Targeted robustness evaluates a machine learning model’s ability to avoid being steered toward a specific, attacker-chosen target label, which complements untargeted notions that only measure any form of misclassification.

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