Fight Fire with Fire: Towards Robust Recommender Systems via Adversarial Poisoning Training.
Chenwang Wu|Defu Lian|Yong Ge|Zhihao Zhu|Enhong Chen|Senchao Yuan
| Anthology ID: | DBLP:conf/sigir/WuLGZCY21 |
|---|---|
| Volume: | SIGIR '21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, Virtual Event, Canada, July 11-15, 2021 |
| Year: | 2021 |
| Venue: | Annual International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR) |
| Publisher: | ACM |
| Pages: | 1074-1083 |
| URL: | https://doi.org/10.1145/3404835.3462914 |
| DOI: | https://doi.org/10.1145/3404835.3462914 |
| DBLP: | conf/sigir/WuLGZCY21 |
| BibTeX: |
@inproceedings{wu-2021-fight,
author = {Chenwang Wu and
Defu Lian and
Yong Ge and
Zhihao Zhu and
Enhong Chen and
Senchao Yuan},
editor = {Fernando Diaz and
Chirag Shah and
Torsten Suel and
Pablo Castells and
Rosie Jones and
Tetsuya Sakai},
title = {{Fight Fire with Fire: Towards Robust Recommender Systems via Adversarial Poisoning Training}},
booktitle = {{SIGIR '21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, Virtual Event, Canada, July 11-15, 2021}},
pages = {1074--1083},
publisher = {ACM},
year = {2021},
url = {https://doi.org/10.1145/3404835.3462914},
doi = {https://doi.org/10.1145/3404835.3462914}
}