Researcher at PMLC Lab, Sejong University. Working on verifiable and privacy-preserving computation, with broader interests in applied cryptography and AI security. M.S. CS, Georgia Tech.
Here I keep informal notes and concept breakdowns as I learn — definitions, intuitions, and connections I find useful to revisit.
Core Focus: Cryptography and Privacy-Preserving Machine Learning
From cryptographic primitives to privacy-preserving techniques in machine learning, these notes reflect my ongoing effort to build intuition beyond what papers formally explain.
Rather than full paper reviews, each entry captures a concept, a question, or a connection I encountered while reading — written to help myself think more clearly.
This post is based on The Beginner’s Textbook for Fully Homomorphic Encryption by Ronny Ko. In this post, I provide a summary and review of “II. Post-quantum Cryptography: B-4. GLWE Cryptosystem.”
This post is based on The Beginner’s Textbook for Fully Homomorphic Encryption by Ronny Ko. In this post, I provide a summary and review of “II. Post-quantum Cryptography: B-3. RLWE Cryptosystem.”
This post is based on The Beginner’s Textbook for Fully Homomorphic Encryption by Ronny Ko. In this post, I provide a summary and review of “II. Post-quantum Cryptography: B-2. LWE Cryptosystem.”
This post is based on The Beginner’s Textbook for Fully Homomorphic Encryption by Ronny Ko. In this post, I provide a summary and review of “II. Post-quantum Cryptography: B-1. Lattice-based Cryptography.”