mlsanityData to 7 Oct 2026

Forbes: Face Obfuscation Rendering via Backpropagation Refinement Scheme

arXiv 2407.14170 ↗First posted 19 Jul 2024cs.CVcited by 0

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Abstract (arXiv)

A novel algorithm for face obfuscation, called Forbes, which aims to obfuscate facial appearance recognizable by humans but preserve the identity and attributes decipherable by machines, is proposed in this paper. Forbes first applies multiple obfuscating transformations with random parameters to an image to remove the identity information distinguishable by humans. Then, it optimizes the parameters to make the transformed image decipherable by machines based on the backpropagation refinement scheme. Finally, it renders an obfuscated image by applying the transformations with the optimized parameters. Experimental results on various datasets demonstrate that Forbes achieves both human indecipherability and machine decipherability excellently. The source codes are available at https://github.com/mcljtkim/Forbes.

Key facts. No citing papers in the map yet (data through 7 Oct 2026). Builds on 24 of its 45 references that are in the map. First posted on arXiv 19 Jul 2024.

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References · 24

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12 more
  1. 2020CIAGAN: Conditional Identity Anonymization Generative Adversarial Networkscited by 88
  2. 2022A Simple Baseline for Video Restoration with Grouped Spatial-temporal Shiftcited by 68
  3. 2018Learning to Anonymize Faces for Privacy Preserving Action Detectioncited by 63
  4. 2017Natural and Effective Obfuscation by Head Inpaintingcited by 60
  5. 2022Moving Window Regression: A Novel Approach to Ordinal Regressioncited by 44
  6. 2023Attribute-preserving Face Dataset Anonymization via Latent Code Optimizationcited by 43
  7. 2019Deblurring Face Images using Uncertainty Guided Multi-Stream Semantic Networkscited by 24
  8. 2023FLAC: Fairness-Aware Representation Learning by Suppressing Attribute-Class Associationscited by 18
  9. 2022Depth Map Decomposition for Monocular Depth Estimationcited by 16
  10. 2022My Face My Choice: Privacy Enhancing Deepfakes for Social Media Anonymizationcited by 14
  11. 2018VGAN-Based Image Representation Learning for Privacy-Preserving Facial Expression Recognitioncited by 13
  12. 2023FIVA: Facial Image and Video Anonymization and Anonymization Defensecited by 12

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