Boosting Adversarial Robustness using Feature Level Stochastic Smoothing
2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)(2021)
摘要
Advances in adversarial defenses have led to a significant improvement in the robustness of Deep Neural Networks. However, the robust accuracy of present state-of-the-art defenses is far from the requirements in critical applications such as robotics and autonomous navigation systems. Further, in practical use cases, network prediction alone might not suffice, and assignment of a confidence value ...
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关键词
Training,Deep learning,Computer vision,Smoothing methods,Conferences,Boosting,Feature extraction
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