Alternatives and similar repositories for Contextual-Outlier-Interpreter

Users that are interested in Contextual-Outlier-Interpreter are comparing it to the libraries listed below

• dongtsi / DeepAID
  Interpreting and Improving Deep Learning-based Anomaly Detection in Security Applications (CCS'21)
  ☆73Updated 4 years ago
• dongtsi / OWAD
  Anomaly Detection in the Open World: Normality Shift Detection, Explanation, and Adaptation (NDSS'23).
  ☆73Updated 8 months ago
• whyisyoung / CADE
  Code for our USENIX Security 2021 paper -- CADE: Detecting and Explaining Concept Drift Samples for Security Applications
  ☆145Updated 2 years ago
• pnnl / safekit
  ☆147Updated 5 years ago
• ymirsky / KitNET-py
  KitNET is a lightweight online anomaly detection algorithm, which uses an ensemble of autoencoders.
  ☆248Updated last year
• nitishabharathi / LEMNA
  Source code for 'Lemna: Explaining deep learning based security applications'.
  ☆24Updated 5 years ago
• Anjin-Liu / TCYB2019-EIkMeansDriftDetection
  ☆14Updated 5 years ago
• cx0113 / fine-grained-unknown-attack-detection
  ☆21Updated 5 years ago
• Mobile-Intelligence-Lab / ACID
  Source code for the paper: Adaptive Clustering-based Malicious Traffic Classification at the Network Edge (https://homepages.inf.ed.ac.uk…
  ☆37Updated 4 years ago
• junjieliang672 / FARE
  FARE: Enabling Fine-grained Attack Categorization under Low-quality Labeled Data
  ☆29Updated 3 years ago
• jasonyanglu / ACDWM
  ACDWM (Adaptive Chunk-based Dynamic Weighted Majority)
  ☆10Updated 6 years ago
• Ruoyu-Li / UAD-Rule-Extraction
  Rule Extraction from Unsupervised Anomaly Detection in Security
  ☆21Updated 8 months ago
• cdogemaru / CPIP
  ☆15Updated 2 years ago
• dhivyaeswaran / sedanspot
  SedanSpot: Detecting Anomalies in Edge Streams
  ☆25Updated 7 years ago
• Western-OC2-Lab / OASW-Concept-Drift-Detection-and-Adaptation
  An online learning method used to address concept drift and model drift. Code for the paper entitled "A Lightweight Concept Drift Detecti…
  ☆54Updated last year
• ogozuacik / concept-drift-datasets-scikit-multiflow
  concept drift datasets edited to work with scikit-multiflow directly
  ☆41Updated 6 years ago
• pfmarteau / DiFF-RF
  Forest of random partitioning trees for point-wise and collective anomaly detection
  ☆12Updated last year
• Henrygwb / Explaining-DL
  ☆55Updated 6 years ago
• dongtsi / TrafficManipulator
  An automatic packet crafting tool for evading learning-based NIDS
  ☆84Updated 3 years ago
• Forcrush / Efficient-GAN-based-method-for-cyber-intrusion
  A GAN-based model focused on anomaly detection in discrete dataset
  ☆26Updated 5 years ago
• bit-ml / AnoShift
  ☆56Updated last year
• George730 / E-ResGAT
  The pytorch implementation of E-GraphSAGE and E-ResGAT, two solutions for intrusion detection.
  ☆75Updated 4 years ago
• vanloicao / SAEDVAE
  This implementation for the paper: Learning Neural Representations for Network Anomaly Detection. If you have questions, please do not he…
  ☆18Updated 6 years ago
• mlopezm / Supervised-contrastive-learning-over-prototype-label-embeddings
  Code for the paper: "Supervised contrastive learning over prototype-label embeddings for network intrusion detection"
  ☆15Updated 4 years ago
• pwwl / ics-anomaly-attribution
  Library of ML-based attribution methods for ICS anomaly detection. From the NDSS 2024 paper: "Attributions for ML-based ICS anomaly detec…
  ☆20Updated 2 years ago
• lixiangwang / DAGMM-pytorch
  ☆74Updated 4 years ago
• waimorris / E-GraphSAGE
  A PyTorch implementation of of E-GraphSAGE.
  ☆98Updated 3 years ago
• munhouiani / GEE
  Pytorch implementation of GEE: A Gradient-based Explainable Variational Autoencoder for Network Anomaly Detection
  ☆29Updated 3 years ago
• tungk / OED
  Outlier Detection for Time Series with Recurrent Autoencoder Ensembles
  ☆75Updated 6 years ago
• yuan-shuhan / trustworthy-anomaly-detection-papers
  Papers on trustworthy anomaly detection
  ☆29Updated last year