Notwithstanding astonishing advances in computer vision technologies, detecting ships and floating matters in these images is challenging due to factors such as object distance.

Consequently, recent research efforts have focused on developing pre-trained TS forecasting models.

Membership inference arises in these contexts as a potential auditing method for detecting unauthorized data usage.

We consider the problem of generating periodic materials with deep models.