Prompting Creative Requirements via Traceable and Adversarial Examples in Deep Learning

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