A Study of Defensive Methods to Protect Visual Recommendation Against Adversarial Manipulation of Images.
Vito Walter Anelli|Yashar Deldjoo|Tommaso Di Noia|Daniele Malitesta|Felice Antonio Merra
| Anthology ID: | DBLP:conf/sigir/AnelliDNMM21 |
|---|---|
| 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: | 1094-1103 |
| URL: | https://doi.org/10.1145/3404835.3462848 |
| DOI: | https://doi.org/10.1145/3404835.3462848 |
| DBLP: | conf/sigir/AnelliDNMM21 |
| BibTeX: |
@inproceedings{anelli-2021-study,
author = {Vito Walter Anelli and
Yashar Deldjoo and
Tommaso Di Noia and
Daniele Malitesta and
Felice Antonio Merra},
editor = {Fernando Diaz and
Chirag Shah and
Torsten Suel and
Pablo Castells and
Rosie Jones and
Tetsuya Sakai},
title = {{A Study of Defensive Methods to Protect Visual Recommendation Against Adversarial Manipulation of Images}},
booktitle = {{SIGIR '21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, Virtual Event, Canada, July 11-15, 2021}},
pages = {1094--1103},
publisher = {ACM},
year = {2021},
url = {https://doi.org/10.1145/3404835.3462848},
doi = {https://doi.org/10.1145/3404835.3462848}
}