Publications
Here I list my peer-reviewed publications ordered by year including their pdf (or authors pdf version) and their resources when applicable (e.g., presentation, video-presentation, dataset, codes).
The author order indicates the magnitude of contribution, with the first author adding the most value.
The superscript * indicates equal contributions to the paper.
You can also check out my ORCID, DBLP, Google Scholar, Web of Science and Lattes CV pages.
2024
A Systematic and Formal Study of the Impact of Local Differential Privacy on Fairness: Preliminary Results
Makhlouf, K., Stefanović, T., Arcolezi, H. H., Palamidessi, C.
[CSF 2024] [arXiv]
Revealing the True Cost of Locally Differentially Private Protocols: An Auditing Perspective
Arcolezi, H.H., Gambs, S.
[PETS 2024] [arXiv] [Codes]
On the impact of multi-dimensional local differential privacy on fairness
Makhlouf, K., Arcolezi, H. H., Zhioua, S., Ben Brahim, G., Palamidessi, C.
[ECML PKDD 2024 (Journal Track)] [arXiv] [Codes]
Causal Discovery Under Local Privacy
Binkyte, R., Pinzón, C.A., Lestyán, S., Jung, K., Arcolezi, H.H., Palamidessi, C.
[CLeaR 2024] [arXiv]
2023
(Local) Differential Privacy has NO Disparate Impact on Fairness
Arcolezi, H. H., Makhlouf, K., Palamidessi, C.
*2023 DBSec Best Paper Award*
[DBSec 2023] [arXiv] [Presentation] [Codes]
On the Utility Gain of Iterative Bayesian Update for Locally Differentially Private Mechanisms
Arcolezi, H. H., Cerna, S., Palamidessi, C.
[DBSec 2023] [arXiv] [Presentation] [Codes]
On the Risks of Collecting Multidimensional Data Under Local Differential Privacy
Arcolezi, H. H., Gambs, S., Couchot, J.F., Palamidessi, C.
[VLDB 2023] [arXiv] [Presentation] [Codes]
Frequency Estimation of Evolving Data Under Local Differential Privacy
*Arcolezi, H. H., *Pinzón, C., Palamidessi, C., Gambs, S.
[EDBT 2023] [arXiv] [Codes]
2022
Multi-Freq-LDPy: Multiple Frequency Estimation Under Local Differential Privacy in Python
Arcolezi, H. H., Couchot, J.F., Gambs, S., Palamidessi, C., Zolfaghari, M.
[ESORICS 2022] [arXiv] [Poster] [Codes]
Improving the utility of locally differentially private protocols for longitudinal and multidimensional frequency estimates
Arcolezi, H. H., Couchot, J.-F., Al Bouna, B., Xiao, X.
[DCAN Journal] [arXiv] [Codes]
Differentially private multivariate time series forecasting of aggregated human mobility with deep learning: Input or gradient perturbation?
Arcolezi, H. H., Couchot, J.-F., Renaud, D., Al Bouna, B., Xiao, X.
[NCAA Journal] [arXiv] [Codes] [Dataset]
Privacy-Preserving Prediction of Victim’s Mortality and Their Need for Transportation to Health Facilities
*Arcolezi, H. H., *Cerna, S., Couchot, J.-F., Guyeux, C., Makhoul, A.
[IEEE TII Journal] [Authors pdf Version]
2021
Random Sampling Plus Fake Data: Multidimensional Frequency Estimates With Local Differential Privacy
Arcolezi, H. H., Couchot, J.-F., Al Bouna, B., Xiao, X.
[CIKM 2021] [arXiv] [Presentation] [Video-Presentation] [Codes]
Preserving Geo-Indistinguishability of the Emergency Scene to Predict Ambulance Response Time
Arcolezi, H. H., Cerna, S., Guyeux, C., Couchot, J.-F.
[MCA Journal] [Codes]
Machine learning-based forecasting of firemen ambulances’ turnaround time in hospitals, considering the COVID-19 impact
Cerna, S., Arcolezi, H. H., Guyeux, C., Royer-Fey, G., Chevallier, C.
[ASOC Journal] [Authors pdf Version]
RISE Controller Tuning and System Identification Through Machine Learning for Human Lower Limb Rehabilitation via Neuromuscular Electrical Stimulation
Arcolezi, H. H., Nunes, W. R. B. M., de Araujo, R. A., Cerna, S., Sanches, M. A. A., Teixeira, M. C. M., de Carvalho, A. A.
[EAAI Journal] [arXiv]
2020
Identifying the knee joint angular position under neuromuscular electrical stimulation via long short-term memory neural networks
Arcolezi, H. H., Nunes, W. R. B. M., Cerna, S., de Araujo, R. A., Sanches, M. A. A., Teixeira, M. C. M., de Carvalho, A. A.
[RBE Journal]
Longitudinal Collection and Analysis of Mobile Phone Data with Local Differential Privacy
Arcolezi, H. H., Couchot, J.-F., Al Bouna, B., Xiao, X.
[IFIP SS Priv. & Iden. Manag.] [Authors pdf Version] [Codes]
Mobility modeling through mobile data: generating an optimized and open dataset respecting privacy
Arcolezi, H. H., Couchot, J.-F., Baala, O., Contet, J.-M., Al Bouna, B., Xiao, X.
[IWCMC 2020] [Authors pdf Version] [Presentation] [Dataset]
Forecasting the Number of Firefighter Interventions per Region with Local-Differential-Privacy-Based Data
Arcolezi, H. H., Couchot, J.-F., Cerna, S., Guyeux, C., Royer, G., Al Bouna, B., Xiao, X.
[Computers & Security Journal] [Authors pdf Version]
A Comparison of LSTM and XGBoost for Predicting Firemen Interventions
Cerna, S., Guyeux, C., Arcolezi, H. H., Couturier, R., Royer, G.
[WorldCIST’20] [Authors pdf Version]
Boosting Methods for Predicting Firemen Interventions
Cerna, S., Guyeux, C., Arcolezi, H. H., Couturier, R., Royer, G.
[ICICS 2020] [Authors pdf Version]
2019
A RISE-based Controller Fine-tuned by an Improved Genetic Algorithm for Human Lower Limb Rehabilitation via Neuromuscular Electrical Stimulation
Arcolezi, H. H., Nunes, W. R. B. M., Nahuis, S. L. C., Sanches, M. A. A., Teixeira, M. C. M., de Carvalho, A. A.
[CoDIT 2019] [Authors pdf Version]
Long Short-Term Memory for Predicting Firemen Interventions
Ñahuis, S. L. C., Guyeux, C., Arcolezi, H. H., Couturier, R., Royer, G., Lotufo, A. D. P.
[CoDIT 2019] [Authors pdf Version]
Technical Reports
Type: Ph.D. Thesis.
Institution: University Bourgogne Franche-Comté (UBFC).
Title: Production of Categorical Data Verifying Differential Privacy: Conception and Applications to Machine Learning.
Supervisor: Jean-François Couchot.
Co-Supervisors: Bechara Al Bouna and Xiaokui Xiao.
Year. 2022.
Resources: arXiv, Presentation, Video-Presentation.
Type: Master Thesis.
Institution: São Paulo State University (UNESP).
Title: A Novel Robust and Intelligent Control Based Approach for Human Lower Limb Rehabilitation via Neuromuscular Electrical Stimulation.
Supervisor: Aparecido Augusto de Carvalho.
Year. 2019.
Resources: pdf Version, Presentation.
Type: Bachelor Final Report (a.k.a. “Trabalho de Conclusão de Curso”).
Institution: Mato Grosso State University (UNEMAT).
Title: Um Estudo Complementar ao Projeto de Controle PID no Caso do Pêndulo Invertido (in Portuguese).
Supervisor: Rogério B. Quirino.
Year. 2017.
Resources: pdf Version.