Validating the integrity of Convolutional Neural Network predictions based on zero-knowledge proof

Research article (Information Sciences, 2023) · cited 29× · AI/ML
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Validating the integrity of Convolutional Neural Network predictions based on zero-knowledge proof

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Validating the integrity of Convolutional Neural Network predictions based on zero-knowledge proof is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). Validating the integrity of Convolutional Neural Network predictions based on zero-knowledge proof. Retrieved May 24, 2026, from https://4ort.xyz/entity/validating-the-integrity-of-convolutional-neural-network-predictions-based-on-zero-knowledge-proof
MLA “Validating the integrity of Convolutional Neural Network predictions based on zero-knowledge proof.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/validating-the-integrity-of-convolutional-neural-network-predictions-based-on-zero-knowledge-proof.
BibTeX @misc{4ortxyz_validating-the-integrity-of-convolutional-neural-network-predictions-based-on-zero-knowledge-proof_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Validating the integrity of Convolutional Neural Network predictions based on zero-knowledge proof}}, year = {2026}, url = {https://4ort.xyz/entity/validating-the-integrity-of-convolutional-neural-network-predictions-based-on-zero-knowledge-proof}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Validating the integrity of Convolutional Neural Network predictions based on zero-knowledge proof — https://4ort.xyz/entity/validating-the-integrity-of-convolutional-neural-network-predictions-based-on-zero-knowledge-proof (retrieved 2026-05-24)

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