An Analysis of Untargeted Poisoning Attack and Defense Methods for Federated Online Learning to Rank Systems.

Shuyi Wang|Guido Zuccon


Anthology ID:DBLP:conf/ictir/WangZ23
Volume:Proceedings of the 2023 ACM SIGIR International Conference on Theory of Information Retrieval, ICTIR 2023, Taipei, Taiwan, 23 July 2023
Year:2023
Venue:International Conference on the Theory of Information Retrieval (ICTIR)
Publisher:ACM
Pages:215-224
URL:https://doi.org/10.1145/3578337.3605117
DOI:https://doi.org/10.1145/3578337.3605117
DBLP:conf/ictir/WangZ23
BibTeX:
@inproceedings{wang-2023-analysis, author = {Shuyi Wang and Guido Zuccon}, editor = {Masaharu Yoshioka and Julia Kiseleva and Mohammad Aliannejadi}, title = {{An Analysis of Untargeted Poisoning Attack and Defense Methods for Federated Online Learning to Rank Systems}}, booktitle = {{Proceedings of the 2023 ACM SIGIR International Conference on Theory of Information Retrieval, ICTIR 2023, Taipei, Taiwan, 23 July 2023}}, pages = {215--224}, publisher = {ACM}, year = {2023}, url = {https://doi.org/10.1145/3578337.3605117}, doi = {https://doi.org/10.1145/3578337.3605117} }