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Filtering by: College Engineering and Applied Science Subject Generative Machine Learning

Artifacts of Prompting Creative Requirements via Traceable and Adversarial Examples in Deep Learning

Type:

Generic Work

Description/Abstract:

Artifacts of the paper entitled: Prompting Creative Requirements via Traceable and Adversarial Examples in Deep Learning Authors: Hemanth Gudaparthi, Nan Niu, Boyang Wang, Tanmay Bhowmik, Hui Liu, Jianzhang Zhang, Juha Savolainen, Glen Horton, Sean Crowe, Thomas Scherz and Lisa Haitz To appear in the Proceedings of the 31st IEEE International Requirements Engineering Conference (RE 2023 https://conf.researchr.org/home/RE-2023)

Creator/Author:

Gudaparthi, Hemanth and Niu, Nan

Submitter:

Nan Niu

Date Uploaded:

06/08/2023

Date Modified:

06/26/2023

Date Created:

2023-06-08

License:

Open Data Commons Open Database License (ODbL)