Ge Han, Zheng Li, Peng Tang, Chengyu Hu, Shanqing Guo. FuzzGAN: A Generation-Based Fuzzing Framework for Testing Deep Neural Networks. In 24th IEEE Int Conf on High Performance Computing & Communications; 8th Int Conf on Data Science & Systems; 20th Int Conf on Smart City; 8th Int Conf on Dependability in Sensor, Cloud & Big Data Systems & Application, HPCC/DSS/SmartCity/DependSys 2022, Hainan, China, December 18-20, 2022. pages 1601-1608, IEEE, 2022. [doi]
@inproceedings{HanLTHG22,
title = {FuzzGAN: A Generation-Based Fuzzing Framework for Testing Deep Neural Networks},
author = {Ge Han and Zheng Li and Peng Tang and Chengyu Hu and Shanqing Guo},
year = {2022},
doi = {10.1109/HPCC-DSS-SmartCity-DependSys57074.2022.00244},
url = {https://doi.org/10.1109/HPCC-DSS-SmartCity-DependSys57074.2022.00244},
researchr = {https://researchr.org/publication/HanLTHG22},
cites = {0},
citedby = {0},
pages = {1601-1608},
booktitle = {24th IEEE Int Conf on High Performance Computing & Communications; 8th Int Conf on Data Science & Systems; 20th Int Conf on Smart City; 8th Int Conf on Dependability in Sensor, Cloud & Big Data Systems & Application, HPCC/DSS/SmartCity/DependSys 2022, Hainan, China, December 18-20, 2022},
publisher = {IEEE},
isbn = {979-8-3503-1993-4},
}