Multi-Agent System for Adversarial Robustness and Originality Attribution in Short-Form Videos.
| Anthology ID: | DBLP:conf/wsdm/GautamB26 |
|---|---|
| Volume: | Proceedings of the Nineteenth ACM International Conference on Web Search and Data Mining, WSDM 2026, Boise, ID, USA, February 22-26, 2026 |
| Year: | 2026 |
| Venue: | Web Search and Data Mining (WSDM) |
| Publisher: | ACM |
| Pages: | 1347-1348 |
| URL: | https://doi.org/10.1145/3773966.3784974 |
| DOI: | https://doi.org/10.1145/3773966.3784974 |
| DBLP: | conf/wsdm/GautamB26 |
| BibTeX: |
@inproceedings{gautam-2026-multiagent,
author = {Aditya Gautam and
Somya Bhargava},
title = {{Multi-Agent System for Adversarial Robustness and Originality Attribution in Short-Form Videos}},
booktitle = {{Proceedings of the Nineteenth ACM International Conference on Web Search and Data Mining, WSDM 2026, Boise, ID, USA, February 22-26, 2026}},
pages = {1347--1348},
publisher = {ACM},
year = {2026},
url = {https://doi.org/10.1145/3773966.3784974},
doi = {https://doi.org/10.1145/3773966.3784974}
}