@inproceedings{dae5d844524c4be49e88257befd97bb1,
title = "Prompting Creative Requirements via Traceable and Adversarial Examples in Deep Learning",
keywords = "adversarial examples, automated requirements generation, creative requirements, deep learning",
author = "Hemanth Gudaparthi and Nan Niu and Boyang Wang and Tanmay Bhowmik and Hui Liu and Jianzhang Zhang and Juha Savolainen and Glen Horton and Sean Crowe and Thomas Scherz and Lisa Haitz",
note = "Publisher Copyright: {\textcopyright} 2023 IEEE.; 31st IEEE International Requirements Engineering Conference, RE 2023 ; Conference date: 04-09-2023 Through 08-09-2023",
year = "2023",
doi = "10.1109/RE57278.2023.00022",
language = "English",
series = "Proceedings of the IEEE International Conference on Requirements Engineering",
pages = "134--145",
editor = "Kurt Schneider and Fabiano Dalpiaz and Jennifer Horkoff",
booktitle = "Proceedings - 31st IEEE International Requirements Engineering Conference, RE 2023",
}