EVADE-Bench: Multimodal Benchmark for Evaluating and Enhancing Evasive Content Detection.

@inproceedings{xu-2026-evadebench, author = {Ancheng Xu and Geon Lee and Jyun-Yu Jiang and Liang Yan and Ancheng Xu and Geon Lee and Taeuk Kim and Zhihao Yang and Elinor Brondwine and Jingpeng Li and Jiehui Zhou and Wei-Cheng Chang and Taeuk Kim and Zhihao Yang and Elinor Brondwine and Jingpeng Li and Jiong Zhang and Zhen Qin and Guanghu Yuan and Kijung Shin and Cho-Jui Hsieh and Hengyu Chang and Longze Chen and Hsiang-Fu Yu and Yukun Chen and Jyun-Yu Jiang and Liang Yan and Jiehui Zhou and Wei-Cheng Chang and Jiong Zhang and Zhen Qin and Cho-Jui Hsieh and Hengyu Chang and Hsiang-Fu Yu and Yukun Chen and Hamid Alinejad-Rokny and Min Yang}, 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 = {{EVADE-Bench: Multimodal Benchmark for Evaluating and Enhancing Evasive Content 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 = {3506--3513}, publisher = {ACM}, year = {2026}, url = {https://doi.org/10.1145/3805712.3808579}, doi = {https://doi.org/10.1145/3805712.3808579} }