Gaussian mechanisms for Rényi Pufferfish Privacy under Gaussian and mixture priors deliver exact divergence derivations, closed-form sufficient conditions, and 48.9% less noise than additive baselines on statistical and model queries.
Fully homomorphic encryption using ideal lattices
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The paper introduces a symmetric FHE construction using plaintext fragmentation, dynamic interposition, exponent and coefficient regulators, and a binding mechanism to manage noise and protect the secret key.
A differentially private equilibrium-seeking algorithm for OTA MIMO-based energy sharing protects prosumers' private data while converging to near-optimal solutions with quantified accuracy loss.
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R\'enyi Pufferfish Privacy with Gaussian-based Priors: From Single Gaussian to Mixture Model
Gaussian mechanisms for Rényi Pufferfish Privacy under Gaussian and mixture priors deliver exact divergence derivations, closed-form sufficient conditions, and 48.9% less noise than additive baselines on statistical and model queries.
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Beyond Controlled Noise: Achieving Symmetric FHE through Dynamic Position Shifting
The paper introduces a symmetric FHE construction using plaintext fragmentation, dynamic interposition, exponent and coefficient regulators, and a binding mechanism to manage noise and protect the secret key.
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Mechanism and Communication Co-Design for Differentially Private Energy Sharing
A differentially private equilibrium-seeking algorithm for OTA MIMO-based energy sharing protects prosumers' private data while converging to near-optimal solutions with quantified accuracy loss.