Whitepapers
Access a wealth of valuable resources below.
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
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.
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.
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.
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.
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.
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.
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.
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Let's Talk
Have any extra questions or need a demo? Drop us a message and let's discuss.
Or drop a message to
hello@oblivious.com
Let's Talk
Have any extra questions or need a demo? Drop us a message and let's discuss.
Or drop a message to