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: | , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
International Machine Learning Society,
2021-03-04T13:28:23Z.
|
| Subjects: | |
| Online Access: | Get fulltext |