conference
Publications
Here I list my peer-reviewed publications ordered by year, including their pdf (or author’s 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.
2026
conference
Where to Intervene? Benchmarking Fairness-Aware Learning on Differentially Private Synthetic Tabular Data
conference
Data Poisoning in Longitudinal Local Differential Privacy: Attacks and Analysis
conference
Quantifying the Privacy of Counterfactuals by Leveraging Membership Inference Attacks Against Synthetic Data
conference
Beyond Epsilon: A Principled QIF Framework for Local Differential Privacy
conference
How Tough Is Location Anonymization? Re-identifying 100K Real-User Trajectories in Japan
conference
Revisiting Locally Differentially Private Protocols: Towards Better Trade-offs in Privacy, Utility, and Attack Resistance
conference
Private Frequency Estimation Via Residue Number Systems
conference
Estimating the True Distribution of Data Collected with Randomized Response
2025
conference
Demo: Exploring Utility and Attackability Trade-offs in Local Differential Privacy
conference
Fair Play for Individuals, Foul Play for Groups? Auditing Anonymization’s Impact on ML Fairness
conference
FADE: Federated Aggregation with Discrimination Elimination
journal
Group fairness under obfuscated sensitive information
2024
conference
Nob-MIAs: Non-biased Membership Inference Attacks Assessment on Large Language Models with Ex-Post Dataset Construction
journal
On the impact of multi-dimensional local differential privacy on fairness
conference
Revealing the True Cost of Locally Differentially Private Protocols: An Auditing Perspective
conference
A Systematic and Formal Study of the Impact of Local Differential Privacy on Fairness: Preliminary Results
conference
Causal Discovery Under Local Privacy
journal
Improving the utility of locally differentially private protocols for longitudinal and multidimensional frequency estimates
2023
conference
On the Risks of Collecting Multidimensional Data Under Local Differential Privacy
conference
Frequency Estimation of Evolving Data Under Local Differential Privacy
conference
(Local) Differential Privacy has NO Disparate Impact on Fairness
conference
On the Utility Gain of Iterative Bayesian Update for Locally Differentially Private Mechanisms
2022
conference
Multi-Freq-LDPy: Multiple Frequency Estimation Under Local Differential Privacy in Python
journal
Privacy-Preserving Prediction of Victim's Mortality and Their Need for Transportation to Health Facilities
journal
Differentially private multivariate time series forecasting of aggregated human mobility with deep learning: Input or gradient perturbation?
2021
conference
Random Sampling Plus Fake Data: Multidimensional Frequency Estimates With Local Differential Privacy
journal
Machine learning-based forecasting of firemen ambulances' turnaround time in hospitals, considering the COVID-19 impact
journal
Preserving Geo-Indistinguishability of the Emergency Scene to Predict Ambulance Response Time
journal
RISE Controller Tuning and System Identification Through Machine Learning for Human Lower Limb Rehabilitation via Neuromuscular Electrical Stimulation
2020
journal
Identifying the knee joint angular position under neuromuscular electrical stimulation via long short-term memory neural networks
conference
Longitudinal Collection and Analysis of Mobile Phone Data with Local Differential Privacy
conference
Mobility modeling through mobile data: generating an optimized and open dataset respecting privacy
journal
Forecasting the Number of Firefighter Interventions per Region with Local-Differential-Privacy-Based Data
conference
A Comparison of LSTM and XGBoost for Predicting Firemen Interventions
conference
Boosting Methods for Predicting Firemen Interventions
2019
conference
A RISE-based Controller Fine-tuned by an Improved Genetic Algorithm for Human Lower Limb Rehabilitation via Neuromuscular Electrical Stimulation
conference
Long Short-Term Memory for Predicting Firemen Interventions
Technical Reports
Ph.D. Thesis
Production of Categorical Data Verifying Differential Privacy: Conception and Applications to Machine Learning
Master Thesis
A Novel Robust and Intelligent Control Based Approach for Human Lower Limb Rehabilitation via Neuromuscular Electrical Stimulation
Bachelor Thesis
Um Estudo Complementar ao Projeto de Controle PID no Caso do Pêndulo Invertido (in Portuguese)
Mato Grosso State University (UNEMAT)PDF / preprint