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} }