%0 Conference Paper %1 conf/icml/LiangWHZXSXMG23 %A Liang, Chumeng %A Wu, Xiaoyu %A Hua, Yang %A Zhang, Jiaru %A Xue, Yiming %A Song, Tao %A Xue, Zhengui %A Ma, Ruhui %A Guan, Haibing %B ICML %D 2023 %E Krause, Andreas %E Brunskill, Emma %E Cho, Kyunghyun %E Engelhardt, Barbara %E Sabato, Sivan %E Scarlett, Jonathan %I PMLR %K dblp %P 20763-20786 %T Adversarial Example Does Good: Preventing Painting Imitation from Diffusion Models via Adversarial Examples. %U http://dblp.uni-trier.de/db/conf/icml/icml2023.html#LiangWHZXSXMG23 %V 202

@inproceedings{conf/icml/LiangWHZXSXMG23, added-at = {2023-08-28T00:00:00.000+0200}, author = {Liang, Chumeng and Wu, Xiaoyu and Hua, Yang and Zhang, Jiaru and Xue, Yiming and Song, Tao and Xue, Zhengui and Ma, Ruhui and Guan, Haibing}, biburl = {https://www.bibsonomy.org/bibtex/2998fd9e8fcf23c502c49ec15424c4af1/dblp}, booktitle = {ICML}, crossref = {conf/icml/2023}, editor = {Krause, Andreas and Brunskill, Emma and Cho, Kyunghyun and Engelhardt, Barbara and Sabato, Sivan and Scarlett, Jonathan}, ee = {https://proceedings.mlr.press/v202/liang23g.html}, interhash = {9ced2f71b831318ec186295552c13d25}, intrahash = {998fd9e8fcf23c502c49ec15424c4af1}, keywords = {dblp}, pages = {20763-20786}, publisher = {PMLR}, series = {Proceedings of Machine Learning Research}, timestamp = {2024-04-10T01:43:32.000+0200}, title = {Adversarial Example Does Good: Preventing Painting Imitation from Diffusion Models via Adversarial Examples.}, url = {http://dblp.uni-trier.de/db/conf/icml/icml2023.html#LiangWHZXSXMG23}, volume = 202, year = 2023 }