Security Metrics

Security metrics are essential for evaluating the robustness and privacy of machine learning models. These metrics help in quantifying the model’s vulnerability to various security threats and the effectiveness of defense mechanisms.

• SHAPr: SHapley vAlue-based Privacy Risk
  • Definition
  • Mathematical Formulation
  • Interpretation
  • Reference
• Attribute Inference Attack
  • Overview
  • Methodology
  • Example Workflow
  • Accuracy Calculation
• Data Minimization
  • Definition and Importance
  • Implementation Strategies
  • Classes Implementing Data Minimization
  • Formulations and Metrics
  • Discussion
  • References