POPQORN: Quantifying robustness of recurrent neural networks
The vulnerability to adversarial attacks has been a critical issue for deep neural networks. Addressing this issue requires a reliable way to evaluate the robustness of a network. Recently, several methods have been developed to compute robustness quantification for neural networks, namely, certifie...
| Main Authors: | , |
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| Other Authors: | |
| Format: | Article |
| Language: | English |
| Published: |
International Machine Learning Society
2021
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| Online Access: | https://hdl.handle.net/1721.1/130075 |