Machine Learning and Cybersecurity

  1. Explainable AI and Interpretability
    1. Importance of Explainability in Security
      1. Trust and Adoption
        1. Regulatory Compliance
          1. Debugging and Improvement
            1. Human-AI Collaboration
            2. Types of Explanations
              1. Global Explanations
                1. Model-Level Interpretability
                  1. Feature Importance
                    1. Rule Extraction
                    2. Local Explanations
                      1. Instance-Level Explanations
                        1. Counterfactual Explanations
                          1. Example-Based Explanations
                        2. Interpretability Techniques
                          1. Model-Agnostic Methods
                            1. LIME (Local Interpretable Model-agnostic Explanations)
                              1. SHAP (SHapley Additive exPlanations)
                                1. Permutation Importance
                                  1. Partial Dependence Plots
                                  2. Model-Specific Methods
                                    1. Decision Tree Visualization
                                      1. Linear Model Coefficients
                                        1. Neural Network Visualization
                                          1. Activation Maximization
                                            1. Saliency Maps
                                              1. Grad-CAM
                                            2. Post-Hoc Explanations
                                              1. Surrogate Models
                                                1. Rule-Based Explanations
                                                  1. Prototype-Based Explanations
                                                2. Evaluation of Explanations
                                                  1. Faithfulness
                                                    1. Stability
                                                      1. Comprehensibility
                                                        1. Human Studies
                                                        2. Applications in Cybersecurity
                                                          1. Malware Analysis Explanations
                                                            1. Network Anomaly Explanations
                                                              1. User Behavior Explanations
                                                                1. Threat Intelligence Explanations

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                                                              6. Model Development and Deployment

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                                                              8. Ethical Considerations and Responsible AI