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Investigating Vulnerability to Adversarial Examples on Multimodal Data Fusion in Deep Learning
The success of multimodal data fusion in deep learning appears to be attributed to the use of complementary in-formation between multiple input data.
Revisiting Role of Autoencoders in Adversarial Settings
Through the comprehensive experimental results and analysis, this paper presents the inherent property of adversarial robustness in the autoencoders.
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