Privacy

Responsible and ethical AI: Pedestrian privacy protection

Introduction

Many videos are captured to train AI models. We aim to protect pedestrian privacy in videos captured by cameras mounted on robots and vehicles while maintaining the utility of the anonymized videos.

Traditional anonymization methods

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Pedestrian anonymization via face swapping

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Pedestrian anonymization via full-body anonymization

Equipment

Related publications

  1. X. Zhang*, Z. Zhao. More effort is needed to protect pedestrian privacy in the era of AI. NeurIPS, 2025. Oral paper. [PDF]
  2. Z. Zhao, X. Zhang*, Y. Demiris. 3PFS: Protecting pedestrian privacy through face swapping, IEEE Transactions on Intelligent Transportation Systems, vol. 25, no. 11, pp. 16845-16854, 2024.