1. Detection of adversarial examples based on sensitivities to noise removal filter;higashi;2020 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC),2020
2. Multi-Targeted Adversarial Example in Evasion Attack on Deep Neural Network
3. Imperceptible, robust, and targeted adversarial examples for automatic speech recognition;qin;Proceedings of the 36th International Conference on Machine Learning Vol 97 of Proceedings of Machine Learning Research,0
4. Deepfool: a simple and accurate method to fool deep neural networks;moosavi-dezfooli;Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition,2016
5. Adversarial machine learning at scale;kurakin;International Conference on Learning Representations,2017