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Achieving Probabilistic Anonymity in a Linear and Hybrid Randomization Model

Research article (IEEE Transactions on Information Forensics and Security, 2016) · cited 10× · AI/ML
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Achieving Probabilistic Anonymity in a Linear and Hybrid Randomization Model

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Achieving Probabilistic Anonymity in a Linear and Hybrid Randomization Model is a scholarly article[1].

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  • Achieving Probabilistic Anonymity in a Linear and Hybrid Randomization Model's instance of is recorded as scholarly article[2].

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Direct Wikidata claims

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  1. [1] ↑ . Wikidata. wikidata.org.

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APA 4ort.xyz Knowledge Graph. (2026). Achieving Probabilistic Anonymity in a Linear and Hybrid Randomization Model. Retrieved May 24, 2026, from https://4ort.xyz/entity/achieving-probabilistic-anonymity-in-a-linear-and-hybrid-randomization-model
MLA “Achieving Probabilistic Anonymity in a Linear and Hybrid Randomization Model.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/achieving-probabilistic-anonymity-in-a-linear-and-hybrid-randomization-model.
BibTeX @misc{4ortxyz_achieving-probabilistic-anonymity-in-a-linear-and-hybrid-randomization-model_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Achieving Probabilistic Anonymity in a Linear and Hybrid Randomization Model}}, year = {2026}, url = {https://4ort.xyz/entity/achieving-probabilistic-anonymity-in-a-linear-and-hybrid-randomization-model}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Achieving Probabilistic Anonymity in a Linear and Hybrid Randomization Model — https://4ort.xyz/entity/achieving-probabilistic-anonymity-in-a-linear-and-hybrid-randomization-model (retrieved 2026-05-24)

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