Privacy-preserving labeling and classification of email
US11521108B2 · kind B2 · utility
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Key dates
| Filing date | Jul 30, 2018 |
| Grant date | Dec 6, 2022 |
| Priority date | — |
| Expiry date | Jul 9, 2040 |
Classification
- Technology area (CPC H)Electricity
- CPC primaryH04L51/42
- WIPO fieldDigital communication
- WIPO sectorElectrical engineering
Abstract
Emails or other communications are labeled with a category label such as “spam” or “good” without using confidential or Personally Identifiable Information (PII). The category label is based on features of the emails such as metadata that do not contain PII. Graphs of inferred relationships between email features and category labels are used to assign labels to emails and to features of the emails. The labeled emails are used as a training dataset for training a machine learning model (“MLM”). The MLM model identifies unwanted emails such as spam, bulk email, phishing email, and emails that contain malware.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.