Neural Network Verification is a Programming Language Challenge.

Lucas C. Cordeiro, Matthew L. Daggitt, Julien Girard-Satabin, Omri Isac, Taylor T. Johnson, Guy Katz, Ekaterina Komendantskaya, Augustin Lemesle, Edoardo Manino, Artjoms Sinkarovs, Haoze Wu

Research output: Working paperPreprint

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 languageEnglish
Pages1-29
Number of pages29
Volumeabs/2501.05867
DOIs
Publication statusPublished - 2025

Publication series

NameCoRR

Fingerprint

Dive into the research topics of 'Neural Network Verification is a Programming Language Challenge.'. Together they form a unique fingerprint.

Cite this