Héber Hwang Arcolezi

50 papers A* 3A 3B 4C 2Journal 31Unranked 6
YearRankTypeTitle / Venue / Authors
2026 A* conf
Estimating the True Distribution of Data Collected with Randomized Response.
AAAI
Carlos Antonio Pinzón, Ehab ElSalamouny, Lucas Massot, Alexis Miller, Héber Hwang Arcolezi, Catuscia Palamidessi
2026 J jnl
Estimating the True Distribution of Data Collected with Randomized Response.
CoRR
Carlos Antonio Pinzón, Ehab ElSalamouny, Lucas Massot, Alexis Miller, Héber Hwang Arcolezi, Catuscia Palamidessi
2026 A* conf
Private Frequency Estimation via Residue Number Systems.
AAAI
Héber Hwang Arcolezi
2026 J jnl
Understanding Disclosure Risk in Differential Privacy with Applications to Noise Calibration and Auditing (Extended Version).
CoRR
Patricia Guerra-Balboa, Annika Sauer, Héber Hwang Arcolezi, Thorsten Strufe
2025 J jnl
Breaking Anonymity at Scale: Re-identifying the Trajectories of 100K Real Users in Japan.
CoRR
Abhishek Kumar Mishra, Mathieu Cunche, Héber Hwang Arcolezi
2025 A* conf
Demo: Exploring Utility and Attackability Trade-offs in Local Differential Privacy.
CCS
Haoying Zhang, Abhishek K. Mishra, Héber Hwang Arcolezi
2025 — conf
FADE: Federated Aggregation with Discrimination Elimination.
FAccT
Adda-Akram Bendoukha, Héber Hwang Arcolezi, Nesrine Kaaniche, Aymen Boudguiga, Renaud Sirdey, Pierre-Emmanuel Clet
2025 A conf
Fair Play for Individuals, Foul Play for Groups? Auditing Anonymization's Impact on ML Fairness.
ECAI
Héber Hwang Arcolezi, Mina Alishahi, Adda-Akram Bendoukha, Nesrine Kaaniche
2025 J jnl
Fair Play for Individuals, Foul Play for Groups? Auditing Anonymization's Impact on ML Fairness.
CoRR
Héber Hwang Arcolezi, Mina Alishahi, Adda-Akram Bendoukha, Nesrine Kaaniche
2025 J jnl
Group fairness under obfuscated sensitive information.
J. Comput. Secur.
Héber Hwang Arcolezi, Karima Makhlouf, Catuscia Palamidessi
2025 J jnl
Private Frequency Estimation Via Residue Number Systems.
CoRR
Héber Hwang Arcolezi
2025 J jnl
Revisiting Locally Differentially Private Protocols: Towards Better Trade-offs in Privacy, Utility, and Attack Resistance.
CoRR
Héber Hwang Arcolezi, Sébastien Gambs
2024 A conf
A Systematic and Formal Study of the Impact of Local Differential Privacy on Fairness: Preliminary Results.
CSF
Karima Makhlouf, Tamara Stefanovic, Héber Hwang Arcolezi, Catuscia Palamidessi
2024 J jnl
A Systematic and Formal Study of the Impact of Local Differential Privacy on Fairness: Preliminary Results.
CoRR
Karima Makhlouf, Tamara Stefanovic, Héber Hwang Arcolezi, Catuscia Palamidessi
2024 — conf
Causal Discovery Under Local Privacy.
CLeaR
Ruta Binkyte, Carlos Pinzón, Szilvia Lestyan, Kangsoo Jung, Héber Hwang Arcolezi, Catuscia Palamidessi
2024 J jnl
Improving the utility of locally differentially private protocols for longitudinal and multidimensional frequency estimates.
Digit. Commun. Networks
Héber Hwang Arcolezi, Jean-François Couchot, Bechara al Bouna, Xiaokui Xiao
2024 — conf
Nob-MIAs: Non-biased Membership Inference Attacks Assessment on Large Language Models with Ex-Post Dataset Construction.
WISE (3)
Cédric Eichler, Nathan Champeil, Nicolas Anciaux, Alexandra Bensamoun, Héber Hwang Arcolezi, José María de Fuentes
2024 J jnl
Nob-MIAs: Non-biased Membership Inference Attacks Assessment on Large Language Models with Ex-Post Dataset Construction.
CoRR
Cédric Eichler, Nathan Champeil, Nicolas Anciaux, Alexandra Bensamoun, Héber Hwang Arcolezi, José María de Fuentes
2024 J jnl
On the impact of multi-dimensional local differential privacy on fairness.
Data Min. Knowl. Discov.
Karima Makhlouf, Héber Hwang Arcolezi, Sami Zhioua, Ghassen Ben Brahim, Catuscia Palamidessi
2024 J jnl
Revealing the True Cost of Locally Differentially Private Protocols: An Auditing Perspective.
Proc. Priv. Enhancing Technol.
Héber Hwang Arcolezi, Sébastien Gambs
2023 B conf
(Local) Differential Privacy has NO Disparate Impact on Fairness.
DBSec
Héber Hwang Arcolezi, Karima Makhlouf, Catuscia Palamidessi
2023 J jnl
(Local) Differential Privacy has NO Disparate Impact on Fairness.
CoRR
Héber Hwang Arcolezi, Karima Makhlouf, Catuscia Palamidessi
2023 J jnl
Causal Discovery Under Local Privacy.
CoRR
Ruta Binkyte, Carlos Pinzón, Szilvia Lestyán, Kangsoo Jung, Héber Hwang Arcolezi, Catuscia Palamidessi
2023 B conf
Frequency Estimation of Evolving Data Under Local Differential Privacy.
EDBT
Héber Hwang Arcolezi, Carlos Pinzón, Catuscia Palamidessi, Sébastien Gambs
2023 J jnl
On the Impact of Multi-dimensional Local Differential Privacy on Fairness.
CoRR
Karima Makhlouf, Héber Hwang Arcolezi, Sami Zhioua, Ghassen Ben Brahim, Catuscia Palamidessi
2023 J jnl
On the Risks of Collecting Multidimensional Data Under Local Differential Privacy.
Proc. VLDB Endow.
Héber Hwang Arcolezi, Sébastien Gambs, Jean-François Couchot, Catuscia Palamidessi
2023 B conf
On the Utility Gain of Iterative Bayesian Update for Locally Differentially Private Mechanisms.
DBSec
Héber Hwang Arcolezi, Selene Cerna, Catuscia Palamidessi
2023 J jnl
On the Utility Gain of Iterative Bayesian Update for Locally Differentially Private Mechanisms.
CoRR
Héber Hwang Arcolezi, Selene Cerna, Catuscia Palamidessi
2023 J jnl
Revealing the True Cost of Local Privacy: An Auditing Perspective.
CoRR
Héber Hwang Arcolezi, Sébastien Gambs
2022 J jnl
Differentially Private Multivariate Time Series Forecasting of Aggregated Human Mobility With Deep Learning: Input or Gradient Perturbation?
CoRR
Héber Hwang Arcolezi, Jean-François Couchot, Denis Renaud, Bechara al Bouna, Xiaokui Xiao
2022 J jnl
Differentially private multivariate time series forecasting of aggregated human mobility with deep learning: Input or gradient perturbation?
Neural Comput. Appl.
Héber Hwang Arcolezi, Jean-François Couchot, Denis Renaud, Bechara al Bouna, Xiaokui Xiao
2022 J jnl
Frequency Estimation of Evolving Data Under Local Differential Privacy.
CoRR
Héber Hwang Arcolezi, Carlos Pinzón, Catuscia Palamidessi, Sébastien Gambs
2022 — conf
Multi-Freq-LDPy: Multiple Frequency Estimation Under Local Differential Privacy in Python.
ESORICS (3)
Héber Hwang Arcolezi, Jean-François Couchot, Sébastien Gambs, Catuscia Palamidessi, Majid Zolfaghari
2022 J jnl
Multi-Freq-LDPy: Multiple Frequency Estimation Under Local Differential Privacy in Python.
CoRR
Héber Hwang Arcolezi, Jean-François Couchot, Sébastien Gambs, Catuscia Palamidessi, Majid Zolfaghari
2022 J jnl
On the Risks of Collecting Multidimensional Data Under Local Differential Privacy.
CoRR
Héber Hwang Arcolezi, Sébastien Gambs, Jean-François Couchot, Catuscia Palamidessi
2022 J jnl
Privacy-Preserving Prediction of Victim's Mortality and Their Need for Transportation to Health Facilities.
IEEE Trans. Ind. Informatics
Héber Hwang Arcolezi, Selene Cerna, Jean-François Couchot, Christophe Guyeux, Abdallah Makhoul
2022 J jnl
Production of Categorical Data Verifying Differential Privacy: Conception and Applications to Machine Learning.
CoRR
Héber Hwang Arcolezi
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
2021 J jnl
Improving the Utility of Locally Differentially Private Protocols for Longitudinal and Multidimensional Frequency Estimates.
CoRR
Héber Hwang Arcolezi, Jean-François Couchot, Bechara al Bouna, Xiaokui Xiao
2021 J jnl
Machine learning-based forecasting of firemen ambulances' turnaround time in hospitals, considering the COVID-19 impact.
Appl. Soft Comput.
Selene Cerna, Héber Hwang Arcolezi, Christophe Guyeux, Guillaume Royer, Céline Chevallier
2021 J jnl
RISE controller tuning and system identification through machine learning for human lower limb rehabilitation via neuromuscular electrical stimulation.
Eng. Appl. Artif. Intell.
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
2021 A conf
Random Sampling Plus Fake Data: Multidimensional Frequency Estimates With Local Differential Privacy.
CIKM
Héber Hwang Arcolezi, Jean-François Couchot, Bechara al Bouna, Xiaokui Xiao
2021 J jnl
Random Sampling Plus Fake Data: Multidimensional Frequency Estimates With Local Differential Privacy.
CoRR
Héber Hwang Arcolezi, Jean-François Couchot, Bechara al Bouna, Xiaokui Xiao
2020 — conf
A Comparison of LSTM and XGBoost for Predicting Firemen Interventions.
WorldCIST (2)
Selene Cerna, Christophe Guyeux, Héber Hwang Arcolezi, Raphaël Couturier, Guillaume Royer
2020 J jnl
A Novel Robust and Intelligent Control Based Approach for Human Lower Limb Rehabilitation via Neuromuscular Electrical Stimulation.
CoRR
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
2020 J jnl
Forecasting the number of firefighter interventions per region with local-differential-privacy-based data.
Comput. Secur.
Héber Hwang Arcolezi, Jean-François Couchot, Selene Cerna, Christophe Guyeux, Guillaume Royer, Bechara al Bouna, Xiaokui Xiao
2020 — conf
Longitudinal Collection and Analysis of Mobile Phone Data with Local Differential Privacy.
Privacy and Identity Management
Héber Hwang Arcolezi, Jean-François Couchot, Bechara al Bouna, Xiaokui Xiao
2020 B conf
Mobility modeling through mobile data: generating an optimized and open dataset respecting privacy.
IWCMC
Héber Hwang Arcolezi, Jean-François Couchot, Oumaya Baala, Jean-Michel Contet, Bechara al Bouna, Xiaokui Xiao
2019 C conf
A RISE-based Controller Fine-tuned by an Improved Genetic Algorithm for Human Lower Limb Rehabilitation via Neuromuscular Electrical Stimulation.
CoDIT
Héber Hwang Arcolezi, Willian R. B. M. Nunes, Selene Leya Cerna Ñahuis, Marcelo A. A. Sanches, Marcelo C. M. Teixeira, Aparecido Augusto de Carvalho
2019 C conf
Long Short-Term Memory for Predicting Firemen Interventions.
CoDIT
Selene Leya Cerna Ñahuis, Christophe Guyeux, Héber Hwang Arcolezi, Raphaël Couturier, Guillaume Royer, Anna Diva P. Lotufo