ninghaohello / Contextual-Outlier-InterpreterLinks
☆16Updated 5 years ago
Alternatives and similar repositories for Contextual-Outlier-Interpreter
Users that are interested in Contextual-Outlier-Interpreter are comparing it to the libraries listed below
Sorting:
- Code for our USENIX Security 2021 paper -- CADE: Detecting and Explaining Concept Drift Samples for Security Applications☆138Updated 2 years ago
- Anomaly Detection in the Open World: Normality Shift Detection, Explanation, and Adaptation (NDSS'23).☆68Updated 2 months ago
- ☆16Updated 2 years ago
- Source code for 'Lemna: Explaining deep learning based security applications'.☆23Updated 5 years ago
- ☆13Updated 4 years ago
- Interpreting and Improving Deep Learning-based Anomaly Detection in Security Applications (CCS'21)☆72Updated 3 years ago
- Source code for the paper: Adaptive Clustering-based Malicious Traffic Classification at the Network Edge (https://homepages.inf.ed.ac.uk…☆34Updated 4 years ago
- Forest of random partitioning trees for point-wise and collective anomaly detection☆11Updated 7 months ago
- FARE: Enabling Fine-grained Attack Categorization under Low-quality Labeled Data☆25Updated 3 years ago
- ☆143Updated 4 years ago
- Code for the paper: "Supervised contrastive learning over prototype-label embeddings for network intrusion detection"☆14Updated 3 years ago
- SedanSpot: Detecting Anomalies in Edge Streams☆25Updated 6 years ago
- Rule Extraction from Unsupervised Anomaly Detection in Security☆19Updated last month
- ☆18Updated 4 years ago
- ☆27Updated last year
- Adversarial learning by utilizing model interpretation☆10Updated 6 years ago
- Replication files for arXiv:1803.10769 Network Traffic Anomaly Detection Using Recurrent Neural Networks☆22Updated 6 years ago
- ☆55Updated 5 years ago
- ☆48Updated 3 years ago
- Outlier Detection for Time Series with Recurrent Autoencoder Ensembles☆72Updated 6 years ago
- An automatic packet crafting tool for evading learning-based NIDS☆80Updated 3 years ago
- This implementation for the paper: Learning Neural Representations for Network Anomaly Detection. If you have questions, please do not he…☆19Updated 5 years ago
- Implementation of "ConFlow: Contrast Network Flow Improving Class-Imbalanced Learning in Network Intrusion Detection"☆13Updated 3 years ago
- A Few-shot Based Model-Agnostic Meta-Learning for Intrusion Detection in Security of Internet of Things☆13Updated 3 months ago
- AnomalyDAE (ICASSP2020)☆51Updated 5 years ago
- A GAN-based model focused on anomaly detection in discrete dataset☆26Updated 5 years ago
- Network Intrusion Detection System(Abnormal Detection)☆11Updated 4 years ago
- ☆50Updated 10 months ago
- Hybrid Isolation Forest☆24Updated 6 years ago
- KitNET is a lightweight online anomaly detection algorithm, which uses an ensemble of autoencoders.☆239Updated last year