Powerful Physical Adversarial Examples Against Practical Face Recognition Systems

Author:

Singh Inderjeet1,Araki Toshinori1,Kakizaki Kazuya1

Affiliation:

1. NEC Corporation Kawasaki,Kanagawa,Japan

Publisher

IEEE

Reference30 articles.

1. Joint Face Detection and Alignment Using Multitask Cascaded Convolutional Networks

2. Squeeze-and-excitation networks;jie;Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition,2018

3. Toward Practical Adversarial Attacks on Face Verification Systems

4. Adversarial examples in the physical world;kurakin;arXiv preprint arXiv 1607 02533,2016

5. Adversarial machine learning at scale;kurakin;arXiv preprint arXiv 1611 01236,2016

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1. A review of black-box adversarial attacks on image classification;Neurocomputing;2024-12

2. Foolmix: Strengthen the Transferability of Adversarial Examples by Dual-Blending and Direction Update Strategy;IEEE Transactions on Information Forensics and Security;2024

3. UCG: A Universal Cross-Domain Generator for Transferable Adversarial Examples;IEEE Transactions on Information Forensics and Security;2024

4. Benchmarking Image Classifiers for Physical Out-of-Distribution Examples Detection;2023 IEEE/CVF International Conference on Computer Vision Workshops (ICCVW);2023-10-02

5. DepthFake: Spoofing 3D Face Authentication with a 2D Photo;2023 IEEE Symposium on Security and Privacy (SP);2023-05

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