Black-box Adversarial Attacks against Dense Retrieval Models: A Multi-view Contrastive Learning Method.
Yu-An Liu|Ruqing Zhang|Jiafeng Guo|Maarten de Rijke|Wei Chen|Yixing Fan|Xueqi Cheng
| Anthology ID: | DBLP:conf/cikm/Liu0GR0FC23 |
|---|---|
| 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: | 1647-1656 |
| URL: | https://doi.org/10.1145/3583780.3614793 |
| DOI: | https://doi.org/10.1145/3583780.3614793 |
| DBLP: | conf/cikm/Liu0GR0FC23 |
| BibTeX: |
@inproceedings{liu-2023-blackbox,
author = {Yu-An Liu and
Ruqing Zhang and
Jiafeng Guo and
Maarten de Rijke and
Wei Chen and
Yixing Fan and
Xueqi Cheng},
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 = {{Black-box Adversarial Attacks against Dense Retrieval Models: A Multi-view Contrastive Learning Method}},
booktitle = {{Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, CIKM 2023, Birmingham, United Kingdom, October 21-25, 2023}},
pages = {1647--1656},
publisher = {ACM},
year = {2023},
url = {https://doi.org/10.1145/3583780.3614793},
doi = {https://doi.org/10.1145/3583780.3614793}
}