AI RESEARCH
Adversarial-Robust Multivariate Time-Series Anomaly Detection via Joint Information Retention
arXiv CS.LG
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ArXi:2603.25956v1 Announce Type: new Time-series anomaly detection (TSAD) is a critical component in monitoring complex systems, yet modern deep learning-based detectors are often highly sensitive to localized input corruptions and structured noise. We propose ARTA (Adversarially Robust multivariate Time-series Anomaly detection via joint information retention), a joint