AINeutralarXiv – CS AI · 15h ago6/10
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TSFMAudit: Data Contamination Auditing in Forecasting Time Series Foundation Models
Researchers introduce TSFMAudit, the first systematic method for detecting data contamination in time series foundation models (TSFMs) pretrained on large datasets. The approach identifies contamination by analyzing how quickly models adapt to evaluation data, with contaminated datasets showing unusually efficient loss reduction and minimal backbone movement during fine-tuning.