@InProceedings{chowdhury_et_al:LIPIcs.FORC.2022.5,
  author =	{Chowdhury, Sadia and Urner, Ruth},
  title =	{{Robustness Should Not Be at Odds with Accuracy}},
  booktitle =	{3rd Symposium on Foundations of Responsible Computing (FORC 2022)},
  pages =	{5:1--5:20},
  series =	{Leibniz International Proceedings in Informatics (LIPIcs)},
  ISBN =	{978-3-95977-226-6},
  ISSN =	{1868-8969},
  year =	{2022},
  volume =	{218},
  editor =	{Celis, L. Elisa},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops.dagstuhl.de/entities/document/10.4230/LIPIcs.FORC.2022.5},
  URN =		{urn:nbn:de:0030-drops-165280},
  doi =		{10.4230/LIPIcs.FORC.2022.5},
  annote =	{Keywords: Statistical Learning Theory, Bayes optimal classifier, adversarial perturbations, adaptive robust loss}
}