1. Akhtar, N., Liu, J., & Mian, A. (2018). Defense Against Universal Adversarial Perturbations. In Proceedings of the IEEE conference on computer vision and pattern recognition.
2. Fast image inpainting based on coherence transport;Bornemann;Journal of Mathematical Imaging and Vision,2007
3. Brown, T. B., Mané, D., Roy, A., Abadi, M., & Gilmer, J. (2017). Adversarial patch. http://dx.doi.org/10.48550/ARXIV.1712.09665. URL https://arxiv.org/abs/1712.09665.
4. Towards evaluating the robustness of neural networks;Carlini,2017
5. Turning your strength against you: Detecting and mitigating robust and universal adversarial patch attacks;Chen,2021