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).

Currently, my research interests are differential privacy and ethical aspects of machine learning (e.g., privacy, fairness, and explainability).

Recent News

• [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/.
• [May-25] Our new pre-print paper “Fair Play for Individuals, Foul Play for Groups? Auditing Anonymization’s Impact on ML Fairness” can be accessed at https://arxiv.org/abs/2505.07985.
• [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.
• [Aug-24] I’ll give a tutorial on “Securing Data with Local Differential Privacy: Concepts, Protocols, and Practical Applications” at the SAC Summer School (SAC 2024).
• [Aug-24] I’ll be serving in the PC of the 13th International Conference on Learning Representations (ICLR 2025).
• [Aug-24] I’ll be serving in the PC of the 34th USENIX Security Symposium (USENIX Security 2025).
• [May-24] Our paper “Revealing the True Cost of Locally Differentially Private Protocols: An Auditing Perspective” has been accepted at PETS 2024 and can be accessed at https://arxiv.org/abs/2309.01597.

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: June 4th, 2025.