Oblivious Computing: Privacy Through Approximation
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I asked an AI to analyze 140+ repos and 50+ papers as a dataset. The unifying thesis it found: compositional abstractions for computing under ignorance.
A plugin-based toolkit for managing AI conversations from multiple providers. Import, store, search, and export conversations in a unified tree format. Built for the Long Echo project.
Rank-ordered search over encrypted documents using oblivious entropy maps, enabling relevance scoring without revealing document contents.
My first IEEE publication. Using bootstrap methods to estimate how many queries an adversary needs to break encrypted search.