Did We Actually Fix It? An Independent Adversarial Stress-Test of Post-Point-Adjustment Evaluation Metrics for Time-Series Anomaly Detection
arXiv 2607.11969•0d9eb8e41b719853fae1a0858a8c9c3614c0342ed41c36d7dee5899ba4a630bc
adversarial-testinganomaly-evasionbenchmarkingevaluation-metricsmachine-learningmetric-selectionmonitoringopen-sourcepip-packageresearchrobust-evaluationtime-series-anomaly-detection
Paper metadata
- arXiv ID
- 2607.11969
- Version
- Not specified by this published record
- Category
- Statistics — Machine Learning (stat.ML)
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Evidence and limitations
- Source ID
- arxiv_stat_ml
- Record identifier
- 0d9eb8e41b719853fae1a0858a8c9c3614c0342ed41c36d7dee5899ba4a630bc
- Enrichment time
- 2026-07-15T07:23:54Z
- AI-assisted enrichment
- Yes
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