Convex Hull Escape Perturbation at Embedding Space and Spherical Bins Coloring for 3D Face De-identification

10/21/2021
by   Lanston Hau Man Chu, et al.
0

This paper proposes a Convex Hull Escape Perturbation (CHEP) method at Embedding Space to achieve 3D Face De-identification. For better reconstruction of the 3D faces, this paper also proposes the Spherical Bins Coloring (SBC) method to reinstate color lost in the SfS process due to change in vertices number. The top κ-accuracies of faces perturbed by CHEP drop significantly when compared to non-perturbed faces.

READ FULL TEXT

page 14

page 17

page 18

page 19

research
10/22/2020

A Differentially Private Text Perturbation Method Using a Regularized Mahalanobis Metric

Balancing the privacy-utility tradeoff is a crucial requirement of many ...
research
08/31/2020

On Polyhedral Realization with Isosceles Triangles

Answering a question posed by Joseph Malkevitch, we prove that there exi...
research
11/25/2022

Generating 2D and 3D Master Faces for Dictionary Attacks with a Network-Assisted Latent Space Evolution

A master face is a face image that passes face-based identity authentica...
research
09/24/2018

Fast Geometrically-Perturbed Adversarial Faces

The state-of-the-art performance of deep learning algorithms has led to ...
research
08/01/2021

Generating Master Faces for Dictionary Attacks with a Network-Assisted Latent Space Evolution

A master face is a face image that passes face-based identity-authentica...
research
08/21/2020

Coloring Drawings of Graphs

We consider face-colorings of drawings of graphs in the plane. Given a m...
research
03/30/2023

A View From Somewhere: Human-Centric Face Representations

Few datasets contain self-identified sensitive attributes, inferring att...

Please sign up or login with your details

Forgot password? Click here to reset