DeepSafe: A Data-Driven Approach for Assessing Robustness of Neural Networks
ATVA, pp. 3-19, 2018.
Deep neural networks have achieved impressive results in many complex applications, including classification tasks for image and speech recognition, pattern analysis or perception in self-driving vehicles. However, it has been observed that even highly trained networks are very vulnerable to adversarial perturbations. Adding minimal chang...More
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