Robin Carpentier: Privacy Researcher at Macquarie University

I am a Research Fellow at the Cyber Security Hub of Macquarie University in Australia. My main research interest is Data Privacy and Security. I am currently working with Large Language Models, specifically the benefits and impact of differential privacy applied on the texts sent to these models.

I obtained my PhD in December 2022 as part of the Inria research institute in France. In the context of Personal Data Management Systems (PDMS) we proposed to leverage Trusted Execution Environments to protect against untrusted computation code running inside the PDMS. We designed efficient computation strategies that consider the unique characteristics of these environments, overall limiting the potential data leakage caused by malicious code.

Before starting my PhD, I obtained a Master of Science from Paris-Saclay University. Specialized in Computer Security, I studied Cryptography; the Security of Web, Application, System, and Network environments; Intrusion Detection; and Secure Programming. During this period I was the recipient of a merit scholarship by the DigiCosme laboratory of excellence.

News

Dec 14, 2024	The DAPD journal has accepted our article titled “Enabling Secure Data-Driven Applications: an Approach to Personal Data Management Using Trusted Execution Environments”.
Nov 21, 2024	Our preprint titled “\(d_\mathcal{X}\)-Privacy for Text and the Curse of Dimensionality” is available.
Nov 18, 2024	Our preprint titled “Preempting Text Sanitization Utility in Resource-Constrained Privacy-Preserving LLM Interactions” is available.
Dec 04, 2023	I started a new role as Research Fellow at Macquarie University, Sydney!
Dec 14, 2022	I successfully defended my PhD Thesis!

Selected Publications

Enabling Secure Data-Driven Applications: an Approach to Personal Data Management Using Trusted Execution Environments

Robin Carpentier, Iulian Sandu Popa, and Nicolas Anciaux

Distributed and Parallel Databases (DAPD), Dec 2024

HTML DOI Bib

@article{carpentier2024enabling,
  title = {Enabling Secure Data-Driven Applications: an Approach to Personal Data Management Using Trusted Execution Environments},
  author = {Carpentier, Robin and Sandu Popa, Iulian and Anciaux, Nicolas},
  journal = {Distributed and Parallel Databases (DAPD)},
  volume = {43},
  number = {1},
  pages = {5},
  year = {2024},
  month = dec,
  doi = {10.1007/s10619-024-07449-1},
}

An Extensive and Secure Personal Data Management System Using SGX

Robin Carpentier, Floris Thiant, Iulian Sandu Popa, Nicolas Anciaux, and Luc Bouganim

In 25th International Conference on Extending Database Technology (EDBT), Mar 2022

PDF DOI Bib Video

@inproceedings{carpentier2022extensive,
  title = {An Extensive and Secure Personal Data Management System Using SGX},
  author = {Carpentier, Robin and Thiant, Floris and Sandu Popa, Iulian and Anciaux, Nicolas and Bouganim, Luc},
  booktitle = {25th International Conference on Extending Database Technology (EDBT)},
  year = {2022},
  month = mar,
  doi = {10.48786/edbt.2022.53},
}