activity
20162025
most citedBTS: An Accelerator for Bootstrappable Fully Homomorphic Encryption

180 citations · 211 across the 9 of their papers we have counts for

collaborators

10 papers

cs.AR2025

RoMe: Row Granularity Access Memory System for Large Language Models

Hwayong Nam, Seungmin Baek, Jumin Kim +2

Modern HBM-based memory systems have evolved over generations while retaining cache line granularity accesses. Preserving this fine granularity necessitated the introduction of ban…

cs.CR2025

SoK: Systematizing a Decade of Architectural RowHammer Defenses Through the Lens of Streaming Algorithms

Michael Jaemin Kim, Seungmin Baek, Jumin Kim +3

A decade after its academic introduction, RowHammer (RH) remains a moving target that continues to challenge both the industry and academia. With its potential to serve as a critic…

cs.AR2025★ 6 cited

Per-Row Activation Counting on Real Hardware: Demystifying Performance Overheads

Jumin Kim, Seungmin Baek, Minbok Wi +5

Per-Row Activation Counting (PRAC), a DRAM read disturbance mitigation method, modifies key DRAM timing parameters, reportedly causing significant performance overheads in simulato…

cs.CR2024★ 1 cited

DRAMScope: Uncovering DRAM Microarchitecture and Characteristics by Issuing Memory Commands

Hwayong Nam, Seungmin Baek, Minbok Wi +5

The demand for precise information on DRAM microarchitectures and error characteristics has surged, driven by the need to explore processing in memory, enhance reliability, and mit…

cs.CR2023★ 12 cited

X-ray: Discovering DRAM Internal Structure and Error Characteristics by Issuing Memory Commands

Hwayong Nam, Seungmin Baek, Minbok Wi +5

The demand for accurate information about the internal structure and characteristics of dynamic random-access memory (DRAM) has been on the rise. Recent studies have explored the s…

cs.CR2022★ 8 cited

AESPA: Accuracy Preserving Low-degree Polynomial Activation for Fast Private Inference

Jaiyoung Park, Michael Jaemin Kim, Wonkyung Jung +1

Hybrid private inference (PI) protocol, which synergistically utilizes both multi-party computation (MPC) and homomorphic encryption, is one of the most prominent techniques for PI…

cs.CR2021★ 180 cited

BTS: An Accelerator for Bootstrappable Fully Homomorphic Encryption

Sangpyo Kim, Jongmin Kim, Michael Jaemin Kim +4

Homomorphic encryption (HE) enables the secure offloading of computations to the cloud by providing computation on encrypted data (ciphertexts). HE is based on noisy encryption sch…

cs.CR2021

Mithril: Cooperative Row Hammer Protection on Commodity DRAM Leveraging Managed Refresh

Michael Jaemin Kim, Jaehyun Park, Yeonhong Park +5

Since its public introduction in the mid-2010s, the Row Hammer (RH) phenomenon has drawn significant attention from the research community due to its security implications. Althoug…

cs.LG2021

Generalized Linear Tree Space Nearest Neighbor

Michael Kim

We present a novel method of stacking decision trees by projection into an ordered time split out-of-fold (OOF) one nearest neighbor (1NN) space. The predictions of these one neare…

quant-ph2016★ 4 cited

Developing Quantum Annealer Driven Data Discovery

Joseph Dulny, Michael Kim

Machine learning applications are limited by computational power. In this paper, we gain novel insights into the application of quantum annealing (QA) to machine learning (ML) thro…