Jianguo Jiang, Boquan Li, Min Yu, Chao Liu, Weiqing Huang, Lejun Fan, Jianfeng Xia. Restoration as a Defense Against Adversarial Perturbations for Spam Image Detection. In Igor V. Tetko, Vera Kurková, Pavel Karpov, Fabian J. Theis, editors, Artificial Neural Networks and Machine Learning - ICANN 2019: Image Processing - 28th International Conference on Artificial Neural Networks, Munich, Germany, September 17-19, 2019, Proceedings, Part III. Volume 11729 of Lecture Notes in Computer Science, pages 711-723, Springer, 2019. [doi]
@inproceedings{JiangLYLHFX19,
title = {Restoration as a Defense Against Adversarial Perturbations for Spam Image Detection},
author = {Jianguo Jiang and Boquan Li and Min Yu and Chao Liu and Weiqing Huang and Lejun Fan and Jianfeng Xia},
year = {2019},
doi = {10.1007/978-3-030-30508-6_56},
url = {https://doi.org/10.1007/978-3-030-30508-6_56},
researchr = {https://researchr.org/publication/JiangLYLHFX19},
cites = {0},
citedby = {0},
pages = {711-723},
booktitle = {Artificial Neural Networks and Machine Learning - ICANN 2019: Image Processing - 28th International Conference on Artificial Neural Networks, Munich, Germany, September 17-19, 2019, Proceedings, Part III},
editor = {Igor V. Tetko and Vera Kurková and Pavel Karpov and Fabian J. Theis},
volume = {11729},
series = {Lecture Notes in Computer Science},
publisher = {Springer},
isbn = {978-3-030-30508-6},
}