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 3 years ago
• dongtsi / OWAD
  Anomaly Detection in the Open World: Normality Shift Detection, Explanation, and Adaptation (NDSS'23).
  ☆70Updated 4 months ago
• whyisyoung / CADE
  Code for our USENIX Security 2021 paper -- CADE: Detecting and Explaining Concept Drift Samples for Security Applications
  ☆140Updated 2 years ago
• cdogemaru / CPIP
  ☆15Updated 2 years ago
• junjieliang672 / FARE
  FARE: Enabling Fine-grained Attack Categorization under Low-quality Labeled Data
  ☆26Updated 3 years ago
• nitishabharathi / LEMNA
  Source code for 'Lemna: Explaining deep learning based security applications'.
  ☆24Updated 5 years ago
• ymirsky / KitNET-py
  KitNET is a lightweight online anomaly detection algorithm, which uses an ensemble of autoencoders.
  ☆241Updated last year
• cx0113 / fine-grained-unknown-attack-detection
  ☆19Updated 4 years ago
• pnnl / safekit
  ☆143Updated 4 years ago
• Anjin-Liu / TCYB2019-EIkMeansDriftDetection
  ☆13Updated 5 years ago
• dhivyaeswaran / sedanspot
  SedanSpot: Detecting Anomalies in Edge Streams
  ☆25Updated 6 years ago
• Stream-AD / MStream
  Anomaly Detection on Time-Evolving Streams in Real-time. Detecting intrusions (DoS and DDoS attacks), frauds, fake rating anomalies.
  ☆120Updated last year
• pfmarteau / DiFF-RF
  Forest of random partitioning trees for point-wise and collective anomaly detection
  ☆11Updated 9 months ago
• ogozuacik / concept-drift-datasets-scikit-multiflow
  concept drift datasets edited to work with scikit-multiflow directly
  ☆41Updated 6 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
• Ruoyu-Li / UAD-Rule-Extraction
  Rule Extraction from Unsupervised Anomaly Detection in Security
  ☆20Updated 3 months ago
• George730 / E-ResGAT
  The pytorch implementation of E-GraphSAGE and E-ResGAT, two solutions for intrusion detection.
  ☆69Updated 3 years ago
• dongtsi / TrafficManipulator
  An automatic packet crafting tool for evading learning-based NIDS
  ☆81Updated 3 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…
  ☆52Updated last year
• Akrusher / Fs-net
  FS-Net: A Flow Sequence Network For Encrypted Traffic Classification
  ☆44Updated 4 years ago
• lixiangwang / DAGMM-pytorch
  ☆74Updated 4 years ago
• waimorris / E-GraphSAGE
  A PyTorch implementation of of E-GraphSAGE.
  ☆89Updated 3 years ago
• Henrygwb / Explaining-DL
  ☆55Updated 5 years ago
• jasonyanglu / ACDWM
  ACDWM (Adaptive Chunk-based Dynamic Weighted Majority)
  ☆10Updated 5 years ago
• tegjyotsingh / ConceptDriftInduction
  Datasets for concept drift detection
  ☆28Updated 8 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
• 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
• yuan-shuhan / trustworthy-anomaly-detection-papers
  Papers on trustworthy anomaly detection
  ☆29Updated last year
• waimorris / Anomal-E
  A PyTorch implementation of of Anomal-E.
  ☆34Updated 2 years ago
• AshinWang / ConFlow
  Implementation of "ConFlow: Contrast Network Flow Improving Class-Imbalanced Learning in Network Intrusion Detection"
  ☆13Updated 3 years ago