Copycat CNN: Are random non-Labeled data enough to steal knowledge from black-box models?

Research article (Pattern Recognition, 2021) · cited 17× · AI/ML
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Copycat CNN: Are random non-Labeled data enough to steal knowledge from black-box models?

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Copycat CNN: Are random non-Labeled data enough to steal knowledge from black-box models? is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). Copycat CNN: Are random non-Labeled data enough to steal knowledge from black-box models?. Retrieved May 24, 2026, from https://4ort.xyz/entity/copycat-cnn-are-random-non-labeled-data-enough-to-steal-knowledge-from-black-box-models
MLA “Copycat CNN: Are random non-Labeled data enough to steal knowledge from black-box models?.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/copycat-cnn-are-random-non-labeled-data-enough-to-steal-knowledge-from-black-box-models.
BibTeX @misc{4ortxyz_copycat-cnn-are-random-non-labeled-data-enough-to-steal-knowledge-from-black-box-models_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Copycat CNN: Are random non-Labeled data enough to steal knowledge from black-box models?}}, year = {2026}, url = {https://4ort.xyz/entity/copycat-cnn-are-random-non-labeled-data-enough-to-steal-knowledge-from-black-box-models}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Copycat CNN: Are random non-Labeled data enough to steal knowledge from black-box models? — https://4ort.xyz/entity/copycat-cnn-are-random-non-labeled-data-enough-to-steal-knowledge-from-black-box-models (retrieved 2026-05-24)

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