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} }