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ICS anomaly detection test suite. From the ESORICS 2022 paper: "Perspectives from a Comprehensive Evaluation of Reconstruction-based Anomaly Detection in Industrial Control Systems""
Library of ML-based attribution methods for ICS anomaly detection. From the NDSS 2024 paper: "Attributions for ML-based ICS anomaly detection: From theory to practice"
ICS attack simulator for the Tennessee Eastman Process. From the NDSS 2024 paper: "Attributions for ML-based ICS anomaly detection: From theory to practice"
Tools for parsing data/models related to WWW 2021 paper: Towards a Lightweight, Hybrid Approach for Detecting DOM XSS Vulnerabilities with Machine Learning