2 papers
cs.LG2026
Adversarial Attacks on Downstream Weather Forecasting Models: Application to Tropical Cyclone Trajectory Prediction
Yue Deng, Francisco Santos, Pang-Ning Tan +1
Deep learning-based weather forecasting (DLWF) models leverage past weather observations to generate future forecasts, supporting a wide range of downstream applications, including…
cs.LG2026
FABLE: A Localized, Targeted Adversarial Attack on Weather Forecasting Models
Yue Deng, Asadullah Hill Galib, Xin Lan +3
Deep learning-based weather forecasting (DLWF) models have recently demonstrated significant performance gains over gold-standard physics-based simulation tools. However, these mod…