Héber Hwang Arcolezi
Orcid: 0000-0001-8059-7094
According to our database1,
Héber Hwang Arcolezi
authored at least 27 papers
between 2019 and 2024.
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Bibliography
2024
Data Min. Knowl. Discov., July, 2024
Revealing the True Cost of Locally Differentially Private Protocols: An Auditing Perspective.
Proc. Priv. Enhancing Technol., 2024
Improving the utility of locally differentially private protocols for longitudinal and multidimensional frequency estimates.
Digit. Commun. Networks, 2024
Nob-MIAs: Non-biased Membership Inference Attacks Assessment on Large Language Models with Ex-Post Dataset Construction.
Proceedings of the Web Information Systems Engineering - WISE 2024, 2024
A Systematic and Formal Study of the Impact of Local Differential Privacy on Fairness: Preliminary Results.
Proceedings of the 37th IEEE Computer Security Foundations Symposium, 2024
Proceedings of the Causal Learning and Reasoning, 2024
2023
Proc. VLDB Endow., 2023
Proceedings of the Proceedings 26th International Conference on Extending Database Technology, 2023
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
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
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
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