ARC: A Tool to Rate AI Models for Robustness Through a Causal Lens for Enabling Trustworthy Model Selection.
Kausik Lakkaraju|Siva Likitha Valluru|Biplav Srivastava|Marco Valtorta
| Anthology ID: | DBLP:conf/www/LakkarajuVSV26 |
|---|---|
| Volume: | Companion Proceedings of the ACM Web Conference 2026, WWW Companion 2026, Dubai, United Arab Emirates, 29 June 2026 - 3 July 2026 |
| Year: | 2026 |
| Venue: | The Web Conference (WWW) |
| Publisher: | ACM |
| Pages: | 172-175 |
| URL: | https://doi.org/10.1145/3774905.3793129 |
| DOI: | https://doi.org/10.1145/3774905.3793129 |
| DBLP: | conf/www/LakkarajuVSV26 |
| BibTeX: |
@inproceedings{lakkaraju-2026-arc,
author = {Kausik Lakkaraju and
Siva Likitha Valluru and
Biplav Srivastava and
Marco Valtorta},
title = {{ARC: A Tool to Rate AI Models for Robustness Through a Causal Lens for Enabling Trustworthy Model Selection}},
booktitle = {{Companion Proceedings of the ACM Web Conference 2026, WWW Companion 2026, Dubai, United Arab Emirates, 29 June 2026 - 3 July 2026}},
pages = {172--175},
publisher = {ACM},
year = {2026},
url = {https://doi.org/10.1145/3774905.3793129},
doi = {https://doi.org/10.1145/3774905.3793129}
}