Portfolio

Private Function Evaluation with Oblivious RAM

Published:

My bachelor thesis examines how much Private Function Evalutations, so evaluations computed encrypted by several parties, that mostly do not know the function and only a part of the data, can be simplified and accelerated by using Oblivious Random Access Machines, an encrypted storage.

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Investigating Challenges in Generalizing Neural Radiance Fields with Learned Scene Priors

Published:

This thesis, conducted under the supervision of Shohei Mori at the Visualization Research Center (VISUS), investigates how neural radiance fields (NeRFs) can be extended from single-scene models toward generalizable representations. Such models promise major advantages in precomputability and applicability across autonomous systems, navigation, and immersive AR/VR environments.

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