fantamat / ruleexLinks
Algorithms of rule extraction from neural networks
☆35Updated 2 years ago
Alternatives and similar repositories for ruleex
Users that are interested in ruleex 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☆143Updated 2 years ago
- Interpreting and Improving Deep Learning-based Anomaly Detection in Security Applications (CCS'21)☆73Updated 3 years ago
- Anomaly Detection on Time-Evolving Streams in Real-time. Detecting intrusions (DoS and DDoS attacks), frauds, fake rating anomalies.☆121Updated last year
- Anomaly Detection in the Open World: Normality Shift Detection, Explanation, and Adaptation (NDSS'23).☆72Updated 6 months ago
- ☆55Updated 5 years ago
- Reinforcement Learning for Anomaly Detection☆45Updated 7 years ago
- An automatic packet crafting tool for evading learning-based NIDS☆83Updated 3 years ago
- Explaining Anomalies Detected by Autoencoders Using SHAP☆43Updated 4 years ago
- 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
- KitNET is a lightweight online anomaly detection algorithm, which uses an ensemble of autoencoders.☆245Updated last year
- ☆16Updated 5 years ago
- A collection of resources for concept drift data and software☆36Updated 10 years ago
- ☆145Updated 4 years ago
- Pytorch implementation of GEE: A Gradient-based Explainable Variational Autoencoder for Network Anomaly Detection☆28Updated 3 years ago
- Apply modern, deep learning techniques for anomaly detection to identify network intrusions.☆51Updated 10 months ago
- Repository for IEEE CCNC'21 paper titled "Edge-Detect: Edge-centric Network Intrusion Detection using Deep Neural Network".☆47Updated 2 years ago
- Attention Model for Network Intrusion Detection☆18Updated 6 years ago
- Using RL for anomaly detection in NSL-KDD☆122Updated 2 years ago
- [ICML 2019, 20 min long talk] Robust Decision Trees Against Adversarial Examples☆67Updated 3 months ago
- Source code for 'Lemna: Explaining deep learning based security applications'.☆24Updated 5 years ago
- FARE: Enabling Fine-grained Attack Categorization under Low-quality Labeled Data☆27Updated 3 years ago
- Topological botnet detection datasets and graph neural network applications☆174Updated 2 years ago
- [ICDM 2020] Meta-AAD: Active Anomaly Detection with Deep Reinforcement Learning☆54Updated 2 years ago
- Adversarial Attacks on Deep Neural Networks for Time Series Classification☆79Updated 5 years ago
- A backdoor attack by vulnerability amplification on online machine learning-based network intrusion detection system☆22Updated 4 years ago
- [CIKM 2022] Towards Automated Over-Sampling for Imbalanced Classification☆10Updated 2 years ago
- ☆15Updated 2 years ago
- Generative adversarial networks for Network Intrusion Benchmark datasets☆39Updated last year
- ☆17Updated 5 years ago
- Exploring techniques for estimating safety of machine learning classifiers☆78Updated 7 months ago