mlsanityData to 14 Oct 2026

CFA-Net: Controllable Face Anonymization Network with Identity Representation Manipulation

arXiv 2105.11137 ↗First posted 24 May 2021cs.CVcited by 12

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Abstract (arXiv)

De-identification of face data has drawn increasing attention in recent years. It is important to protect people's identities meanwhile keeping the utility of the data in many computer vision tasks. We propose a Controllable Face Anonymization Network (CFA-Net), a novel approach that can anonymize the identity of given faces in images and videos, based on a generator that can disentangle face identity from other image contents. We reach the goal of controllable face anonymization through manipulating identity vectors in the generator's identity representation space. Various anonymized faces deriving from an original face can be generated through our method and maintain high similarity to the original image contents. Quantitative and qualitative results demonstrate our method's superiority over literature models on visual quality and anonymization validity.

Key facts. Cited by 12 papers in the map (data through 14 Oct 2026). Builds on 22 of its 32 references that are in the map. First posted on arXiv 24 May 2021.

Builds on

22 of 32 references.

References · 22

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10 more
  1. 2019FSGAN: Subject Agnostic Face Swapping and Reenactmentcited by 320
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Built on by

Cited by year (2026 to 14 Oct)

Citing papers per year: 2023: 4; 2024: 3; 2025: 3; 2026: 2.

12 papers.

  1. 2023Attribute-preserving Face Dataset Anonymization via Latent Code Optimizationcited by 43
  2. 2023EgoBlur: Responsible Innovation in Ariacited by 12
  3. 2023FIVA: Facial Image and Video Anonymization and Anonymization Defensecited by 12
  4. 2024Face De-identification: State-of-the-art Methods and Comparative Studiescited by 9
  5. 2024Facial Identity Anonymization via Intrinsic and Extrinsic Attention Distractioncited by 4
  6. 2024Exploring AI-based Anonymization of Industrial Image and Video Data in the Context of Feature Preservationcited by 2
  7. 2025SVIA: A Street View Image Anonymization Framework for Self-Driving Applicationscited by 1
  8. 2023VerA: Versatile Anonymization Applicable to Clinical Facial Photographscited by 0
  9. 2025Assessing the Use of Face Swapping Methods as Face Anonymizers in Videoscited by 0
  10. 2025Facial Attribute Based Text Guided Face Anonymizationcited by 0
  11. 2026HYDRO: Towards Non-Reversible Face De-Identification Using a High-Fidelity Hybrid Diffusion and Target-Oriented Approachcited by 0
  12. 2026Adversarial Attacks and Identity Leakage in De-Identification Systems: An Empirical Studycited by 0