Héber H. Arcolezi | DeepAI

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∙ 10/01/2022

Frequency Estimation of Evolving Data Under Local Differential Privacy

Collecting and analyzing evolving longitudinal data has become a common ...

0 Héber H. Arcolezi, et al. ∙

∙ 09/04/2022

On the Risks of Collecting Multidimensional Data Under Local Differential Privacy

The private collection of multiple statistics from a population is a fun...

0 Héber H. Arcolezi, et al. ∙

∙ 05/05/2022

Multi-Freq-LDPy: Multiple Frequency Estimation Under Local Differential Privacy in Python

This paper introduces the Python package for multiple frequency estimat...

1 Héber H. Arcolezi, et al. ∙

∙ 05/01/2022

Differentially Private Multivariate Time Series Forecasting of Aggregated Human Mobility With Deep Learning: Input or Gradient Perturbation?

This paper investigates the problem of forecasting multivariate aggregat...

12 Héber H. Arcolezi, et al. ∙

∙ 04/02/2022

Production of Categorical Data Verifying Differential Privacy: Conception and Applications to Machine Learning

Private and public organizations regularly collect and analyze digitaliz...

25 Héber H. Arcolezi, et al. ∙

∙ 11/08/2021

Improving the Utility of Locally Differentially Private Protocols for Longitudinal and Multidimensional Frequency Estimates

This paper investigates the problem of collecting multidimensional data ...

1 Héber H. Arcolezi, et al. ∙

∙ 09/15/2021

Random Sampling Plus Fake Data: Multidimensional Frequency Estimates With Local Differential Privacy

With local differential privacy (LDP), users can privatize their data an...

1 Héber H. Arcolezi, et al. ∙