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Panasonic (Japan)

Japan

2 papers here1.1k citations across 2
fields
  • cs.CV1
  • cs.LG1
ROR 011tm7n37OpenAlex

affiliations via OpenAlex

most citedTowards Deep Neural Network Architectures Robust to Adversarial Examples

635 citations

researchers with a paper here
  • Adnan Mujahid Khan1
  • Alessandro Giusti1
  • Anant Madabhushi1
  • Anders Bjorholm Dahl1
  • Anders Larsen1
  • Ángel Cruz-Roa1
  • Bogdan J. Matuszewski1
  • Ching‐Wei Wang1
  • Dan Cireşan1
  • Evdokia Arkoumani1
  • Fabio A. González1
  • F. Boray Tek1
collaborating institutions
  • Case Western Reserve UniversityUS1 paper
  • Centre National de la Recherche ScientifiqueFR1 paper
  • Dalle Molle Institute for Artificial Intelligence ResearchCH1 paper
  • InsermFR1 paper
  • Institut CurieFR1 paper
  • Işık UniversityTR1 paper
  • Konica Minolta (Japan)JP1 paper
  • Max Planck InnovationDE1 paper
  • Max Planck SocietyDE1 paper
  • National Taiwan University of Science and TechnologyTW1 paper
  • ParisTechFR1 paper
  • Princess Alexandra Hospital NHS TrustGB1 paper

2 papers

cs.LG2014★ 635 cited

Towards Deep Neural Network Architectures Robust to Adversarial Examples

Shixiang Gu, Luca Rigazio

Recent work has shown deep neural networks (DNNs) to be highly susceptible to well-designed, small perturbations at the input layer, or so-called adversarial examples. Taking image…

cs.CV2014★ 480 cited

Assessment of algorithms for mitosis detection in breast cancer histopathology images

Mitko Veta, Paul J. van Diest, Stefan M. Willems +26

The proliferative activity of breast tumors, which is routinely estimated by counting of mitotic figures in hematoxylin and eosin stained histology sections, is considered to be on…

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