Memory-Efficient Verification for Deep Convolutional Neural Networks using SparseImageStar

This repository contains the code and data associated with our submission to NeurIPS 2025: "Memory-Efficient Verification for Deep Convolutional Neural Networks using SparseImageStar".

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-05-16
DOI
https://doi.org/10.5281/zenodo.15428632
Primary Topic
Bayesian Modeling and Causal Inference
Type
article
Field-Weighted Citation Impact
0.00
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article

Memory-Efficient Verification for Deep Convolutional Neural Networks using SparseImageStar

Zenodo (CERN European Organization for Nuclear Research)
Bayesian Modeling and Causal Inference
article

Memory-Efficient Verification for Deep Convolutional Neural Networks using SparseImageStar

article en

Abstract

This repository contains the code and data associated with our submission to NeurIPS 2025: "Memory-Efficient Verification for Deep Convolutional Neural Networks using SparseImageStar".

Zenodo (CERN European Organization for Nuclear Research)
Industry, innovation and infrastructure
Openalex Percentile: Top 75%
Bayesian Modeling and Causal Inference
DOIOpen Access PDFOpenAlex
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Memory-Efficient Verification for Deep Convolutional Neural Networks using SparseImageStar · Zenodo (CERN European Organization for Nuclear Research) (2025) | TGRS Research Map | TGRS