{"schema_version":"1.0","canonical_url":"https://patentable.app/patents/US-10503901","patent":{"patent_number":"US-10503901","title":"Training a machine learning model for container file analysis","assignee":null,"inventors":[],"filing_date":"2016-11-07T00:00:00.000Z","publication_date":"2019-12-10T00:00:00.000Z","cpc_codes":["G06F","G06F","G06F","G06N","G06N","G06N","G06F","G06N"],"num_claims":20,"abstract":"In one respect, there is provided a system for training a machine learning model to detect malicious container files. The system may include at least one processor and at least one memory. The at least one memory may include program code that provides operations when executed by the at least one processor. The operations may include: training, based on a training data, a machine learning model to enable the machine learning model to determine whether at least one container file includes at least one file rendering the at least one container file malicious; and providing the trained machine learning model to enable the determination of whether the at least one container file includes at least one file rendering the at least one container file malicious. Related methods and articles of manufacture, including computer program products, are also disclosed."},"analysis":{"summary":null,"layman_explanation":null,"technical_analysis":null,"business_analysis":null,"faqs":null,"topics":[],"tech_cluster":null},"seo":{"title":"Training a machine learning model for container file analysis","description":"In one respect, there is provided a system for training a machine learning model to detect malicious container files. The system may include at least one processor and at least one memory. The at leas","keywords":[]},"attribution":{"source":"Patentable","source_url":"https://patentable.app","canonical_url":"https://patentable.app/patents/US-10503901","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-10503901","citation_suggestion":"Patentable. \"Training a machine learning model for container file analysis\" (US-10503901). https://patentable.app/patents/US-10503901","copyright_holder":"Nomic Interactive Technology LLC"},"links":{"html":"https://patentable.app/patents/US-10503901","json":"https://patentable.app/api/llm-context/US-10503901","site":"https://patentable.app","llms_txt":"https://patentable.app/llms.txt"},"generated_at":"2026-05-30T11:57:05.251Z"}