Author of the publication

copy delete add this publication to your clipboard
community post
history of this post
URL
DOI
BibTeX
EndNote
APA
Chicago
DIN 1505
Harvard
MSOffice XML

Counterstrike: Defending Deep Learning Architectures Against Adversarial Samples by Langevin Dynamics with Supervised Denoising Autoencoder.

V. Srinivasan, A. Marbán, K. Müller, W. Samek, and S. Nakajima. CoRR, (2018)

Please choose a person to relate this publication to

To differ between persons with the same name, the academic degree and the title of an important publication will be displayed. You can also use the button next to the name to display some publications already assigned to the person.

No persons found for author name Nakajima, Shinichi

add a person with the name Nakajima, Shinichi

Other publications of authors with the same name

Generalization Error of Linear Neural Networks in an Empirical Bayes Approach.S. Nakajima, and S. Watanabe. IJCAI, page 804-810. Professional Book Center, (2005)Wasserstein Stationary Subspace Analysis.S. Kaltenstadler, S. Nakajima, K. Müller, and W. Samek. J. Sel. Topics Signal Processing, 12 (6): 1213-1223 (2018)Tight Bound of Incremental Cover Trees for Dynamic Diversification.H. Marienwald, W. Pronobis, K. Müller, and S. Nakajima. CoRR, (2018)Partial Optimality of Dual Decomposition for MAP Inference in Pairwise MRFs.A. Bauer, S. Nakajima, N. Görnitz, and K. Müller. CoRR, (2017)Sparse Additive Matrix Factorization for Robust PCA and Its Generalization.S. Nakajima, M. Sugiyama, and S. Babacan. ACML, volume 25 of JMLR Proceedings, page 301-316. JMLR.org, (2012)Worst-Case Polynomial-Time Exact MAP Inference on Discrete Models with Global Dependencies.A. Bauer, and S. Nakajima. CoRR, (2019)Pool-based active learning in approximate linear regression.M. Sugiyama, and S. Nakajima. Machine Learning, 75 (3): 249-274 (2009)Global Solution of Fully-Observed Variational Bayesian Matrix Factorization is Column-Wise Independent.S. Nakajima, M. Sugiyama, and S. Babacan. NIPS, page 208-216. (2011)Direct Importance Estimation with Model Selection and Its Application to Covariate Shift Adaptation.M. Sugiyama, S. Nakajima, H. Kashima, P. von Bünau, and M. Kawanabe. NIPS, page 1433-1440. Curran Associates, Inc., (2007)Nikon Multimedia Event Detection System.T. Matsuo, and S. Nakajima. TRECVID, National Institute of Standards and Technology (NIST), (2010)

PUMA

Disambiguation of "Nakajima, Shinichi"

copy delete add this publication to your clipboard
community post
history of this post
URL
DOI
BibTeX
EndNote
APA
Chicago
DIN 1505
Harvard
MSOffice XML

Counterstrike: Defending Deep Learning Architectures Against Adversarial Samples by Langevin Dynamics with Supervised Denoising Autoencoder.

Please choose a person to relate this publication to

Other publications of authors with the same name

Disambiguation

PUMA

Disambiguation of "Nakajima, Shinichi"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Counterstrike: Defending Deep Learning Architectures Against Adversarial Samples by Langevin Dynamics with Supervised Denoising Autoencoder.

Please choose a person to relate this publication to

Other publications of authors with the same name

Disambiguation

copy delete add this publication to your clipboard
community post
history of this post
URL
DOI
BibTeX
EndNote
APA
Chicago
DIN 1505
Harvard
MSOffice XML

Counterstrike: Defending Deep Learning Architectures Against Adversarial Samples by Langevin Dynamics with Supervised Denoising Autoencoder.