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Open set recognition problems exist in many domains.
Automatic analysis of malware behavior using machine learning
K. Rieck, P. Trinius, C. Willems, and T. Holz · 2011
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Kernel null space methods for novelty detection
P. Bodesheim, A. Freytag, E. Rodner, M. Kemmler, and J. Denzler · 2013
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W. J. Scheirer, A. de Rezende Rocha, A. Sapkota, and T. E. Boult · 2013
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Learning with augmented class by exploiting unlabeled data
Q. Da, Y. Yu, and Z.-H. Zhou · 2014
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Generative adversarial nets
I. Goodfellow, J. Pouget-Abadie, M. Mirza, B. Xu, D. Warde-Farley, S. Ozair, A. Courville, and Y. Bengio · 2014
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Multi-Class Open Set Recognition Using Probability of Inclusion
L. P. Jain, W. J. Scheirer, and T. E. Boult · 2014
Earlier work this paper cites.
Face recognition for web-scale datasets
E. G. Ortiz and B. C. Becker · 2014
Earlier work this paper cites.
https://www.kaggle.com/c/malware-classification, 2015
Microsoft malware classification challenge (big 2015) · 2015
Cited alongside, same era.
Towards open world recognition
A. Bendale and T. Boult · 2015
Cited alongside, same era.
Local novelty detection in multi-class recognition problems
P. Bodesheim, A. Freytag, E. Rodner, and J. Denzler · 2015
Cited alongside, same era.
A bounded neural network for open set recognition
D. O. Cardoso, F. França, and J. Gama · 2015
Cited alongside, same era.
Batch normalization: Accelerating deep network training by reducing internal covariate shift
S. Ioffe and C. Szegedy · 2015
Cited alongside, same era.
A. Makhzani, J. Shlens, N. Jaitly, I. Goodfellow, and B. Frey · 2015
Unsupervised representation learning with deep convolutional generative adversarial networks
A. Radford, L. Metz, and S. Chintala · 2015
Later among the works it cites.
Towards open set deep networks
A. Bendale and T. E. Boult · 2016
Later among the works it cites.
Steps toward robust artificial intelligence
T. G. Dietterich · 2017
Later among the works it cites.
Generative openmax for multi-class open set classification
Z. Ge, S. Demyanov, Z. Chen, and R. Garnavi · 2017
Later among the works it cites.
Scalable function call graph-based malware classification
M. Hassen and P. K. Chan · 2017
Later among the works it cites.
A survey of stealth malware: Attacks, mitigation measures, and steps toward autonomous open world solutions
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Cited alongside, same era.
https://github.com/hgascon/adagio
Adagio
Cited in the paper.
http://www.malgenomeproject.org/
Android malware genome project
Cited in the paper.
http://yann.lecun.com/exdb/mnist/
Mnist hand written digit dataset
Cited in the paper.
E. Rudd, A. Rozsa, M. Gunther, and T. Boult · 2017
Later among the works it cites.