PracticalAdversarialAttacksonSpatiotemporal TrafficForecastingModels
–Neural Information Processing Systems
However, existing methods assume a reliable and unbiased forecasting environment, which isnot always available inthe wild. Inthis work, we investigate the vulnerability ofspatiotemporal trafficforecasting models andpropose apractical adversarial spatiotemporal attack framework.
Neural Information Processing Systems
Feb-9-2026, 23:42:52 GMT
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- Information Technology > Security & Privacy (0.33)
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