Abstract
Neural network verification is a new and rapidly developing field of research. So far, the main priority has been establishing efficient verification algorithms and tools, while proper support from the programming language perspective has been considered secondary or unimportant. Yet, there is mounting evidence that insights from the programming language community may make a difference in the future development of this domain. In this paper, we formulate neural network verification challenges as programming language challenges and suggest possible future solutions.
Original language | English |
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Title of host publication | Programming Languages and Systems - 34th European Symposium on Programming, ESOP 2025, Held as Part of the International Joint Conferences on Theory and Practice of Software, ETAPS 2025, Proceedings |
Editors | Viktor Vafeiadis |
Publisher | Springer Science and Business Media Deutschland GmbH |
Pages | 206-235 |
Number of pages | 30 |
ISBN (Print) | 9783031911170 |
DOIs | |
State | Published - 2025 |
Event | 34th European Symposium on Programming, ESOP 2025, which was held as part of the International Joint Conferences on Theory and Practice of Software, ETAPS 2025 - Hamilton, Canada Duration: 3 May 2025 → 8 May 2025 |
Publication series
Name | Lecture Notes in Computer Science |
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Volume | 15694 LNCS |
ISSN (Print) | 0302-9743 |
ISSN (Electronic) | 1611-3349 |
Conference
Conference | 34th European Symposium on Programming, ESOP 2025, which was held as part of the International Joint Conferences on Theory and Practice of Software, ETAPS 2025 |
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Country/Territory | Canada |
City | Hamilton |
Period | 3/05/25 → 8/05/25 |
Bibliographical note
Publisher Copyright:© The Author(s) 2025.
Keywords
- Domain Specific Languages
- Neural Networks
- Verification