an AI module to spoofing attempts, including the classification and/or regression onto which the AI module maps the update data set is ascertained as an unperturbed result for a predefined data set in the input space E; at least one perturbation S having a dimensionality d<D is applied to the predefined data set so that at least one perturbed data set results in the input space E; the classification and/or regression onto which the AI module maps the perturbed data set is ascertained as the perturbed result; the deviation of the perturbed result from the unperturbed result is ascertained using predefined metrics; in response to the deviation satisfying a predefined criterion, it is determined that the AI module with regard to the predefined data set is vulnerable to spoofing attempts having a dimensionality d."},"analysis":{"summary":null,"layman_explanation":null,"technical_analysis":null,"business_analysis":null,"faqs":null,"topics":[],"tech_cluster":null},"seo":{"title":"Measuring the vulnerability of AI modules to spoofing attempts","description":"A method is described for measuring the vulnerability of an AI module to spoofing attempts, including the classification and/or regression onto which the AI module maps the update data set is ascertai","keywords":[]},"attribution":{"source":"Patentable","source_url":"https://patentable.app","canonical_url":"https://patentable.app/patents/US-11500998","license":"CC-BY-4.0-like","license_terms":"AI-generated analysis on this page (summary, layman_explanation, technical_analysis, business_analysis, faqs) may be reused with attribution and a visible link back to the canonical URL above. Patent abstracts, claims, and bibliographic data are USPTO public domain.","required_link":"https://patentable.app/patents/US-11500998","citation_suggestion":"Patentable. \"Measuring the vulnerability of AI modules to spoofing attempts\" (US-11500998). https://patentable.app/patents/US-11500998","copyright_holder":"Nomic Interactive Technology LLC"},"links":{"html":"https://patentable.app/patents/US-11500998","json":"https://patentable.app/api/llm-context/US-11500998","site":"https://patentable.app","llms_txt":"https://patentable.app/llms.txt"},"generated_at":"2026-05-30T21:25:16.549Z"}