About Me

👋 Welcome!
I’m a tenured research scientist at Inria Grenoble working with the Privatics team. Previously, I was a postdoctoral researcher in the Comète team at Inria Saclay. I received my Ph.D. in Computer Science from the University Bourgogne Franche-Comté (UBFC) and my M.Sc. in Electrical Engineering from the São Paulo State University (UNESP).

🔬 Research Interests:
Differential Privacy • Responsible AI • Fairness • Explainability 🛡️🤖⚖️

📢 In February 2026, I will join ÉTS Montréal as an Assistant Professor.
I will be recruiting a PhD student for Fall 2026, focusing on differential privacy and responsible AI.

Recent News

• [Nov-25] Two papers accepted at AAAI 2026!
  • Private Frequency Estimation Via Residue Number Systems - https://www.arxiv.org/abs/2511.11569.
  • Estimating the True Distribution of Data Collected with Randomized Response.
• [Nov-25] I’ll be serving in the (Privacy and Anonymity Track) PC of the ACM Conference on Computer and Communications Security (CCS 2026).
• [Oct-25] 🏆 I’ve received a Notable Reviewer Award at USENIX Security 2025.
• [Sep-25] I’ll be serving in the PC of the 14th International Conference on Learning Representations (ICLR 2026).
• [Aug-25] I’ll be serving in the PC of the 40th Annual AAAI Conference on Artificial Intelligence (AAAI 2026).
• [Jul-25] Our paper “Fair Play for Individuals, Foul Play for Groups? Auditing Anonymization’s Impact on ML Fairness” has been accepted at ECAI 2025 and can be accessed at https://arxiv.org/abs/2505.07985.
• [Jun-25] Our new pre-print paper “Breaking Anonymity at Scale: Re-identifying the Trajectories of 100K Real Users in Japan” can be accessed at https://arxiv.org/abs/2506.05611.
• [Jun-25] Our paper “FADE: Federated Aggregation with Discrimination Elimination” has been accepted at FAccT 2025 and can be accessed at https://hal.science/hal-05105146/.
• [May-25] Our paper “Group fairness under obfuscated sensitive information” has been accepted at the Journal of Computer Security and can be accessed at https://inria.hal.science/hal-05070800/.
• [Apr-25] Our Chair project “Responsible AI: Design, Regulation, and Conformity (RAIDAC+)” along with Théodore Christakis has been accepted for funding by the MIAI Cluster Chair Call.
• [Mar-25] Our new pre-print paper “Revisiting Locally Differentially Private Protocols: Towards Better Trade-offs in Privacy, Utility, and Attack Resistance” can be accessed at https://arxiv.org/abs/2503.01482.
• [Mar-25] I’ll give a Keynote talk on “An Introduction to Privacy-Preserving Data Analytics” at the 5th Inria-DFKI European Summer School on AI (IDESSAI 2025).
• [Feb-25] I’ll give a Keynote talk on “Intersections of Fairness and Privacy: A Local Differential Privacy Perspective” at the 9th GDR RSD/ASF Winter School on Distributed Systems & Networks 2025.
• [Dec-24] I’ll be serving in the (Privacy and Anonymity Track) PC of the ACM Conference on Computer and Communications Security (CCS 2025).
• [Oct-24] My project “AI-PULSE: Aligning Privacy, UtiLity, and FairnesS for ResponsiblE AI”, accepted for funding by the ANR AAPG (JCJC - Young researchers) call, is officially started.
• [Sep-24] Our paper “Nob-MIAs: Non-biased Membership Inference Attacks Assessment on Large Language Models with Ex-Post Dataset Construction” has been accepted at WISE 2024 and can be accessed at https://arxiv.org/abs/2408.05968.

Contact

I am always happy to discuss the possibility of new collaborations.

• Email: heber.hwang-arcolezi@inria.fr
• Postal Address: 655 Av. de l’Europe, 38330 Montbonnot-Saint-Martin, France.

Last update: Dec 9, 2025.