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公开(公告)号:US20250053865A1
公开(公告)日:2025-02-13
申请号:US18561104
申请日:2022-12-14
Applicant: Google LLC
Inventor: Wei Qiao , Chun-Ta Lu , Yinatao Liu , Ariel Fuxman , Mehmet Nejat Tek , Dongjin Kwon , Florian Nils Stimberg
Abstract: The technology is generally directed to the training and execution of a model to identify policy violating content that has been obfuscated. The model may be trained using obfuscated training images. The obfuscated training images may be associated with one or more labels, such as a policy, obfuscation label, etc. The obfuscated training images and associated labels may be input into the model. During training, the output of the model may be a policy prediction as to whether the obfuscated input images violate the content policy of a host or are approved content for publishing. During implementation, the model may receive content as input and provide as output a policy prediction for the content. The host may use the policy prediction provided by the model to determine whether or not to publish the content.