Manipulating Out-Domain Uncertainty Estimation in Deep Neural Networks via Targeted Clean-Label Poisoning.
Huimin Zeng|Zhenrui Yue|Yang Zhang|Lanyu Shang|Dong Wang
| Anthology ID: | DBLP:conf/cikm/ZengYZSW23 |
|---|---|
| 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: | 3114-3123 |
| URL: | https://doi.org/10.1145/3583780.3614957 |
| DOI: | https://doi.org/10.1145/3583780.3614957 |
| DBLP: | conf/cikm/ZengYZSW23 |
| BibTeX: |
@inproceedings{zeng-2023-manipulating,
author = {Huimin Zeng and
Zhenrui Yue and
Yang Zhang and
Lanyu Shang and
Dong Wang},
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 = {{Manipulating Out-Domain Uncertainty Estimation in Deep Neural Networks via Targeted Clean-Label Poisoning}},
booktitle = {{Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, CIKM 2023, Birmingham, United Kingdom, October 21-25, 2023}},
pages = {3114--3123},
publisher = {ACM},
year = {2023},
url = {https://doi.org/10.1145/3583780.3614957},
doi = {https://doi.org/10.1145/3583780.3614957}
}