Relative Error Streaming Quantiles. | 0 | 0.34 | 2022 |
Frequency Estimation Under Multiparty Differential Privacy: One-shot and Streaming. | 0 | 0.34 | 2022 |
Aggregation and Transformation of Vector-Valued Messages in the Shuffle Model of Differential Privacy | 0 | 0.34 | 2022 |
Relative Error Streaming Quantiles | 0 | 0.34 | 2021 |
Applying the Shuffle Model of Differential Privacy to Vector Aggregation. | 0 | 0.34 | 2021 |
Theory meets Practice at the Median: A Worst Case Comparison of Relative Error Quantile Algorithms | 0 | 0.34 | 2021 |
Technical Perspective: A Framework for Adversarially Robust Streaming Algorithms | 0 | 0.34 | 2021 |
Subspace Exploration: Bounds on Projected Frequency Estimation | 0 | 0.34 | 2021 |
Frequency Estimation under Local Differential Privacy. | 0 | 0.34 | 2021 |
Streaming Algorithms For Bin Packing And Vector Scheduling | 0 | 0.34 | 2019 |
Towards a Theory of Parameterized Streaming Algorithms. | 0 | 0.34 | 2019 |
Technical perspective: The true cost of popularity. | 0 | 0.34 | 2019 |
Tight Lower Bound for Comparison-Based Quantile Summaries. | 2 | 0.40 | 2019 |
Efficient Interactive Proofs for Linear Algebra. | 0 | 0.34 | 2019 |
Technical Perspective: #8712;KTELO | 0 | 0.34 | 2019 |
Answering Range Queries Under Local Differential Privacy. | 0 | 0.34 | 2019 |
Independent Sets in Vertex-Arrival Streams. | 0 | 0.34 | 2019 |
Privacy at Scale: Local Differential Privacy in Practice. | 7 | 0.46 | 2018 |
The Sparse Awakens: Streaming Algorithms for Matching Size Estimation in Sparse Graphs. | 7 | 0.61 | 2017 |
Independent Set Size Approximation in Graph Streams. | 3 | 0.43 | 2017 |
Constrained Differential Privacy for Count Data. | 0 | 0.34 | 2017 |
A second look at counting triangles in graph streams (corrected). | 3 | 0.41 | 2017 |
Corrigendum to "A second look at counting triangles in graph streams" [Theoret. Comput. Sci. 552 (2014) 44-51]. | 0 | 0.34 | 2017 |
Publishing Attributed Social Graphs with Formal Privacy Guarantees. | 9 | 0.54 | 2016 |
Conditional heavy hitters: detecting interesting correlations in data streams | 7 | 0.44 | 2015 |
DPT: differentially private trajectory synthesis using hierarchical reference systems | 36 | 0.92 | 2015 |
Streaming Methods In Data Analysis | 0 | 0.34 | 2015 |
Private Release of Graph Statistics using Ladder Functions | 21 | 0.65 | 2015 |
Parameterized Streaming: Maximal Matching and Vertex Cover. | 15 | 0.66 | 2015 |
Kernelization via Sampling with Applications to Dynamic Graph Streams | 8 | 0.49 | 2015 |
Conservative or liberal? Personalized differential privacy | 29 | 0.92 | 2015 |
DPT: Differentially Private Trajectory Synthesis Using Hierarchical Reference Systems. | 0 | 0.34 | 2015 |
Modeling collaboration in academia: a game theoretic approach | 0 | 0.34 | 2014 |
Sampling for big data: a tutorial | 16 | 0.75 | 2014 |
Parameterized Streaming Algorithms for Vertex Cover. | 1 | 0.35 | 2014 |
People like us: mining scholarly data for comparable researchers | 3 | 0.43 | 2014 |
PrivBayes: private data release via bayesian networks | 43 | 1.11 | 2014 |
Summary Data Structures for Massive Data. | 1 | 0.35 | 2013 |
Information Cost Tradeoffs for Augmented Index and Streaming Language Recognition. | 2 | 0.38 | 2013 |
Finding interesting correlations with conditional heavy hitters | 5 | 0.41 | 2013 |
First author advantage: citation labeling in research | 0 | 0.34 | 2013 |
Socializing the h-index. | 5 | 0.45 | 2013 |
What does an associate editor actually do? | 0 | 0.34 | 2013 |
Quantiles over data streams: an experimental study | 15 | 0.80 | 2013 |
Practical verified computation with streaming interactive proofs | 70 | 1.80 | 2012 |
Large-Scale Distributed Computation (NII Shonan Meeting 2012-1). | 0 | 0.34 | 2012 |
Continuous sampling from distributed streams | 14 | 0.55 | 2012 |
Verifying Computations with Streaming Interactive Proofs. | 0 | 0.34 | 2012 |
Studying the source code of scientific research | 0 | 0.34 | 2012 |
Differentially private summaries for sparse data | 36 | 1.18 | 2012 |