Model-Free Template Reconstruction Attack with Feature Converter
Author:
Affiliation:
1. Shizuoka University,Shizuoka,Japan
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9896866/9896958/09896963.pdf?arnumber=9896963
Reference20 articles.
1. The Secret Revealer: Generative Model-Inversion Attacks Against Deep Neural Networks
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3. Deep Learning Face Attributes in the Wild
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5. Learning to align from scratch;huang;Advances in Neural Information Processing Systems (NIPS),2012
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1. Template Inversion Attack Using Synthetic Face Images Against Real Face Recognition Systems;IEEE Transactions on Biometrics, Behavior, and Identity Science;2024-07
2. Deep Face Decoder: Towards understanding the embedding space of convolutional networks through visual reconstruction of deep face templates;Engineering Applications of Artificial Intelligence;2024-06
3. Comprehensive Vulnerability Evaluation of Face Recognition Systems to Template Inversion Attacks via 3D Face Reconstruction;IEEE Transactions on Pattern Analysis and Machine Intelligence;2023-12
4. Template Inversion Attack against Face Recognition Systems using 3D Face Reconstruction;2023 IEEE/CVF International Conference on Computer Vision (ICCV);2023-10-01
5. Inversion of Deep Facial Templates using Synthetic Data;2023 IEEE International Joint Conference on Biometrics (IJCB);2023-09-25
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