ONE-CLASS THREAT DETECTION USING FEDERATED LEARNING

    公开(公告)号:US20250097242A1

    公开(公告)日:2025-03-20

    申请号:US18468213

    申请日:2023-09-15

    Abstract: A machine learning model is trained to classify data as malicious or benign, including receiving the machine learning model in a user device and training the machine learning model on the user device user-generated data that has been classified as known benign. A result of the training is sent to a remote server. Training samples on the user device may be classified automatically, such as classifying sent emails, instant messages, or other content generated by the user as benign.

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