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Reconstruct Face from Features Using GAN Generator as a Distribution Constraint. (arXiv:2206.04295v1 [cs.CV])
June 10, 2022, 1:12 a.m. | Xingbo Dong, Zhihui Miao, Lan Ma, Jiajun Shen, Zhe Jin, Zhenhua Guo, Andrew Beng Jin Teoh
cs.CV updates on arXiv.org arxiv.org
Face recognition based on the deep convolutional neural networks (CNN) shows
superior accuracy performance attributed to the high discriminative features
extracted. Yet, the security and privacy of the extracted features from deep
learning models (deep features) have been often overlooked. This paper proposes
the reconstruction of face images from deep features without accessing the CNN
network configurations as a constrained optimization problem. Such optimization
minimizes the distance between the features extracted from the original face
image and the reconstructed face …
More from arxiv.org / cs.CV updates on arXiv.org
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