On Optimizing Back-Substitution Methods for Neural Network Verification

Zelazny, Tom; Wu, Haoze; Barrett, Clark; Katz, Guy

doi:10.34727/2022/isbn.978-3-85448-053-2_7

Record link:

http://hdl.handle.net/20.500.12708/81319
https://doi.org/10.34727/2022/isbn.978-3-85448-053-2_7

Title:

On Optimizing Back-Substitution Methods for Neural Network Verification

Citation:

Zelazny, T., Wu, H., Barrett, C., & Katz, G. (2022). On Optimizing Back-Substitution Methods for Neural Network Verification. In A. Griggio & N. Rungta (Eds.), Proceedings of the 22nd Conference on Formal Methods in Computer-Aided Design – FMCAD 2022 (pp. 17–26). TU Wien Academic Press. https://doi.org/10.34727/2022/isbn.978-3-85448-053-2_7

reposiTUm DOI:

10.34727/2022/isbn.978-3-85448-053-2_7

CatalogPlus:

AC17204693

Publication Type:

Inproceedings - Full-Paper Contribution

Language:

English

Authors:

Zelazny, Tom
Wu, Haoze
Barrett, Clark
Katz, Guy

Editors:

Griggio, Alberto
Rungta, Neha