Flight Simulation and the Evaluation of Learning Systems
General engineering considerations for evaluating learning systems in simulation, with a proposed research direction and its evidence limits.
Field Notes
Field notes on ML security, real-time and distributed systems, and the research behind my papers, written for researchers and engineering leaders. For longer-form parables, see the Essays; for animated explainers, the Research Lab; for personal notes, Personal.
Y Combinator and DNA: Fixed Points in Code and Biology
It started while I was nursing a Saturday-morning coffee and catching up on YouTube. Around the 11:20 mark of this talk, the speaker described the choreograp…
Proof of Learning: Building Trust in Future Machine Learning
Proof of Learning (PoL) verifies that a model was genuinely trained on claimed data by providing verifiable evidence of the training process. I first felt th…
Model Watermarking and the Future of Trustworthy AI
Model watermarking embeds identifiable patterns into a model’s parameters or outputs so that ownership can be demonstrated without access to the original tra…
Blockchain Oracles and Smart Contracts: The World’s Agile Board
Traditional agile boards depend on centralized tools and manual updates. As projects span multiple organizations and trust boundaries, these boards struggle …
Blockchain-Enhanced Machine Learning: Linking Trust, Data, and Incentives
How blockchain’s immutable ledgers and decentralized governance address auditability, provenance, and incentive-alignment challenges in machine-learning pipelines.
Mission-Control Engineering and Autonomous Systems
Lessons and research questions from mission-control software work, with clear boundaries between engineering experience and future autonomy research.
Adversarial Examples for Proof of Learning
Code for paper ‘Adversary examples’ for Proof of Learning
SecurePoL with Watermarking
Official code & experiments for my PhD dissertation: ‘Enhancing Security of Proof-of-Learning Against Spoofing Attacks Using Advanced Model Watermarking.’
Image Measurement with PyQt5: A Cardiology Aid
A clinician-calibrated EKG image measurement tool, and how its verified measurements can support human-in-the-loop clinical computer vision.
Presenting at ICISSP 2021: rare-event detection in a low-resource language
The talk behind the ICISSP 2021 paper: what an agglutinative language does to keyword detection, and what the sample run measured.
MS Thesis
My Master of Science Thesis Project related researches, projects and documents.
Secure Proxy on Cloud Paper Demonstration
Video demonstration of the Secure Proxy on Cloud paper, covering architecture motivation, implementation details, and development roadmap.