The error rate under attack is a robustness metric that measures the proportion of adversarially perturbed inputs that a machine learning model misclassifies.

Authors

• Person: Not available Organization: Springer
  A Comprehensive Review of Neuro-symbolic AI for Robustness ...

Sources

• A Comprehensive Review of Neuro-symbolic AI for Robustness ... link.springer.com Springer via serper

Referenced by nodes (1)

• machine learning models concept