Héber H. Arcolezi

hharcolezi's activity

• All
• Models
• Datasets
• Spaces
• Papers
• Collections
• Community
• Posts
• Upvotes
• Likes
• Articles

authored 9 papers 11 days ago

(Local) Differential Privacy has NO Disparate Impact on Fairness

Paper • 2304.12845 • Published Apr 25, 2023

On the Utility Gain of Iterative Bayesian Update for Locally Differentially Private Mechanisms

Paper • 2307.07744 • Published Jul 15, 2023

RISE Controller Tuning and System Identification Through Machine Learning for Human Lower Limb Rehabilitation via Neuromuscular Electrical Stimulation

Paper • 2006.15605 • Published Jun 28, 2020

Random Sampling Plus Fake Data: Multidimensional Frequency Estimates With Local Differential Privacy

Paper • 2109.07269 • Published Sep 15, 2021

Production of Categorical Data Verifying Differential Privacy: Conception and Applications to Machine Learning

Paper • 2204.00850 • Published Apr 2, 2022

Differentially Private Multivariate Time Series Forecasting of Aggregated Human Mobility With Deep Learning: Input or Gradient Perturbation?

Paper • 2205.00436 • Published May 1, 2022

Improving the utility of locally differentially private protocols for longitudinal and multidimensional frequency estimates

Paper • 2111.04636 • Published Nov 8, 2021

Frequency Estimation of Evolving Data Under Local Differential Privacy

Paper • 2210.00262 • Published Oct 1, 2022

Multi-Freq-LDPy: Multiple Frequency Estimation Under Local Differential Privacy in Python

Paper • 2205.02648 • Published May 5, 2022

authored 8 papers 12 days ago

Revisiting Locally Differentially Private Protocols: Towards Better Trade-offs in Privacy, Utility, and Attack Resistance

Paper • 2503.01482 • Published Mar 3

On the Impact of Multi-dimensional Local Differential Privacy on Fairness

Paper • 2312.04404 • Published Dec 7, 2023

Causal Discovery Under Local Privacy

Paper • 2311.04037 • Published Nov 7, 2023

Revealing the True Cost of Locally Differentially Private Protocols: An Auditing Perspective

Paper • 2309.01597 • Published Sep 4, 2023

Nob-MIAs: Non-biased Membership Inference Attacks Assessment on Large Language Models with Ex-Post Dataset Construction

Paper • 2408.05968 • Published Aug 12, 2024

Private Frequency Estimation Via Residue Number Systems

Paper • 2511.11569 • Published 16 days ago

Breaking Anonymity at Scale: Re-identifying the Trajectories of 100K Real Users in Japan

Paper • 2506.05611 • Published Jun 5

Fair Play for Individuals, Foul Play for Groups? Auditing Anonymization's Impact on ML Fairness

Paper • 2505.07985 • Published May 12