Face Anonymization

6 papers with code • 2 benchmarks • 3 datasets

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Latest papers with no code

FIVA: Facial Image and Video Anonymization and Anonymization Defense

no code yet • 8 Sep 2023

In this paper, we present a new approach for facial anonymization in images and videos, abbreviated as FIVA.

LDFA: Latent Diffusion Face Anonymization for Self-driving Applications

no code yet • 17 Feb 2023

Therefore, datasets used to train perception models of ITS must contain a significant number of vulnerable road users.

Fantômas: Understanding Face Anonymization Reversibility

no code yet • 19 Oct 2022

To mitigate this privacy risk, anonymizations employ transformations on clear images to obfuscate sensitive information, all while retaining some utility.

On Generating Identifiable Virtual Faces

no code yet • 15 Oct 2021

Our virtual face images are visually different from the original ones for privacy protection.

Temporally coherent video anonymization through GAN inpainting

no code yet • 4 Jun 2021

This work tackles the problem of temporally coherent face anonymization in natural video streams. We propose JaGAN, a two-stage system starting with detecting and masking out faces with black image patches in all individual frames of the video.

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

no code yet • 24 May 2021

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.

IdentityDP: Differential Private Identification Protection for Face Images

no code yet • 2 Mar 2021

We propose IdentityDP, a face anonymization framework that combines a data-driven deep neural network with a differential privacy (DP) mechanism.

Privacy-Protection Drone Patrol System based on Face Anonymization

no code yet • 29 May 2020

These attractive advantages such as high-resolution cameras and mobility can be a double-edged sword, i. e., privacy infringement.