The Threat of Adversarial Attacks Against Machine Learning-based Anomaly Detection Approach in a Clean Water Treatment System
Author:
Affiliation:
1. School of Computing, Engineering and the Built Environment, Edinburgh Napier University,Edinburgh,UK
Funder
Edinburgh Napier University
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10256660/10257181/10257245.pdf?arnumber=10257245
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1. Analysis of Label-Flip Poisoning Attack on Machine Learning Based Malware Detector;aryal;ArXiv Preprint,2023
2. Machine Learning for Reliable Network Attack Detection in SCADA Systems
3. Evaluating Resilience of Grid Load Predictions under Stealthy Adversarial Attacks
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