Goodfellow et al. demonstrated that neural networks with high accuracy on clean inputs can be extremely fragile and easily misclassify inputs when perturbed by imperceptible noise, due to an overreliance on non-robust or spurious features.

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)

• artificial neural networks concept