###### 2024

##### Auditability & Explainability of OBLV Deployments

Technical analysis of the auditability and explainability of the OBLV deployment system, a solution that supports secure computing with enhanced data security and privacy in organisations.

[**Read more**](https://www.oblivious.com/whitepapers/auditability-explainability-of-oblv-deployments)

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###### 2024

##### OBLV Deploy Design Overview Explainability of OBLV Deployments

Design Overview of the OBLV deployment system, a solution that supports secure computing with enhanced data security and privacy in organisations.

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###### 2024

###### In collab with Pento & TU Munich

##### Naturally Private Recommendations with Determinantal Point Processes

This paper shows how Determinantal Point Processes balance content popularity and diversity in recommendations while ensuring differential privacy through specific mechanisms.

[**Read more**](https://arxiv.org/pdf/2405.13677)

###### 2023

###### In collab with The United Nations

##### The United Nations PET Guide for Official Statistics

An overview of privacy-enhancing technologies (PETs) for official statistics, including methodologies, case studies, and standards to mitigate privacy risks during data analysis and dissemination.

[**Read more**](https://unstats.un.org/bigdata/task-teams/privacy/guide/2023_UN%20PET%20Guide.pdf)

###### 2024

###### In collab with Oxford, ETH Zurich, Uni. Maryland

##### A Note on Blind Contact Tracing at Scale with Applications to the COVID-19 Pandemic

This study presents of a cryptographic approach to contact tracing utilising secure two-party computation to maintain privacy.

[**Read more**](https://arxiv.org/pdf/2004.05116)