Here are some publications I've worked on. I'll try to keep this updated as I work on new things.
Knowledge bases in logic programming grow through fact accumulation but do not learn. We present DreamLog, a system that compresses its knowledge base through wake-sleep cycles, discovering rules that generalize to unseen entities. On a synthetic crafting domain with invented terms unknown to the …
We investigate whether AI conversation archives contain hierarchical structure analogous to human semantic memory. From a longitudinal archive of 1,908 ChatGPT conversations spanning 29 months, we extract semantic concepts using LLM-based analysis, embed them in a 768-dimensional semantic space, and …
How does a person's knowledge landscape evolve through sustained AI-assisted conversation? We extend our cognitive MRI methodology to the temporal domain, tracking how a semantic similarity network grows over 29 months across 1,908 ChatGPT conversations. The network exhibits super-linear …
Through a single-user case study of 449 ChatGPT conversations, we introduce a cognitive MRI applying network analysis to reveal thought topology hidden in linear conversation logs. We construct semantic similarity networks with user-weighted embeddings to identify knowledge communities and bridge …
This paper presents a novel approach to preventing ransomware damages through in-operation off-site backup systems designed to achieve an exceptionally low false-negative miss-detection rate of 10⁻⁸.
How do you store infinity in 256 bits? This paper explores the fundamental deception at the heart of computational cryptography: using finite information to simulate infinite randomness. We prove why true random oracles are impossible, then show how lazy evaluation creates a beautiful lie—a finite …
This paper investigates maximum likelihood techniques to estimate component reliability from masked failure data in series systems. A likelihood model accounts for right-censoring and candidate sets indicative of masked failure causes. Extensive simulation studies assess the accuracy and precision …
This paper applies an approach of resilience engineering in studying how effective encrypted searches will be. One of the concerns on encrypted searches is frequency attacks. In frequency attacks, adversaries guess the meaning of the encrypted words by observing a large number of encrypted words in …
Encrypted Search, a technique for securely searching documents on untrusted systems. The author designs and compares several secure index types to determine their performance in terms of time complexity, space complexity, and retrieval accuracy. The study also examines the risk to confidentiality …