{"schema_version":"1.0","canonical_url":"https://patentable.app/patents/US-11977632","patent":{"patent_number":"US-11977632","title":"Evaluating automatic malware classifiers in the absence of reference labels","assignee":null,"inventors":[],"filing_date":"2021-04-23T00:00:00.000Z","publication_date":"2024-05-07T00:00:00.000Z","cpc_codes":["G06F","G06F","G06F","G06F","G06F"],"num_claims":17,"abstract":"Disclosed are methods and apparatuses for classifier evaluation. The evaluation involves constructing a ground truth refinement having a degree of error within specified bounds from a malware reference dataset as an approximate ground truth refinement. The evaluation further involves using the approximate ground truth refinement to determine at least one of: a lower bound on precision or an upper bound on recall and accuracy. The evaluation further involves evaluating a classifier by evaluating at least one of a classification method or clustering method by examining changes to the upper bound and/or the lower bound produced by the approximate ground truth refinement."},"analysis":{"summary":null,"layman_explanation":null,"technical_analysis":null,"business_analysis":null,"faqs":null,"topics":[],"tech_cluster":null},"seo":{"title":"Evaluating automatic malware classifiers in the absence of reference labels","description":"Disclosed are methods and apparatuses for classifier evaluation. The evaluation involves constructing a ground truth refinement having a degree of error within specified bounds from a malware referenc","keywords":[]},"attribution":{"source":"Patentable","source_url":"https://patentable.app","canonical_url":"https://patentable.app/patents/US-11977632","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-11977632","citation_suggestion":"Patentable. \"Evaluating automatic malware classifiers in the absence of reference labels\" (US-11977632). https://patentable.app/patents/US-11977632","copyright_holder":"Nomic Interactive Technology LLC"},"links":{"html":"https://patentable.app/patents/US-11977632","json":"https://patentable.app/api/llm-context/US-11977632","site":"https://patentable.app","llms_txt":"https://patentable.app/llms.txt"},"generated_at":"2026-05-31T03:57:35.288Z"}