Výsledky vyhledávání - "Carpentier, Robin"

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$d_X$-Privacy for Text and the Curse of Dimensionality

Autor: Asghar, Hassan Jameel, Carpentier, Robin, Zhao, Benjamin Zi Hao, Kaafar, Dali

A widely used method to ensure privacy of unstructured text data is the multidimensional Laplace mechanism for $d_X$-privacy, which is a relaxation of differential privacy for metric spaces. We identify an intriguing peculiarity of this mechanism. Wh

Externí odkaz: http://arxiv.org/abs/2411.13784

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Preempting Text Sanitization Utility in Resource-Constrained Privacy-Preserving LLM Interactions

Autor: Carpentier, Robin, Zhao, Benjamin Zi Hao, Asghar, Hassan Jameel, Kaafar, Dali

Individuals have been increasingly interacting with online Large Language Models (LLMs), both in their work and personal lives. These interactions raise privacy issues as the LLMs are typically hosted by third-parties who can gather a variety of sens

Externí odkaz: http://arxiv.org/abs/2411.11521

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Calculs tiers respectueux de la vie privée sur des systèmes de gestion de données personnels et sécurisés

Autor: Carpentier, Robin

Publikováno v: Cryptography and Security [cs.CR]. Université Paris-Saclay, 2022. English. ⟨NNT : 2022UPASG079⟩

The privacy of individuals is constantly undermined by some of the most prominent companies in the world. The business of gathering data about people has become gigantic following our extensive reliance on technology in many aspects of our daily live

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::7b66179a8d44fc8fa8aa07f949a91ed1
https://hal.inria.fr/tel-03912320

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Outline: An Extensive and Secure Personal Data Management System Using SGX

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

Publikováno v: 1st CNIL International Privacy Research Day
1st CNIL International Privacy Research Day, Jun 2022, Paris, France.

International audience; Personal Data Management System (PDMS) solutions are currently flourishing, spurred by new privacy regulations such as GDPR and new legal concepts like data altruism. PDMSs aim to empower individuals by providing appropriate t

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=od_______165::0016a97a4255a72d8798e263cdedb94e
https://inria.hal.science/hal-03763815

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An Extensive and Secure Personal Data Management System Using SGX

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

Publikováno v: EDBT 2022-25th International Conference on Extending Database Technology
EDBT 2022-25th International Conference on Extending Database Technology, Mar 2022, Edinburgh / Virtual, United Kingdom
BDA 2022-38ème Conférence sur la Gestion de Données-Principes, Technologie et Applications
BDA 2022-38ème Conférence sur la Gestion de Données-Principes, Technologie et Applications, Oct 2022, Clermont-Ferrand, France. ⟨10.48786/edbt.2022.53⟩
HAL

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::18eb21078e19e77a630e59298ebf99e1
https://inria.hal.science/hal-03580286

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Data Leakage Mitigation of User-Defined Functions on Secure Personal Data Management Systems

Autor: Robin Carpentier, Iulian Sandu Popa, Nicolas Anciaux

Publikováno v: SSDBM 2022-34th International Conference on Scientific and Statistical Database Management
SSDBM 2022-34th International Conference on Scientific and Statistical Database Management, Jul 2022, Copenhagen, Denmark. ⟨10.1145/3538712.3538741⟩
BDA 2022-38ème Conférence sur la Gestion de Données-Principes, Technologie et Applications
BDA 2022-38ème Conférence sur la Gestion de Données-Principes, Technologie et Applications, Oct 2022, Clermont-Ferrand, France

International audience; Personal Data Management Systems (PDMSs) arrive at a rapid pace providing individuals with appropriate tools to collect, manage and share their personal data. At the same time, the emergence of Trusted Execution Environments (

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9cf82a0a25e2abcd9c2df14e37b474f7
https://hal.inria.fr/hal-03941879

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Performance of Large Scale Data-Oriented Operations under the TEE Constraints

Autor: Robin Carpentier, Nicolas Anciaux, Iulian Sandu Popa, Guillaume Scerri

Publikováno v: 34ème Conférence sur la Gestion de Données – Principes, Technologies et Applications (BDA 2018)
34ème Conférence sur la Gestion de Données – Principes, Technologies et Applications (BDA 2018), Oct 2018, Bucharest, Romania
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National audience

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::277651e13d5b538d90f63567e925e351
https://hal.inria.fr/hal-01947896/document

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