Can LLMs Fool Graph Learning? Exploring Universal Adversarial Attacks on Text-Attributed Graphs.
Zihui Chen|Yuling Wang|Pengfei Jiao|Kai Wu|Xiao Wang|Xiang Ao|Dalin Zhang
| Anthology ID: | DBLP:conf/www/ChenWJWWAZ26 |
|---|---|
| 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: | 1217-1228 |
| URL: | https://doi.org/10.1145/3774904.3792502 |
| DOI: | https://doi.org/10.1145/3774904.3792502 |
| DBLP: | conf/www/ChenWJWWAZ26 |
| BibTeX: |
@inproceedings{chen-2026-llms,
author = {Zihui Chen and
Yuling Wang and
Pengfei Jiao and
Kai Wu and
Xiao Wang and
Xiang Ao and
Dalin Zhang},
editor = {Hakim Hacid and
Yoelle Maarek and
Francesco Bonchi and
Ido Guy and
Emine Yilmaz},
title = {{Can LLMs Fool Graph Learning? Exploring Universal Adversarial Attacks on Text-Attributed Graphs}},
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 = {1217--1228},
publisher = {ACM},
year = {2026},
url = {https://doi.org/10.1145/3774904.3792502},
doi = {https://doi.org/10.1145/3774904.3792502}
}