Adversarial Robustness of Deep Learning: Theory, Algorithms, and Applications.
Wenjie Ruan|Xinping Yi|Xiaowei Huang
| Anthology ID: | DBLP:conf/cikm/RuanY021 |
|---|---|
| Volume: | CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1 - 5, 2021 |
| Year: | 2021 |
| Venue: | International Conference on Information and Knowledge Management (CIKM) |
| Publisher: | ACM |
| Pages: | 4866-4869 |
| URL: | https://doi.org/10.1145/3459637.3482029 |
| DOI: | https://doi.org/10.1145/3459637.3482029 |
| DBLP: | conf/cikm/RuanY021 |
| BibTeX: |
@inproceedings{ruan-2021-adversarial,
author = {Wenjie Ruan and
Xinping Yi and
Xiaowei Huang},
editor = {Gianluca Demartini and
Guido Zuccon and
J. Shane Culpepper and
Zi Huang and
Hanghang Tong},
title = {{Adversarial Robustness of Deep Learning: Theory, Algorithms, and Applications}},
booktitle = {{CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1 - 5, 2021}},
pages = {4866--4869},
publisher = {ACM},
year = {2021},
url = {https://doi.org/10.1145/3459637.3482029},
doi = {https://doi.org/10.1145/3459637.3482029}
}