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First-Order Adversarial Vulnerability of Neural Networks and Input Dimension

2019

Conference Paper

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Author(s): Simon-Gabriel, C.-J. and Ollivier, Y. and Bottou, L. and Schölkopf, B. and Lopez-Paz, D.
Book Title: Proceedings of the 36th International Conference on Machine Learning (ICML)
Volume: 97
Pages: 5809--5817
Year: 2019
Month: June

Series: Proceedings of Machine Learning Research
Editors: Chaudhuri, Kamalika and Salakhutdinov, Ruslan
Publisher: PMLR

Department(s): Empirical Inference
Bibtex Type: Conference Paper (conference)

Event Place: Long Beach, California, USA

State: Published
URL: http://proceedings.mlr.press/v97/simon-gabriel19a.html

Links: PDF

BibTex

@conference{SimonGabrieletal19,
  title = {First-Order Adversarial Vulnerability of Neural Networks and Input Dimension},
  author = {},
  booktitle = {Proceedings of the 36th International Conference on Machine Learning (ICML)},
  volume = {97},
  pages = {5809--5817},
  series = {Proceedings of Machine Learning Research},
  editors = {Chaudhuri, Kamalika and Salakhutdinov, Ruslan},
  publisher = {PMLR},
  month = jun,
  year = {2019},
  url = {http://proceedings.mlr.press/v97/simon-gabriel19a.html},
  month_numeric = {6}
}