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We study the robustness of classifiers to various kinds of random noise models.
Theory of Probability
Bernstein, S. (1927) · 1927
Earlier work this paper cites.
A remark on stirling’s formula
Robbins, H. (1955) · 1955
Earlier work this paper cites.
The Asymptotic Theory of Extreme Order Statistics
Galambos, J. (1987) · 1987
Earlier work this paper cites.
The effect of lossy image compression on image classification
Paola, J. D. and Schowengerdt, R. A. (1995) · 1995
Earlier work this paper cites.
The MNIST database of handwritten digits
LeCun, Y., Cortes, C., and Burges, C. J. (1998) · 1998
Earlier work this paper cites.
A robust minimax approach to classification
Lanckriet, G., Ghaoui, L., Bhattacharyya, C., and Jordan, M. (2003) · 2003
Earlier work this paper cites.
Image quality assessment: from error visibility to structural similarity
Wang, Z., Bovik, A. C., Sheikh, H. R., and Simoncelli, E. P. (2004) · 2004
Earlier work this paper cites.
A probabilistic approach to the geometry of the
Barthe, F., Guédon, O., Mendelson, S., and Naor, A. (2005) · 2005
Earlier work this paper cites.
Handbook of image and video processing
Bovik, A. C. (2005) · 2005
Earlier work this paper cites.
Robustness and regularization of support vector machines
Xu, H., Caramanis, C., and Mannor, S. (2009) · 2009
Earlier work this paper cites.
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Caramanis, C., Mannor, S., and Xu, H. (2012) · 2012
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Deepfool: a simple and accurate method to fool deep neural networks
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