Browsing QMIC Research by Subject "Adaptation models"
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Consistent Valid Physically-Realizable Adversarial Attack Against Crowd-Flow Prediction Models
( IEEE , 2024 , Article)Recent works have shown that deep learning (DL) models can effectively learn city-wide crowd-flow patterns, which can be used for more effective urban planning and smart city management. However, DL models have been known ...
