2021 IEEE 8th International Conference on Data Science and Advanced Analytics (DSAA) 2021
DOI: 10.1109/dsaa53316.2021.9564161
|View full text |Cite
|
Sign up to set email alerts
|

A Sequential Framework Towards an Exact SDP Verification of Neural Networks

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1

Citation Types

0
1
0

Year Published

2022
2022
2023
2023

Publication Types

Select...
2

Relationship

0
2

Authors

Journals

citations
Cited by 2 publications
(1 citation statement)
references
References 5 publications
0
1
0
Order By: Relevance
“…There are a number of techniques that provide robustness certifications to existing neural networks [5,6,41]. Among these methods, "randomized smoothing" seeks to achieve certified robustness at test time [19,38,49].…”
Section: A Parallel Line Of Work Focuses On Certified Robustnessmentioning
confidence: 99%
“…There are a number of techniques that provide robustness certifications to existing neural networks [5,6,41]. Among these methods, "randomized smoothing" seeks to achieve certified robustness at test time [19,38,49].…”
Section: A Parallel Line Of Work Focuses On Certified Robustnessmentioning
confidence: 99%