LOTS about attacking deep features

@article{Rozsa2017LOTSAA,
  title={LOTS about attacking deep features},
  author={Andras Rozsa and Manuel G{\"u}nther and Terrance E. Boult},
  journal={2017 IEEE International Joint Conference on Biometrics (IJCB)},
  year={2017},
  pages={168-176}
}
Deep neural networks provide state-of-the-art performance on various tasks and are, therefore, widely used in real world applications. DNNs are becoming frequently utilized in biometrics for extracting deep features, which can be used in recognition systems for enrolling and recognizing new individuals. It was revealed that deep neural networks suffer from a fundamental problem, namely, they can unexpectedly misclassify examples formed by slightly perturbing correctly recognized inputs. Various… CONTINUE READING
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