%0 Conference Paper %1 conf/aaai/HsuCLLY22 %A Hsu, Chia-Yi %A Chen, Pin-Yu %A Lu, Songtao %A Liu, Sijia %A Yu, Chia-Mu %B AAAI %D 2022 %I AAAI Press %K dblp %P 6926-6934 %T Adversarial Examples Can Be Effective Data Augmentation for Unsupervised Machine Learning. %U http://dblp.uni-trier.de/db/conf/aaai/aaai2022.html#HsuCLLY22 %@ 978-1-57735-876-3

@inproceedings{conf/aaai/HsuCLLY22, added-at = {2023-09-04T00:00:00.000+0200}, author = {Hsu, Chia-Yi and Chen, Pin-Yu and Lu, Songtao and Liu, Sijia and Yu, Chia-Mu}, biburl = {https://www.bibsonomy.org/bibtex/2d25b3344a0f7cf98042bf18efb4c59c8/dblp}, booktitle = {AAAI}, crossref = {conf/aaai/2022}, ee = {https://doi.org/10.1609/aaai.v36i6.20650}, interhash = {ba98380a838f22678a0908bea22aa957}, intrahash = {d25b3344a0f7cf98042bf18efb4c59c8}, isbn = {978-1-57735-876-3}, keywords = {dblp}, pages = {6926-6934}, publisher = {AAAI Press}, timestamp = {2024-04-09T18:12:25.000+0200}, title = {Adversarial Examples Can Be Effective Data Augmentation for Unsupervised Machine Learning.}, url = {http://dblp.uni-trier.de/db/conf/aaai/aaai2022.html#HsuCLLY22}, year = 2022 }