Time series classification models have been garnering significant importance in the research community. However, not much has done on generating adversarial samples for these models. These can become a security concern. In this paper, we propose utilizing an transformation network (ATN) distilled model to attack various time The proposed utilizes as surrogate that mimics behavior of attacked cl...