Mitigating Adversarial Attacks by Transferring LLM-generated Narrative Reasoning for Robust Fake News Detection.
Mengyang Chen|Lingwei Wei|Wei Zhou|Songlin Hu
| Anthology ID: | DBLP:conf/sigir/ChenWZH26 |
|---|---|
| Volume: | Proceedings of the 49th International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2026, MelbourneVICAustralia, July 20-24, 2026 |
| Year: | 2026 |
| Venue: | Annual International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR) |
| Publisher: | ACM |
| Pages: | 190-201 |
| URL: | https://doi.org/10.1145/3805712.3809585 |
| DOI: | https://doi.org/10.1145/3805712.3809585 |
| DBLP: | conf/sigir/ChenWZH26 |
| BibTeX: |
@inproceedings{chen-2026-mitigating,
author = {Mengyang Chen and
Lingwei Wei and
Wei Zhou and
Songlin Hu},
editor = {Hannah Bast and
Alistair Moffat and
Falk Scholer and
Marc Najork and
Min Zhang and
Hannah Bast and
Marc Najork and
Min Zhang},
title = {{Mitigating Adversarial Attacks by Transferring LLM-generated Narrative Reasoning for Robust Fake News Detection}},
booktitle = {{Proceedings of the 49th International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2026, MelbourneVICAustralia, July 20-24, 2026}},
pages = {190--201},
publisher = {ACM},
year = {2026},
url = {https://doi.org/10.1145/3805712.3809585},
doi = {https://doi.org/10.1145/3805712.3809585}
}