Author:
Li Huifeng,Jia Pengzhou,Li Weixun,Ma Bin,Li Bo,Wu Dexin,Li Haoran
Publisher
Springer Nature Singapore
Reference33 articles.
1. Abdoli, S., Hafemann, L.G., Rony, J., Ayed, I.B., Cardinal, P., Koerich, A.L.: Universal adversarial audio perturbations. arXiv abs/1908.03173 (2019)
2. Alom, M.Z., Aspiras, T.H., Taha, T.M., Asari, V.K.: Skin cancer segmentation and classification with NABLA-N and inception recurrent residual convolutional networks. arXiv abs/1904.11126 (2019)
3. Antón, S.D., Kanoor, S., Fraunholz, D., Schotten, H.D.: Evaluation of machine learning-based anomaly detection algorithms on an industrial Modbus/TCP data set. In: ARES (2018)
4. Brown, T.B., Mané, D., Roy, A., Abadi, M., Gilmer, J.: Adversarial patch. arXiv abs/1712.09665 (2017)
5. Carlini, N., Wagner, D.A.: Towards evaluating the robustness of neural networks. In: 2017 IEEE S &P (2017)