Jiaqi Wu
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126
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ML×1Crypto×1Stats Theory×1
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2026
Differentially Private Manifold Denoising
The paper introduces a differentially private manifold denoising framework that allows noisy, non-private query points to be corrected using sensitive reference data while providing formal $(\varepsilon, \delta)$-differential privacy guarantees.
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