FraudShield: Knowledge Graph Empowered Defense for LLMs against Fraud Attacks.
Naen Xu|Jinghuai Zhang|Ping He|Chunyi Zhou|Jun Wang|Zhihui Fu|Tianyu Du|Zhaoxiang Wang|Shouling Ji
| Anthology ID: | DBLP:conf/www/XuZHZWFDWJ26 |
|---|---|
| Volume: | Proceedings of the ACM Web Conference 2026, WWW 2026, Dubai, United Arab Emirates, originally scheduled for April 13-17, 2026, rescheduled for June 29 - July 3, 2026. |
| Year: | 2026 |
| Venue: | The Web Conference (WWW) |
| Publisher: | ACM |
| Pages: | 2649-2660 |
| URL: | https://doi.org/10.1145/3774904.3792199 |
| DOI: | https://doi.org/10.1145/3774904.3792199 |
| DBLP: | conf/www/XuZHZWFDWJ26 |
| BibTeX: |
@inproceedings{xu-2026-fraudshield,
author = {Naen Xu and
Jinghuai Zhang and
Ping He and
Chunyi Zhou and
Jun Wang and
Zhihui Fu and
Tianyu Du and
Zhaoxiang Wang and
Shouling Ji},
editor = {Hakim Hacid and
Yoelle Maarek and
Francesco Bonchi and
Ido Guy and
Emine Yilmaz},
title = {{FraudShield: Knowledge Graph Empowered Defense for LLMs against Fraud Attacks}},
booktitle = {{Proceedings of the ACM Web Conference 2026, WWW 2026, Dubai, United Arab Emirates, originally scheduled for April 13-17, 2026, rescheduled for June 29 - July 3, 2026}},
pages = {2649--2660},
publisher = {ACM},
year = {2026},
url = {https://doi.org/10.1145/3774904.3792199},
doi = {https://doi.org/10.1145/3774904.3792199}
}