A Quantitative Analysis Framework for Recurrent Neural Network
ASE, pp. 1062-1065, 2019.
Recurrent neural network (RNN) has achieved great success in processing sequential inputs for applications such as automatic speech recognition, natural language processing and machine translation. However, quality and reliability issues of RNNs make them vulnerable to adversarial attacks and hinder their deployment in real-world applicat...More
Full Text (Upload PDF)
PPT (Upload PPT)