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cs.LG2026
Fortifying Time Series: DTW-Certified Robust Anomaly Detection
Shijie Liu, Tansu Alpcan, Christopher Leckie +1
Time-series anomaly detection is critical for ensuring safety in high-stakes applications, where robustness is a fundamental requirement rather than a mere performance metric. Addr…
cs.LG2024★ 1 cited
OIL-AD: An Anomaly Detection Framework for Sequential Decision Sequences
Chen Wang, Sarah Erfani, Tansu Alpcan +1
Anomaly detection in decision-making sequences is a challenging problem due to the complexity of normality representation learning and the sequential nature of the task. Most exist…