Elements of Information Theory (Wiley Series in Telecommunications and Signal Processing)
Elements of Information Theory (Wiley Series in Telecommunications and Signal Processing)
Mechanism Design via Differential Privacy
FOCS '07 Proceedings of the 48th Annual IEEE Symposium on Foundations of Computer Science
From t-Closeness-Like Privacy to Postrandomization via Information Theory
IEEE Transactions on Knowledge and Data Engineering
The Limits of Two-Party Differential Privacy
FOCS '10 Proceedings of the 2010 IEEE 51st Annual Symposium on Foundations of Computer Science
An information theoretic approach for privacy metrics
Transactions on Data Privacy
Information-Theoretic Bounds for Differentially Private Mechanisms
CSF '11 Proceedings of the 2011 IEEE 24th Computer Security Foundations Symposium
ICALP'06 Proceedings of the 33rd international conference on Automata, Languages and Programming - Volume Part II
Calibrating noise to sensitivity in private data analysis
TCC'06 Proceedings of the Third conference on Theory of Cryptography
IEEE Transactions on Information Theory
Differentially-private learning and information theory
Proceedings of the 2012 Joint EDBT/ICDT Workshops
Differential privacy: on the trade-off between utility and information leakage
FAST'11 Proceedings of the 8th international conference on Formal Aspects of Security and Trust
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We examine the information-theoretic foundations of the increasingly popular notion of differential privacy. We establish a connection between differential private mechanisms and the rate-distortion framework. Additionally, we also show how differentially private distributions arise out of the application of the Maximum Entropy Principle. This helps us locate differential privacy within the wider framework of information-theory and helps formalize some intuitive aspects of our understanding of differential privacy.