4,680,000 Yen
(Direct Cost: 3,600,000 Yen Indirect Cost: 1,080,000 Yen)
Research Abstract
Deep neural networks (DNNs) have achieved tremendous success in various areas. However, they are vulnerable to adversarial examples, which has posed severe security risks for DNNs. We propose to develop practical and scalable techniques for quality assurance of adversarial robustness of DNNs.
