Meta data
- BibTeX key
- conf/sigir/WuLGZCY21
- entry type
- inproceedings
- booktitle
- SIGIR
- year
- 2021
- pages
- 1074-1083
- publisher
- ACM
- crossref
- conf/sigir/2021
- ee
- https://doi.org/10.1145/3404835.3462914
- isbn
- 978-1-4503-8037-9
- url
- http://dblp.uni-trier.de/db/conf/sigir/sigir2021.html#WuLGZCY21
Tags
Users
Comments and Reviewsshow / hide
Cite this publication
More citation styles
- please select -%0 Conference Paper
%1 conf/sigir/WuLGZCY21
%A Wu, Chenwang
%A Lian, Defu
%A Ge, Yong
%A Zhu, Zhihao
%A Chen, Enhong
%A Yuan, Senchao
%B SIGIR
%D 2021
%E Diaz, Fernando
%E Shah, Chirag
%E Suel, Torsten
%E Castells, Pablo
%E Jones, Rosie
%E Sakai, Tetsuya
%I ACM
%K dblp
%P 1074-1083
%T Fight Fire with Fire: Towards Robust Recommender Systems via Adversarial Poisoning Training.
%U http://dblp.uni-trier.de/db/conf/sigir/sigir2021.html#WuLGZCY21
%@ 978-1-4503-8037-9
@inproceedings{conf/sigir/WuLGZCY21,
added-at = {2024-02-05T00:00:00.000+0100},
author = {Wu, Chenwang and Lian, Defu and Ge, Yong and Zhu, Zhihao and Chen, Enhong and Yuan, Senchao},
biburl = {https://www.bibsonomy.org/bibtex/2bdc6c5516f8be984aa0b172124f5df1b/dblp},
booktitle = {SIGIR},
crossref = {conf/sigir/2021},
editor = {Diaz, Fernando and Shah, Chirag and Suel, Torsten and Castells, Pablo and Jones, Rosie and Sakai, Tetsuya},
ee = {https://doi.org/10.1145/3404835.3462914},
interhash = {0cc023073cd11e93ae7638e844a8b240},
intrahash = {bdc6c5516f8be984aa0b172124f5df1b},
isbn = {978-1-4503-8037-9},
keywords = {dblp},
pages = {1074-1083},
publisher = {ACM},
timestamp = {2024-04-09T23:04:21.000+0200},
title = {Fight Fire with Fire: Towards Robust Recommender Systems via Adversarial Poisoning Training.},
url = {http://dblp.uni-trier.de/db/conf/sigir/sigir2021.html#WuLGZCY21},
year = 2021
}