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Panel 1C-5: Privacy of Noisy… & Near-Optimal Private and…
Shyam Narayanan · Kunal Talwar
Author Information
Shyam Narayanan (Massachusetts Institute of Technology)
Kunal Talwar (Apple)
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2023 Poster: Differentially Private Approximate Near Neighbor Counting in High Dimensions »
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2023 Poster: $k$-Means Clustering with Distance-Based Privacy »
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2023 Poster: Fast Optimal Locally Private Mean Estimation via Random Projections »
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2022 Poster: Mean Estimation with User-level Privacy under Data Heterogeneity »
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2022 Poster: Near-Optimal Private and Scalable $k$-Clustering »
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2022 Poster: FLAIR: Federated Learning Annotated Image Repository »
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2022 Poster: Exponentially Improving the Complexity of Simulating the Weisfeiler-Lehman Test with Graph Neural Networks »
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2022 Poster: Subspace Recovery from Heterogeneous Data with Non-isotropic Noise »
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2022 Poster: Privacy of Noisy Stochastic Gradient Descent: More Iterations without More Privacy Loss »
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2020 Poster: Stability of Stochastic Gradient Descent on Nonsmooth Convex Losses »
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2020 Spotlight: Stability of Stochastic Gradient Descent on Nonsmooth Convex Losses »
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2020 Poster: Faster Differentially Private Samplers via Rényi Divergence Analysis of Discretized Langevin MCMC »
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2020 Poster: On the Error Resistance of Hinge-Loss Minimization »
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2019 : Private Stochastic Convex Optimization: Optimal Rates in Linear Time »
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2019 Poster: Private Stochastic Convex Optimization with Optimal Rates »
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