Detecting and Mitigating Adversarial Perturbations for Robust Face Recognition
作者： Gaurav Goswami , Akshay Agarwal , Nalini Ratha , Richa Singh , Mayank Vatsa
DOI: 10.1007/S11263-019-01160-W
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摘要: Deep neural network (DNN) architecture based models have high expressive power and learning capacity. However, they are essentially a black box method since it is not easy to mathematically formulate the functions that are learned within its many layers of representation. Realizing this, many researchers have started to design methods to exploit the drawbacks of deep learning based algorithms questioning their robustness and exposing their singularities. In this paper, we attempt to unravel three aspects related to the …
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