Generative Adversarial Privacy: A Data-Driven Approach to Information-Theoretic Privacy

Research article (2018 52nd Asilomar Conference on Signals, Systems, and Computers, 2018) · cited 22× · AI/ML
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Generative Adversarial Privacy: A Data-Driven Approach to Information-Theoretic Privacy

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Generative Adversarial Privacy: A Data-Driven Approach to Information-Theoretic Privacy is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). Generative Adversarial Privacy: A Data-Driven Approach to Information-Theoretic Privacy. Retrieved May 24, 2026, from https://4ort.xyz/entity/generative-adversarial-privacy-a-data-driven-approach-to-information-theoretic-privacy
MLA “Generative Adversarial Privacy: A Data-Driven Approach to Information-Theoretic Privacy.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/generative-adversarial-privacy-a-data-driven-approach-to-information-theoretic-privacy.
BibTeX @misc{4ortxyz_generative-adversarial-privacy-a-data-driven-approach-to-information-theoretic-privacy_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Generative Adversarial Privacy: A Data-Driven Approach to Information-Theoretic Privacy}}, year = {2026}, url = {https://4ort.xyz/entity/generative-adversarial-privacy-a-data-driven-approach-to-information-theoretic-privacy}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Generative Adversarial Privacy: A Data-Driven Approach to Information-Theoretic Privacy — https://4ort.xyz/entity/generative-adversarial-privacy-a-data-driven-approach-to-information-theoretic-privacy (retrieved 2026-05-24)

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