Comprehensive Vulnerability Evaluation of Face Recognition Systems to Template Inversion Attacks via 3D Face Reconstruction

Author:

Shahreza Hatef Otroshi1ORCID,Marcel Sébastien1ORCID

Affiliation:

1. Biometrics Security and Privacy Group, Idiap Research Institute, Martigny, Switzerland

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Applied Mathematics,Artificial Intelligence,Computational Theory and Mathematics,Computer Vision and Pattern Recognition,Software

Reference54 articles.

1. pi-GAN: Periodic Implicit Generative Adversarial Networks for 3D-Aware Image Synthesis

2. Pix2NeRF: Unsupervised Conditional $\pi$-GAN for Single Image to Neural Radiance Fields Translation

3. StyleSDF: High-resolution 3D-consistent image and geometry generation;or-el;Proc IEEE Conf Comput Vis and Pattern Recog,2022

4. GIRAFFE: Representing Scenes as Compositional Generative Neural Feature Fields

5. Information Technology – Biometric Presentation Attack Detection – Part 3: Testing and Reporting, ISO/IEC 30107–3:2017(E), International Organization for Standardization International Standard,2017

Cited by 4 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Self-supervised learning for fine-grained monocular 3D face reconstruction in the wild;Multimedia Systems;2024-08

2. Face Reconstruction from Partially Leaked Facial Embeddings;ICASSP 2024 - 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP);2024-04-14

3. Vulnerability of State-of-the-Art Face Recognition Models to Template Inversion Attack;IEEE Transactions on Information Forensics and Security;2024

4. Remote Cancelable Biometric System for Verification and Identification Applications;2023 International Conference of the Biometrics Special Interest Group (BIOSIG);2023-09-20

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