Defense of word-level adversarial attacks via random substitution encoding

Z Wang, H Wang - … 13th International Conference, KSEM 2020, Hangzhou …, 2020 - Springer
The adversarial attacks against deep neural networks on computer vision tasks have
spawned many new technologies that help protect models from avoiding false predictions …

Defense of Word-level Adversarial Attacks via Random Substitution Encoding

Z Wang, H Wang - arXiv e-prints, 2020 - ui.adsabs.harvard.edu
The adversarial attacks against deep neural networks on computer vision tasks have
spawned many new technologies that help protect models from avoiding false predictions …

Defense of Word-Level Adversarial Attacks via Random Substitution Encoding

Z Wang, H Wang - … Conference on Knowledge Science, Engineering and …, 2020 - dl.acm.org
The adversarial attacks against deep neural networks on computer vision tasks have
spawned many new technologies that help protect models from avoiding false predictions …

Defense of Word-level Adversarial Attacks via Random Substitution Encoding

Z Wang, H Wang - arXiv preprint arXiv:2005.00446, 2020 - arxiv.org
The adversarial attacks against deep neural networks on computer vision tasks have
spawned many new technologies that help protect models from avoiding false predictions …