Robin Carpentier

Privacy Researcher at Macquarie University

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I am a Research Fellow at the Cyber Security Hub of Macquarie University in Australia. My main research interest is Data Privacy. Specifically, I am involved in designing practical systems that enable the effective use of privacy-enhancing technologies (PETs) by individuals and organizations.

My current work lies at the intersection of privacy, security, and machine learning, where I study how to safeguard privacy in the use of Large Language Models, for example through text sanitization techniques and Trusted Execution Environments. Previously, I worked on Personal Data Management Systems, a paradigm aimed at empowering individuals to control, protect, and leverage their personal data.

News

Sep 01, 2025 The Privacy Enhancing Technologies Symposium (PETS 2026) has accepted our article “dx-Privacy for Text and the Curse of Dimensionality”.
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 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

  1. dX-privacy for Text and the Curse of Dimensionality
    Hassan Jameel Asghar, Robin Carpentier, Benjamin Zi Hao Zhao, and Dali Kaafar
    In Proceedings on Privacy Enhancing Technologies (PoPETS), 2026
  2. 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