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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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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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An bachelors seminar on adversarial classification at the InfoSec Department of the University.
A research project me and another student did for our bachelors study in computer sience at the university of stuttgart.
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This is a description of your talk, which is a markdown files that can be all markdown-ified like any other post. Yay markdown!
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This is a description of your conference proceedings talk, note the different field in type. You can put anything in this field.