2022
Practical Adversarial Attacks on Spatiotemporal Traffic Forecasting Models
NeurIPS 2022accept
Machine learning based traffic forecasting models leverage sophisticated spatiotemporal auto-correlations to provide accurate predictions of city-wide traffic states. However, existing methods assume a reliable and unbiased forecasting environment, which is not always available in the wild. In this…