{"schema_version":"1.0","canonical_url":"https://patentable.app/patents/US-11297083","patent":{"patent_number":"US-11297083","title":"Identifying and protecting against an attack against an anomaly detector machine learning classifier","assignee":null,"inventors":[],"filing_date":"2019-08-15T00:00:00.000Z","publication_date":"2022-04-05T00:00:00.000Z","cpc_codes":["H04L","G06F","G06F","G06N","H04L","H04L","H04L","H04L"],"num_claims":20,"abstract":"Identifying and protecting against an attack against an anomaly detector machine learning classifier (ADMLC). In some embodiments, a method may include identifying training data points in a manifold space for an ADMLC, dividing the manifold space into multiple subspaces, merging each of the training data points into one of the multiple subspaces, training a subclassifier for each of the multiple subspaces to determine a decision boundary for each of the multiple subspaces between normal training data points and anomalous training data points, receiving an input data point into the ADMLC, determining whether the input data point is an attack on the ADMLC due to a threshold number of the subclassifiers classifying the input data point as an anomalous input data point, and, in response to identifying the attack against the ADMLC, protecting against the attack."},"analysis":{"summary":null,"layman_explanation":null,"technical_analysis":null,"business_analysis":null,"faqs":null,"topics":[],"tech_cluster":null},"seo":{"title":"Identifying and protecting against an attack against an anomaly detector machine learning classifier","description":"Identifying and protecting against an attack against an anomaly detector machine learning classifier (ADMLC). In some embodiments, a method may include identifying training data points in a manifold s","keywords":[]},"attribution":{"source":"Patentable","source_url":"https://patentable.app","canonical_url":"https://patentable.app/patents/US-11297083","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-11297083","citation_suggestion":"Patentable. \"Identifying and protecting against an attack against an anomaly detector machine learning classifier\" (US-11297083). https://patentable.app/patents/US-11297083","copyright_holder":"Nomic Interactive Technology LLC"},"links":{"html":"https://patentable.app/patents/US-11297083","json":"https://patentable.app/api/llm-context/US-11297083","site":"https://patentable.app","llms_txt":"https://patentable.app/llms.txt"},"generated_at":"2026-05-30T09:40:31.334Z"}