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20182024
most citedCorona: System Implications of Emerging Nanophotonic Technology

462 citations · 1.2k across the 16 of their papers we have counts for

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Showing cs.CRShow all

8 papers · 1 filter

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.CR2023★ 32 cited

HyPHEN: A Hybrid Packing Method and Optimizations for Homomorphic Encryption-Based Neural Networks

Donghwan Kim, Jaiyoung Park, Jongmin Kim +2

Convolutional neural network (CNN) inference using fully homomorphic encryption (FHE) is a promising private inference (PI) solution due to the capability of FHE that enables offlo…

cs.CR2022★ 155 cited

ARK: Fully Homomorphic Encryption Accelerator with Runtime Data Generation and Inter-Operation Key Reuse

Jongmin Kim, Gwangho Lee, Sangpyo Kim +4

Homomorphic Encryption (HE) is one of the most promising post-quantum cryptographic schemes that enable privacy-preserving computation on servers. However, noise accumulates as we…

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.CR2020★ 68 cited

Accelerating Number Theoretic Transformations for Bootstrappable Homomorphic Encryption on GPUs

Sangpyo Kim, Wonkyung Jung, Jaiyoung Park +1

Homomorphic encryption (HE) draws huge attention as it provides a way of privacy-preserving computations on encrypted messages. Number Theoretic Transform (NTT), a specialized form…