Alibi Detect
Getting Started
Algorithm Overview
Saving and Loading
Detector Configuration Files
Roadmap
Outlier Detection
- Methods
  Mahalanobis Distance
  Isolation Forest
  Variational Auto-Encoder
  Auto-Encoder
  Variational Auto-Encoding Gaussian Mixture Model
  Auto-Encoding Gaussian Mixture Model
  Likelihood Ratios for Outlier Detection
  Prophet Detector
  Spectral Residual
  Sequence-to-Sequence (Seq2Seq)
- Examples
  AE outlier detection on CIFAR10
  AEGMM and VAEGMM outlier detection on KDD Cup ‘99 dataset
  Isolation Forest outlier detection on KDD Cup ‘99 dataset
  Likelihood Ratio Outlier Detection on Genomic Sequences
  Likelihood Ratio Outlier Detection with PixelCNN++
  Mahalanobis outlier detection on KDD Cup ‘99 dataset
  Time-series outlier detection using Prophet on weather data
  Seq2Seq time series outlier detection on ECG data
  Time series outlier detection with Seq2Seq models on synthetic data
  Time series outlier detection with Spectral Residuals on synthetic data
  VAE outlier detection for income prediction
  VAE outlier detection on CIFAR10
  VAE outlier detection on KDD Cup ‘99 dataset
Drift Detection
- Methods
  Offline
  Chi-Squared
  Kolmogorov-Smirnov
  Cramér-von Mises
  Fisher’s Exact Test
  Maximum Mean Discrepancy
  Least-Squares Density Difference
  Learned Kernel
  Classifier
  Spot-the-diff
  Model Uncertainty
  Mixed-type tabular data
  Context-Aware Maximum Mean Discrepancy
  Online
  Online Maximum Mean Discrepancy
  Online Least-Squares Density Difference
  Online Cramér-von Mises
  Online Fisher’s Exact Test
- Examples
  Categorical and mixed type data drift detection on income prediction
  Learned drift detectors on Adult Census
  Learned drift detectors on CIFAR-10
  Context-aware drift detection on news articles
  Context-aware drift detection on ECGs
  Model Distillation drift detector on CIFAR-10
  Kolmogorov-Smirnov data drift detector on CIFAR-10
  Maximum Mean Discrepancy drift detector on CIFAR-10
  Scaling up drift detection with KeOps
  Model uncertainty based drift detection on CIFAR-10 and Wine-Quality datasets
  Drift detection on molecular graphs
  Online drift detection for Camelyon17 medical imaging dataset
  Online Drift Detection on the Wine Quality Dataset
  Interpretable drift detection with the spot-the-diff detector on MNIST and Wine-Quality datasets
  Supervised drift detection on the penguins dataset
  Drift detection on Amazon reviews
  Text drift detection on IMDB movie reviews
Adversarial Detection
- Methods
  Adversarial Auto-Encoder
  Model Distillation
- Examples
  Adversarial AE detection and correction on CIFAR-10
Deployment
Datasets
Models
Bibliography

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Examples

Adversarial AE detection and correction on CIFAR-10

PreviousModel Distillation NextAdversarial AE detection and correction on CIFAR-10

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