No. | Title | Author | Year |
---|---|---|---|
1 | How to Make Your Approximation Algorithm Private: A Black-Box Differentially-Private Transformation for Tunable Approximation Algorithms of Functions with Low Sensitivity | Blocki, Jeremiah et al. | 2023 |
2 | Privately Estimating Graph Parameters in Sublinear Time | Blocki, Jeremiah et al. | 2022 |
3 | P₄-free Partition and Cover Numbers & Applications | Block, Alexander R. et al. | 2021 |
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