Edward W. Ayers, Francisco Eiras, Majd Hawasly, Iain Whiteside. PaRoT: A Practical Framework for Robust Deep Neural Network Training. In Ritchie Lee, Susmit Jha, Anastasia Mavridou, editors, NASA Formal Methods - 12th International Symposium, NFM 2020, Moffett Field, CA, USA, May 11-15, 2020, Proceedings. Volume 12229 of Lecture Notes in Computer Science, pages 63-84, Springer, 2020. [doi]
@inproceedings{AyersEHW20,
title = {PaRoT: A Practical Framework for Robust Deep Neural Network Training},
author = {Edward W. Ayers and Francisco Eiras and Majd Hawasly and Iain Whiteside},
year = {2020},
doi = {10.1007/978-3-030-55754-6_4},
url = {https://doi.org/10.1007/978-3-030-55754-6_4},
researchr = {https://researchr.org/publication/AyersEHW20},
cites = {0},
citedby = {0},
pages = {63-84},
booktitle = {NASA Formal Methods - 12th International Symposium, NFM 2020, Moffett Field, CA, USA, May 11-15, 2020, Proceedings},
editor = {Ritchie Lee and Susmit Jha and Anastasia Mavridou},
volume = {12229},
series = {Lecture Notes in Computer Science},
publisher = {Springer},
isbn = {978-3-030-55754-6},
}