{"schema_version":"1.0","canonical_url":"https://patentable.app/patents/US-11475128","patent":{"patent_number":"US-11475128","title":"System and method for heterogeneous transferred learning for enhanced cybersecurity threat detection","assignee":null,"inventors":[],"filing_date":"2019-08-16T00:00:00.000Z","publication_date":"2022-10-18T00:00:00.000Z","cpc_codes":["G06F","G06N","G06N","G06N","G06F"],"num_claims":23,"abstract":"A method includes training a first machine learning model with a first dataset, to produce a first trained machine learning model to infer cybersecurity-oriented file properties and/or detect cybersecurity threats within a first domain. The first dataset includes labeled files associated with the first domain. The first trained machine learning model includes multiple layers, some of which are trainable. A second trained machine learning model is generated, via a transfer learning process, using (1) at least one trainable layer from the multiple trainable layers of the first trained machine learning model, and (2) a second dataset different from the first dataset. The second dataset includes labeled files associated with a second domain. The first domain has a different syntax, different semantics, and/or a different structure than that of the second domain. The second trained machine learning model (e.g., a deep neural network model) is then available for use in inferring cybersecurity-oriented properties of the file in the second domain and/or detecting cybersecurity threats in the second domain."},"analysis":{"summary":null,"layman_explanation":null,"technical_analysis":null,"business_analysis":null,"faqs":null,"topics":[],"tech_cluster":null},"seo":{"title":"System and method for heterogeneous transferred learning for enhanced cybersecurity threat detection","description":"A method includes training a first machine learning model with a first dataset, to produce a first trained machine learning model to infer cybersecurity-oriented file properties and/or detect cybersec","keywords":[]},"attribution":{"source":"Patentable","source_url":"https://patentable.app","canonical_url":"https://patentable.app/patents/US-11475128","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-11475128","citation_suggestion":"Patentable. \"System and method for heterogeneous transferred learning for enhanced cybersecurity threat detection\" (US-11475128). https://patentable.app/patents/US-11475128","copyright_holder":"Nomic Interactive Technology LLC"},"links":{"html":"https://patentable.app/patents/US-11475128","json":"https://patentable.app/api/llm-context/US-11475128","site":"https://patentable.app","llms_txt":"https://patentable.app/llms.txt"},"generated_at":"2026-05-31T00:16:25.617Z"}