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Poster
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Tue 18:30
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Communication Complexity in Locally Private Distribution Estimation and Heavy Hitters
Jayadev Acharya · Ziteng Sun
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Poster
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Tue 18:30
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Sublinear Space Private Algorithms Under the Sliding Window Model
Jalaj Upadhyay
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Poster
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Thu 18:30
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Differentially Private Learning of Geometric Concepts
Haim Kaplan · Yishay Mansour · Yossi Matias · Uri Stemmer
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Poster
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Tue 18:30
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Poission Subsampled R\'enyi Differential Privacy
Yuqing Zhu · Yu-Xiang Wang
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Poster
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Thu 18:30
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Bounding User Contributions: A Bias-Variance Trade-off in Differential Privacy
Kareem Amin · Alex Kulesza · andres munoz · Sergei Vassilvitskii
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Poster
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Tue 18:30
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Natural Analysts in Adaptive Data Analysis
Tijana Zrnic · Moritz Hardt
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Poster
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Thu 18:30
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On Sparse Linear Regression in the Local Differential Privacy Model
Di Wang · Jinhui Xu
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Poster
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Tue 18:30
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Low Latency Privacy Preserving Inference
Alon Brutzkus · Ran Gilad-Bachrach · Oren Elisha
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Poster
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Tue 18:30
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Graphical-model based estimation and inference for differential privacy
Ryan McKenna · Daniel Sheldon · Gerome Miklau
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Poster
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Thu 18:30
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Differentially Private Empirical Risk Minimization with Non-convex Loss Functions
Di Wang · Changyou Chen · Jinhui Xu
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Poster
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Tue 18:30
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An Optimal Private Stochastic-MAB Algorithm based on Optimal Private Stopping Rule
Touqir Sajed · Or Sheffet
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Poster
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Tue 18:30
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Locally Private Bayesian Inference for Count Models
Aaron Schein · Steven Wu · Alexandra Schofield · Mingyuan Zhou · Hanna Wallach
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