A RISE-based Controller Fine-tuned by an Improved Genetic Algorithm for Human Lower Limb Rehabilitation via Neuromuscular Electrical Stimulation. - Héber Hwang Arcolezi; Willian R. B. M. Nunes; Selene Leya Cerna Ñahuis; Marcelo A. A. Sanches; Marcelo C. M. Teixeira; Aparecido Augusto de Carvalho (CoDIT, 2019)

Long Short-Term Memory for Predicting Firemen Interventions. - Selene Leya Cerna Ñahuis; Christophe Guyeux; Héber Hwang Arcolezi; Raphaël Couturier; Guillaume Royer; Anna Diva P. Lotufo (CoDIT, 2019)

Mobility modeling through mobile data: generating an optimized and open dataset respecting privacy. - Héber Hwang Arcolezi; Jean-François Couchot; Oumaya Baala; Jean-Michel Contet; Bechara al Bouna; Xiaokui Xiao (IWCMC, 2020)

Longitudinal Collection and Analysis of Mobile Phone Data with Local Differential Privacy. - Héber Hwang Arcolezi; Jean-François Couchot; Bechara al Bouna; Xiaokui Xiao (Privacy and Identity Management, 2020)

A Comparison of LSTM and XGBoost for Predicting Firemen Interventions. - Selene Cerna; Christophe Guyeux; Héber Hwang Arcolezi; Raphaël Couturier; Guillaume Royer (WorldCIST (2), 2020)

Forecasting the number of firefighter interventions per region with local-differential-privacy-based data. - Héber Hwang Arcolezi; Jean-François Couchot; Selene Cerna; Christophe Guyeux; Guillaume Royer; Bechara al Bouna; Xiaokui Xiao (Comput. Secur., 2020)

A Novel Robust and Intelligent Control Based Approach for Human Lower Limb Rehabilitation via Neuromuscular Electrical Stimulation. - Héber Hwang Arcolezi; Willian R. B. M. Nunes; Rafael A. de Araujo; Selene Leya Cerna Ñahuis; Marcelo A. A. Sanches; Marcelo C. M. Teixeira; Aparecido Augusto de Carvalho (CoRR, 2020)

Random Sampling Plus Fake Data: Multidimensional Frequency Estimates With Local Differential Privacy. - Héber Hwang Arcolezi; Jean-François Couchot; Bechara al Bouna; Xiaokui Xiao (CIKM, 2021)

Machine learning-based forecasting of firemen ambulances' turnaround time in hospitals, considering the COVID-19 impact. - Selene Cerna; Héber Hwang Arcolezi; Christophe Guyeux; Guillaume Royer; Céline Chevallier (Appl. Soft Comput., 2021)

RISE controller tuning and system identification through machine learning for human lower limb rehabilitation via neuromuscular electrical stimulation. - Héber Hwang Arcolezi; Willian R. B. M. Nunes; Rafael A. de Araujo; Selene Cerna; Marcelo A. A. Sanches; Marcelo C. M. Teixeira; Aparecido Augusto de Carvalho (Eng. Appl. Artif. Intell., 2021)

Multi-Freq-LDPy: Multiple Frequency Estimation Under Local Differential Privacy in Python. - Héber Hwang Arcolezi; Jean-François Couchot; Sébastien Gambs; Catuscia Palamidessi; Majid Zolfaghari (ESORICS (3), 2022)

Production of Categorical Data Verifying Differential Privacy: Conception and Applications to Machine Learning. - Héber Hwang Arcolezi (CoRR, 2022)

Differentially private multivariate time series forecasting of aggregated human mobility with deep learning: Input or gradient perturbation? - Héber Hwang Arcolezi; Jean-François Couchot; Denis Renaud; Bechara al Bouna; Xiaokui Xiao (Neural Comput. Appl., 2022)

Privacy-Preserving Prediction of Victim's Mortality and Their Need for Transportation to Health Facilities. - Héber Hwang Arcolezi; Selene Cerna; Jean-François Couchot; Christophe Guyeux; Abdallah Makhoul (IEEE Trans. Ind. Informatics, 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). - Héber Hwang Arcolezi (2022)

On the Utility Gain of Iterative Bayesian Update for Locally Differentially Private Mechanisms. - Héber Hwang Arcolezi; Selene Cerna; Catuscia Palamidessi (DBSec, 2023)

(Local) Differential Privacy has NO Disparate Impact on Fairness. - Héber Hwang Arcolezi; Karima Makhlouf; Catuscia Palamidessi (DBSec, 2023)

Frequency Estimation of Evolving Data Under Local Differential Privacy. - Héber Hwang Arcolezi; Carlos Pinzón; Catuscia Palamidessi; Sébastien Gambs (EDBT, 2023)

Revealing the True Cost of Local Privacy: An Auditing Perspective. - Héber Hwang Arcolezi; Sébastien Gambs (CoRR, 2023)

On the Risks of Collecting Multidimensional Data Under Local Differential Privacy. - Héber Hwang Arcolezi; Sébastien Gambs; Jean-François Couchot; Catuscia Palamidessi (Proc. VLDB Endow., 2023)

Causal Discovery Under Local Privacy. - Ruta Binkyte; Carlos Pinzón; Szilvia Lestyan; Kangsoo Jung; Héber Hwang Arcolezi; Catuscia Palamidessi (CLeaR, 2024)

A Systematic and Formal Study of the Impact of Local Differential Privacy on Fairness: Preliminary Results. - Karima Makhlouf; Tamara Stefanovic; Héber Hwang Arcolezi; Catuscia Palamidessi (CSF, 2024)

Nob-MIAs: Non-biased Membership Inference Attacks Assessment on Large Language Models with Ex-Post Dataset Construction. - Cédric Eichler; Nathan Champeil; Nicolas Anciaux; Alexandra Bensamoun; Héber Hwang Arcolezi; José María de Fuentes (WISE (3), 2024)

Improving the utility of locally differentially private protocols for longitudinal and multidimensional frequency estimates. - Héber Hwang Arcolezi; Jean-François Couchot; Bechara al Bouna; Xiaokui Xiao (Digit. Commun. Networks, 2024)

Revealing the True Cost of Locally Differentially Private Protocols: An Auditing Perspective. - Héber Hwang Arcolezi; Sébastien Gambs (Proc. Priv. Enhancing Technol., 2024)

On the impact of multi-dimensional local differential privacy on fairness. - Karima Makhlouf; Héber Hwang Arcolezi; Sami Zhioua; Ghassen Ben Brahim; Catuscia Palamidessi (Data Min. Knowl. Discov., 2024)

FADE: Federated Aggregation with Discrimination Elimination. - Adda-Akram Bendoukha; Héber Hwang Arcolezi; Nesrine Kaaniche; Aymen Boudguiga; Renaud Sirdey; Pierre-Emmanuel Clet (FAccT, 2025)

Group fairness under obfuscated sensitive information. - Héber Hwang Arcolezi; Karima Makhlouf; Catuscia Palamidessi (J. Comput. Secur., 2025)

Revisiting Locally Differentially Private Protocols: Towards Better Trade-offs in Privacy, Utility, and Attack Resistance. - Héber Hwang Arcolezi; Sébastien Gambs (CoRR, 2025)

Fair Play for Individuals, Foul Play for Groups? Auditing Anonymization's Impact on ML Fairness. - Héber Hwang Arcolezi; Mina Alishahi; Adda-Akram Bendoukha; Nesrine Kaaniche (CoRR, 2025)

Breaking Anonymity at Scale: Re-identifying the Trajectories of 100K Real Users in Japan. - Abhishek Kumar Mishra; Mathieu Cunche; Héber Hwang Arcolezi (CoRR, 2025)