TensorJSFuzz: Effective Testing of Web-Based Deep Learning Frameworks via Input-Constraint Extraction.

Lili Quan|Xiaofei Xie|Qianyu Guo|Lingxiao Jiang|Sen Chen|Junjie Wang|Xiaohong Li


Anthology ID:DBLP:conf/www/QuanXGJ00025
Volume:Proceedings of the ACM on Web Conference 2025, WWW 2025, Sydney, NSW, Australia, 28 April 2025- 2 May 2025
Year:2025
Venue:The Web Conference (WWW)
Publisher:ACM
Pages:3405-3414
URL:https://doi.org/10.1145/3696410.3714649
DOI:https://doi.org/10.1145/3696410.3714649
DBLP:conf/www/QuanXGJ00025
BibTeX:
@inproceedings{quan-2025-tensorjsfuzz, author = {Lili Quan and Xiaofei Xie and Qianyu Guo and Lingxiao Jiang and Sen Chen and Junjie Wang and Xiaohong Li}, editor = {Guodong Long and Michale Blumestein and Yi Chang and Liane Lewin-Eytan and Zi Huang and Elad Yom-Tov}, title = {{TensorJSFuzz: Effective Testing of Web-Based Deep Learning Frameworks via Input-Constraint Extraction}}, booktitle = {{Proceedings of the ACM on Web Conference 2025, WWW 2025, Sydney, NSW, Australia, 28 April 2025- 2 May 2025}}, pages = {3405--3414}, publisher = {ACM}, year = {2025}, url = {https://doi.org/10.1145/3696410.3714649}, doi = {https://doi.org/10.1145/3696410.3714649} }