activity
20022024
most citedDifferentially Private k-Means with Constant Multiplicative Error

28 citations · 244 across the 83 of their papers we have counts for

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Showing 2021Show all

12 papers · 1 filter

cs.NI2021★ 9 cited

Optimal Weighted Load Balancing in TCAMs

Yaniv Sadeh, Ori Rottenstreich, Haim Kaplan

Traffic splitting is a required functionality in networks, for example for load balancing over multiple paths or among different servers. The capacities of the servers determine th…

cs.LG2021★ 5 cited

Differentially-Private Clustering of Easy Instances

Edith Cohen, Haim Kaplan, Yishay Mansour +2

Clustering is a fundamental problem in data analysis. In differentially private clustering, the goal is to identify cluster centers without disclosing information on individual…

cs.DS2021

A Note on Sanitizing Streams with Differential Privacy

Haim Kaplan, Uri Stemmer

The literature on data sanitization aims to design algorithms that take an input dataset and produce a privacy-preserving version of it, that captures some of its statistical prope…

cs.DS2021

Dynamic Algorithms Against an Adaptive Adversary: Generic Constructions and Lower Bounds

Amos Beimel, Haim Kaplan, Yishay Mansour +3

A dynamic algorithm against an adaptive adversary is required to be correct when the adversary chooses the next update after seeing the previous outputs of the algorithm. We obtain…

cs.LG2021★ 2 cited

Differentially Private Approximate Quantiles

Haim Kaplan, Shachar Schnapp, Uri Stemmer

In this work we study the problem of differentially private (DP) quantiles, in which given dataset and quantiles , we want to output quantile estim…

cs.LG2021★ 3 cited

FriendlyCore: Practical Differentially Private Aggregation

Eliad Tsfadia, Edith Cohen, Haim Kaplan +2

Differentially private algorithms for common metric aggregation tasks, such as clustering or averaging, often have limited practicality due to their complexity or to the large numb…