<ul><li>A new paradigm called Private Individual Computation (PIC) is introduced in this paper.</li><li>The shuffle model of differential privacy is expanded to support a broader range of permutation-equivariant computations.</li><li>PIC enables personalized outputs while preserving privacy, utilizing privacy amplification through shuffling.</li><li>The proposed PIC protocol and the Minkowski randomizer demonstrate superior utility compared to existing solutions.</li></ul>

Beyond Statistical Estimation: Differentially Private Individual Computation via Shuffling

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