Héber H. Arcolezi
Scholar

Héber H. Arcolezi

Google Scholar ID: VJgSocwAAAAJ
Inria
Differential privacyPrivacyMachine Learning
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Citations & Impact
All-time
Citations
422
 
H-index
13
 
i10-index
16
 
Publications
20
 
Co-authors
18
list available
Contact
Emailheber.hwang-arcolezi@inria.frCVOpen ↗TwitterOpen ↗GitHubOpen ↗
Publications
7 items
PrivacySkills: How Privacy Guidance Shapes Source Selection in LLM Agents
2026
Cited
0
Where to Intervene? Benchmarking Fairness-Aware Learning on Differentially Private Synthetic Tabular Data
2026
Cited
0
Understanding Disclosure Risk in Differential Privacy with Applications to Noise Calibration and Auditing (Extended Version)
2026
Cited
0
Estimating the True Distribution of Data Collected with Randomized Response
2026
Cited
0
Private Frequency Estimation Via Residue Number Systems
2025
Cited
0
Fair Play for Individuals, Foul Play for Groups? Auditing Anonymization's Impact on ML Fairness
2025
Cited
0
Revisiting Locally Differentially Private Protocols: Towards Better Trade-offs in Privacy, Utility, and Attack Resistance
2025
Cited
0
Resume
Academic Achievements
  • - Publications:
  • - “Fair Play for Individuals, Foul Play for Groups? Auditing Anonymization’s Impact on ML Fairness” accepted at ECAI 2025
  • - “FADE: Federated Aggregation with Discrimination Elimination” accepted at FAccT 2025
  • - “Group fairness under obfuscated sensitive information” accepted at Journal of Computer Security
  • - “Nob-MIAs: Non-biased Membership Inference Attacks Assessment on Large Language Models with Ex-Post Dataset Construction” accepted at WISE 2024
  • - Pre-print papers:
  • - “Breaking Anonymity at Scale: Re-identifying the Trajectories of 100K Real Users in Japan”
  • - “Revisiting Locally Differentially Private Protocols: Towards Better Trade-offs in Privacy, Utility, and Attack Resistance”
  • - Projects:
  • - “Responsible AI: Design, Regulation, and Conformity (RAIDAC+)” funded by MIAI Cluster Chair Call
  • - “AI-PULSE: Aligning Privacy, UtiLity, and FairnesS for ResponsiblE AI” funded by ANR AAPG (JCJC - Young researchers) call
  • - Conference Participation:
  • - PC member of CCS 2026 (Privacy and Anonymity Track)
  • - PC member of ICLR 2026
  • - PC member of AAAI 2026
  • - Keynote speaker at IDESSAI 2025
  • - Keynote speaker at 9th GDR RSD/ASF Winter School on Distributed Systems & Networks 2025
  • - Awards: Notable Reviewer Award at USENIX Security 2025
Research Experience
  • - Research Scientist at Inria Grenoble's Privatics team
  • - Postdoctoral researcher at Inria Saclay's Comète team
Education
  • - Ph.D. in Computer Science from University Bourgogne Franche-Comté (UBFC)
  • - M.Sc. in Electrical Engineering from São Paulo State University (UNESP)
Background
  • - Research Interests: Differential Privacy and Responsible AI (e.g., privacy, fairness, and explainability)
  • - Position: Tenured Research Scientist at Inria Grenoble
  • - Team: Privatics team
Miscellany
  • - Social Media: Twitter, GitHub, Google Scholar
Co-authors
14 total
Catuscia Palamidessi
Catuscia Palamidessi
Inria
Christophe Guyeux
Christophe Guyeux
Femto-ST Institute, Université de Bourgogne Franche-Comté, France
Xiaokui Xiao
Xiaokui Xiao
National University of Singapore
Sébastien Gambs
Sébastien Gambs
Université du Québec à Montréal (UQAM)
Karima Makhlouf
Karima Makhlouf
Ph.D. in Artificial Intelligence
Carlos Antonio Pinzón
Carlos Antonio Pinzón
Ph.D. in informatics and mathematics
Cédric Eichler
Cédric Eichler
Associate professor of Computer Science, INSA Val de Loire
Nesrine Kaaniche
Nesrine Kaaniche
Institut Polytechnique de Paris