Elkoumy / amunLinks
Amun is a framework that achieves privacy-preserving process mining using differential privacy.
☆12Updated 2 years ago
Alternatives and similar repositories for amun
Users that are interested in amun are comparing it to the libraries listed below
Sorting:
- PROVED (PRocess mining OVer uncErtain Data) is a library of functionalities to perform process mining on uncertain event data.☆12Updated 2 years ago
- Learning Accurate Generative Models of Business Processes With LSTM Neural Networks☆30Updated 2 weeks ago
- Automatic process simulation using Simpy and Pm4py.☆19Updated 4 years ago
- https://arxiv.org/abs/2009.01561☆23Updated 2 years ago
- Python Implementation for Mondrian Multidimensional K-Anonymity (Mondrian).☆174Updated last year
- Python Implementation of Decay Replay Mining (DREAM)☆27Updated 2 years ago
- This is the complementary code repository for the BINet papers.☆27Updated 4 years ago
- Anonymization methods for network security.☆160Updated 7 months ago
- ☆40Updated 2 years ago
- A Deep Learning model for business process predictions. Preprint on arXiv: https://arxiv.org/abs/2102.07838☆11Updated 4 years ago
- Federated gradient boosted decision tree learning☆68Updated 2 years ago
- SDN based system to translate MUD profile to flow rules using Faucet as a controller☆10Updated 6 years ago
- A toolbox for differentially private data generation☆131Updated 2 years ago
- A library providing general-purpose tools for estimating discrete distributions from noisy observations of their marginals.☆106Updated last month
- Leveraging A-priori Knowledge in Predictive Business Process Monitoring☆10Updated 7 years ago
- A software package for privacy-preserving generation of a synthetic twin to a given sensitive data set.☆56Updated last year
- A dashboard-based predictive monitoring engine☆10Updated 7 years ago
- ☆271Updated last year
- Core streaming heterogeneous graph clustering and anomaly detection code (KDD 2016)☆41Updated 5 years ago
- Code for our USENIX Security 2021 paper -- CADE: Detecting and Explaining Concept Drift Samples for Security Applications☆143Updated 2 years ago
- ☆36Updated 2 years ago
- Detection of IoT devices infected by malwares from their network communications, using federated machine learning☆41Updated last year
- Anomaly Detection on Time-Evolving Streams in Real-time. Detecting intrusions (DoS and DDoS attacks), frauds, fake rating anomalies.☆121Updated last year
- Explaining Anomalies Detected by Autoencoders Using SHAP☆43Updated 4 years ago
- Easy differential privacy in R☆69Updated 3 years ago
- pyCANON is a Python library and CLI to assess the values of the parameters associated with the most common privacy-preserving techniques.☆43Updated 2 weeks ago
- SAP Security research sample code and tutorials for generating differentially private synthetic datasets using generative deep learning m…☆24Updated last year
- Privacy Preserving Collaborative Encrypted Network Traffic Classification (Differential Privacy, Federated Learning, Membership Inference…☆127Updated 2 years ago
- A Business Processes and Logs Generator☆34Updated last year
- Repository for the AdaptiveRandomForest algorithm implemented in MOA 2016-04☆41Updated 8 years ago