[NeurIPS 2024] Official implementation of the paper “Ferrari: Federated Feature Unlearning via Optimizing Feature Sensitivity"
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Mar 12, 2025 - Python
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feature-sensitivity
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Contact: Alexander Hartl, Maximilian Bachl, Fares Meghdouri. Explainability methods and Adversarial Robustness metrics for RNNs for Intrusion Detection Systems. Also contains code for "SparseIDS: Learning Packet Sampling with Reinforcement Learning" (branch "rl").
rnn adversarial-machine-learning feature-importance rnn-lstm explainability adversarial-robustness feature-sensitivity
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Mar 16, 2021 - TeX
Toolbox for analysis of model's quality and model's description. For further details see
quality data-science quality-control ai ml data-analysis model-checking predictive-analysis sensitivity predictive-modeling sensitivity-analysis evaluation-metrics prediction-model feature-importance explainable-ai explainable-ml explainability prediction-uncertainty feature-sensitivity lime-explanation
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May 6, 2024 - Python
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