Héber Hwang Arcolezi

Orcid: 0000-0001-8059-7094

According to our database1, Héber Hwang Arcolezi authored at least 23 papers between 2019 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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Article 
PhD thesis 
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Bibliography

2023
On the Risks of Collecting Multidimensional Data Under Local Differential Privacy.
Proc. VLDB Endow., 2023

On the Impact of Multi-dimensional Local Differential Privacy on Fairness.
CoRR, 2023

Causal Discovery Under Local Privacy.
CoRR, 2023

Revealing the True Cost of Local Privacy: An Auditing Perspective.
CoRR, 2023

Frequency Estimation of Evolving Data Under Local Differential Privacy.
Proceedings of the Proceedings 26th International Conference on Extending Database Technology, 2023

(Local) Differential Privacy has NO Disparate Impact on Fairness.
Proceedings of the Data and Applications Security and Privacy XXXVII, 2023

On the Utility Gain of Iterative Bayesian Update for Locally Differentially Private Mechanisms.
Proceedings of the Data and Applications Security and Privacy XXXVII, 2023

2022
Production of categorical data verifying differential privacy: conception and applications to machine learning. (Production de données catégorielles respectant la confidentialité différentielle: conception et applications au apprentissage automatique).
PhD thesis, 2022

Privacy-Preserving Prediction of Victim's Mortality and Their Need for Transportation to Health Facilities.
IEEE Trans. Ind. Informatics, 2022

Differentially private multivariate time series forecasting of aggregated human mobility with deep learning: Input or gradient perturbation?
Neural Comput. Appl., 2022

Production of Categorical Data Verifying Differential Privacy: Conception and Applications to Machine Learning.
CoRR, 2022

Multi-Freq-LDPy: Multiple Frequency Estimation Under Local Differential Privacy in Python.
Proceedings of the Computer Security - ESORICS 2022, 2022

2021
RISE controller tuning and system identification through machine learning for human lower limb rehabilitation via neuromuscular electrical stimulation.
Eng. Appl. Artif. Intell., 2021

Improving the Utility of Locally Differentially Private Protocols for Longitudinal and Multidimensional Frequency Estimates.
CoRR, 2021

Machine learning-based forecasting of firemen ambulances' turnaround time in hospitals, considering the COVID-19 impact.
Appl. Soft Comput., 2021

Random Sampling Plus Fake Data: Multidimensional Frequency Estimates With Local Differential Privacy.
Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

2020
A Novel Robust and Intelligent Control Based Approach for Human Lower Limb Rehabilitation via Neuromuscular Electrical Stimulation.
CoRR, 2020

Forecasting the number of firefighter interventions per region with local-differential-privacy-based data.
Comput. Secur., 2020

A Comparison of LSTM and XGBoost for Predicting Firemen Interventions.
Proceedings of the Trends and Innovations in Information Systems and Technologies, 2020

Longitudinal Collection and Analysis of Mobile Phone Data with Local Differential Privacy.
Proceedings of the Privacy and Identity Management: 15th IFIP WG 9.2, 2020

Mobility modeling through mobile data: generating an optimized and open dataset respecting privacy.
Proceedings of the 16th International Wireless Communications and Mobile Computing Conference, 2020

2019
Long Short-Term Memory for Predicting Firemen Interventions.
Proceedings of the 6th International Conference on Control, 2019

A RISE-based Controller Fine-tuned by an Improved Genetic Algorithm for Human Lower Limb Rehabilitation via Neuromuscular Electrical Stimulation.
Proceedings of the 6th International Conference on Control, 2019


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