A plug-and-play Anonymizing Adapter Module removes private information from video latent features using self-supervised privacy objectives and consistency losses while retaining utility on action recognition, temporal detection, and anomaly tasks.
For training, only random resized crop and random horizontal flip with probability 50% are utilized
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Privacy Beyond Pixels: Latent Anonymization for Privacy-Preserving Video Understanding
A plug-and-play Anonymizing Adapter Module removes private information from video latent features using self-supervised privacy objectives and consistency losses while retaining utility on action recognition, temporal detection, and anomaly tasks.