Privacy

Compositional Abstractions for Computing Under Ignorance: Or, What I Learned by Analyzing My Own Research as Data

I asked an AI to brutally analyze my entire body of work—140+ repositories, 50+ papers, a decade and a half of research. The assignment: find the patterns I couldn’t see, the obsessions I didn’t know I had, the unifying thesis underlying …

Asymptotic Indistinguishability: Privacy Through Rank-Deficient Observations

Bernoulli Types: A New Foundation for Approximate and Oblivious Computing

I’ve been working on a series of papers that develop a unified theoretical framework for approximate and oblivious computing, centered around what I call Bernoulli types. These papers explore how we can build rigorous foundations for systems …

CTK: Conversation Toolkit for Managing AI Conversations Across All Platforms

A powerful, plugin-based system for managing AI conversations from multiple providers. Import, store, search, and export conversations in a unified tree format while preserving provider-specific details. Built for the Long Echo project—preserving AI …

IEEE Paper: Estimating How Confidential Encrypted Searches Are Using Moving Average Bootstrap Method

Published IEEE paper on using bootstrap methods to estimate encrypted search confidentiality against frequency attacks.