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.
Privacy-preserving visual localization with event cameras
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Bit-ViP applies bit-plane processing with Lorenz chaotic noise and differential privacy to produce obfuscated images that resist reconstruction attacks yet support activity recognition on UCF101 and HMDB51.
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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.