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Filtrado por: Fecha de creacion 2023-06-08 Editor University of Cincinnati

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

Type:

Generic Work

Descripción/Resumen:

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)

Creador/Autor:

Gudaparthi, Hemanth and Niu, Nan

Peticionario:

Nan Niu

Fecha modificada:

06/08/2023

Fecha modificada:

06/26/2023

Fecha de creacion:

2023-06-08

Licencia:

Open Data Commons Open Database License (ODbL)