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Learning from Mutants: Using Code Mutation to Learn and Monitor Invariants of a Cyber-Physical System

Learning from Mutants: Using Code Mutation to Learn and Monitor Invariants of a Cyber-Physical System

Yuqi Chen
Christopher M. Poskitt
Jun Sun
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Papers citing "Learning from Mutants: Using Code Mutation to Learn and Monitor Invariants of a Cyber-Physical System"

4 / 4 papers shown
Title
A Survey of Anomaly Detection in Cyber-Physical Systems
A Survey of Anomaly Detection in Cyber-Physical Systems
Danial Abshari
Meera Sridhar
77
3
0
18 Feb 2025
ConAML: Constrained Adversarial Machine Learning for Cyber-Physical Systems
ConAML: Constrained Adversarial Machine Learning for Cyber-Physical Systems
Jiangnan Li
Yingyuan Yang
Jinyuan Stella Sun
K. Tomsovic
Jin Young Lee
AAML
81
54
0
12 Mar 2020
Anomaly Detection for a Water Treatment System Using Unsupervised Machine Learning
Anomaly Detection for a Water Treatment System Using Unsupervised Machine Learning
Jun Inoue
Yoriyuki Yamagata
Yuqi Chen
Christopher M. Poskitt
Jun Sun
58
254
0
15 Sep 2017
Towards Learning and Verifying Invariants of Cyber-Physical Systems by Code Mutation
Towards Learning and Verifying Invariants of Cyber-Physical Systems by Code Mutation
Yuqi Chen
Christopher M. Poskitt
Jun Sun
38
24
0
06 Sep 2016