Privacy-preserving labeling and classification of email
US12333394B2 · kind B2 · utility
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19Claims
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Key dates
| Filing date | Oct 31, 2022 |
| Grant date | Jun 17, 2025 |
| Priority date | — |
| Expiry date | Oct 31, 2042 |
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 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.