IEEE13-AdvAttack A Novel Dataset for Benchmarking the Power of Adversarial Attacks against Fault Prediction Systems in Smart Electrical Grid.
Carmelo Ardito|Yashar Deldjoo|Tommaso Di Noia|Eugenio Di Sciascio|Fatemeh Nazary
| Anthology ID: | DBLP:conf/cikm/ArditoDNSN22 |
|---|---|
| Volume: | Proceedings of the 31st ACM International Conference on Information & Knowledge Management, Atlanta, GA, USA, October 17-21, 2022 |
| Year: | 2022 |
| Venue: | International Conference on Information and Knowledge Management (CIKM) |
| Publisher: | ACM |
| Pages: | 3817-3821 |
| URL: | https://doi.org/10.1145/3511808.3557612 |
| DOI: | https://doi.org/10.1145/3511808.3557612 |
| DBLP: | conf/cikm/ArditoDNSN22 |
| BibTeX: |
@inproceedings{ardito-2022-ieee13advattack,
author = {Carmelo Ardito and
Yashar Deldjoo and
Tommaso Di Noia and
Eugenio Di Sciascio and
Fatemeh Nazary},
editor = {Mohammad Al Hasan and
Li Xiong},
title = {{IEEE13-AdvAttack A Novel Dataset for Benchmarking the Power of Adversarial Attacks against Fault Prediction Systems in Smart Electrical Grid}},
booktitle = {{Proceedings of the 31st ACM International Conference on Information & Knowledge Management, Atlanta, GA, USA, October 17-21, 2022}},
pages = {3817--3821},
publisher = {ACM},
year = {2022},
url = {https://doi.org/10.1145/3511808.3557612},
doi = {https://doi.org/10.1145/3511808.3557612}
}