"Counterstrike: Defending Deep Learning Architectures Against Adversarial ..."

Vignesh Srinivasan et al. (2018)

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DOI: —

access: open

type: Informal or Other Publication

metadata version: 2018-08-13

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  - electronic edition @ arxiv.org (open access)
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  dblp key:
  - journals/corr/abs-1805-12017
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  persistent URL:
  - https://dblp.org/rec/journals/corr/abs-1805-12017
Vignesh Srinivasan, Arturo Marbán, Klaus-Robert Müller, Wojciech Samek, Shinichi Nakajima:
Counterstrike: Defending Deep Learning Architectures Against Adversarial Samples by Langevin Dynamics with Supervised Denoising Autoencoder. CoRR abs/1805.12017 (2018)

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