Chong Guo, Michael J. Lee, Guillaume Leclerc, Joel Dapello, Yug Rao, Aleksander Madry, James J. DiCarlo. Adversarially trained neural representations are already as robust as biological neural representations. In Kamalika Chaudhuri, Stefanie Jegelka, Le Song, Csaba Szepesvári, Gang Niu 0001, Sivan Sabato, editors, International Conference on Machine Learning, ICML 2022, 17-23 July 2022, Baltimore, Maryland, USA. Volume 162 of Proceedings of Machine Learning Research, pages 8072-8081, PMLR, 2022. [doi]
@inproceedings{GuoLLDRMD22,
title = {Adversarially trained neural representations are already as robust as biological neural representations},
author = {Chong Guo and Michael J. Lee and Guillaume Leclerc and Joel Dapello and Yug Rao and Aleksander Madry and James J. DiCarlo},
year = {2022},
url = {https://proceedings.mlr.press/v162/guo22d.html},
researchr = {https://researchr.org/publication/GuoLLDRMD22},
cites = {0},
citedby = {0},
pages = {8072-8081},
booktitle = {International Conference on Machine Learning, ICML 2022, 17-23 July 2022, Baltimore, Maryland, USA},
editor = {Kamalika Chaudhuri and Stefanie Jegelka and Le Song and Csaba Szepesvári and Gang Niu 0001 and Sivan Sabato},
volume = {162},
series = {Proceedings of Machine Learning Research},
publisher = {PMLR},
}