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Categorical Inference Poisoning: Verifiable Defense Against Black-Box DNN Model Stealing Without Constraining Surrogate Data and Query Times
Research article (IEEE Transactions on Information Forensics and Security, 2023) · cited 10× · AI/ML
Categorical Inference Poisoning: Verifiable Defense Against Black-Box DNN Model Stealing Without Constraining Surrogate Data and Query Times
Summary
Categorical Inference Poisoning: Verifiable Defense Against Black-Box DNN Model Stealing Without Constraining Surrogate Data and Query Times is a scholarly article[1].
Key Facts
Categorical Inference Poisoning: Verifiable Defense Against Black-Box DNN Model Stealing Without Constraining Surrogate Data and Query Times's instance of is recorded as scholarly article[2].
References
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APA4ort.xyz Knowledge Graph. (2026). Categorical Inference Poisoning: Verifiable Defense Against Black-Box DNN Model Stealing Without Constraining Surrogate Data and Query Times. Retrieved May 24, 2026, from https://4ort.xyz/entity/categorical-inference-poisoning-verifiable-defense-against-black-box-dnn-model-stealing-without-constraining-surrogate-d
MLA“Categorical Inference Poisoning: Verifiable Defense Against Black-Box DNN Model Stealing Without Constraining Surrogate Data and Query Times.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/categorical-inference-poisoning-verifiable-defense-against-black-box-dnn-model-stealing-without-constraining-surrogate-d.
BibTeX@misc{4ortxyz_categorical-inference-poisoning-verifiable-defense-against-black-box-dnn-model-stealing-without-constraining-surrogate-d_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Categorical Inference Poisoning: Verifiable Defense Against Black-Box DNN Model Stealing Without Constraining Surrogate Data and Query Times}}, year = {2026}, url = {https://4ort.xyz/entity/categorical-inference-poisoning-verifiable-defense-against-black-box-dnn-model-stealing-without-constraining-surrogate-d}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Categorical Inference Poisoning: Verifiable Defense Against Black-Box DNN Model Stealing Without Constraining Surrogate Data and Query Times — https://4ort.xyz/entity/categorical-inference-poisoning-verifiable-defense-against-black-box-dnn-model-stealing-without-constraining-surrogate-d (retrieved 2026-05-24)
