Where and when: Thursday, Dec 2 at 2-3pm in Google Meets (see the calendar invitation for the link)
Speaker: Mark Chen, supervised by Joerg Wicker and Gill Dobbie
Abstract: Time series forecasting is one of the main topics which involves time series data. It predicts the future values based on previously observed values of the time series. However, the robustness of time series forecasting model has been neglected for quite a long time. In addition, we also noticed the similarity between images and time series. This will help us as lots of adversarial attacks are carried out in the image domain. In short, we will explore various methodologies to generate adversarial examples for time series forecasting model.