Measuring the Effect of Causal Disentanglement on the Adversarial Robustness of Neural Network Models.
Preben M. Ness|Dusica Marijan|Sunanda Bose
| Anthology ID: | DBLP:conf/cikm/NessMB23 |
|---|---|
| Volume: | Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, CIKM 2023, Birmingham, United Kingdom, October 21-25, 2023 |
| Year: | 2023 |
| Venue: | International Conference on Information and Knowledge Management (CIKM) |
| Publisher: | ACM |
| Pages: | 1907-1916 |
| URL: | https://doi.org/10.1145/3583780.3614960 |
| DOI: | https://doi.org/10.1145/3583780.3614960 |
| DBLP: | conf/cikm/NessMB23 |
| BibTeX: |
@inproceedings{ness-2023-measuring,
author = {Preben M. Ness and
Dusica Marijan and
Sunanda Bose},
editor = {Ingo Frommholz and
Frank Hopfgartner and
Mark Lee and
Michael P. Oakes and
Mounia Lalmas-Roelleke and
Min Zhang and
Rodrygo L. T. Santos},
title = {{Measuring the Effect of Causal Disentanglement on the Adversarial Robustness of Neural Network Models}},
booktitle = {{Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, CIKM 2023, Birmingham, United Kingdom, October 21-25, 2023}},
pages = {1907--1916},
publisher = {ACM},
year = {2023},
url = {https://doi.org/10.1145/3583780.3614960},
doi = {https://doi.org/10.1145/3583780.3614960}
}