Prompting Creative Requirements via Traceable and Adversarial Examples in Deep Learning

File A: Datasets (.txt) A1: Webex A2: Zoom A3: Teams A4: Word A5: PowerPoint A6: Excel File B: Python Code (Both ours and baseline) B1: pert_class.ipynb B2: Baseline.ipynb File C: Trend of Adversarial Shifts (Graphs) C1: Webex Adversarial Shifts C2: Zoom Adversarial Shifts C3: Teams Adversarial Shifts C4: Word Adversarial Shifts C5: Powerpoint Adversarial Shifts C6: Excel Adversarial Shifts File D: Trend of Non-Adversarial Shifts (Graphs) D1: Webex Non-Adversarial Shifts D2: Zoom Non-Adversarial Shifts D3: Teams Non-Adversarial Shifts D4: Word Non-Adversarial Shifts D5: Powerpoint Non-Adversarial Shifts D6: Excel Non-Adversarial Shifts