3 citations · 5 across the 6 of their papers we have counts for
6 papers
Jaguar: Fast Private CNN Inference with Power-of-Two Homomorphic Arithmetic
Yewon Jeong, Nayoung Jung, Hyeri Roh +1
Hybrid HE/2PC private CNN inference remains bottlenecked by prime-modulus homomorphic arithmetic in convolution and by a precision flow that runs ReLU at doubled bitwidth before in…
A 0.65-pJ/bit 3.6-TB/s/mm I/O Interface with XTalk Minimizing Affine Signaling for Next-Generation HBM with High Interconnect Density
Hyunjun Park, Jiwon Shin, Hanseok Kim +5
This paper presents an I/O interface with Xtalk Minimizing Affine Signaling (XMAS), which is designed to support high-speed data transmission in die-to-die communication over silic…
Flash: A Hybrid Private Inference Protocol for Deep CNNs with High Accuracy and Low Latency on CPU
Hyeri Roh, Jinsu Yeo, Yeongil Ko +3
This paper presents Flash, an optimized private inference (PI) hybrid protocol utilizing both homomorphic encryption (HE) and secure two-party computation (2PC), which can reduce t…
Hyena: Optimizing Homomorphically Encrypted Convolution for Private CNN Inference
Hyeri Roh, Woo-Seok Choi
Private inference using homomorphic encryption has gained a great attention to leverage powerful predictive models, e.g., deep convolutional neural networks (CNNs), in the area whe…
NeuralEQ: Neural-Network-Based Equalizer for High-Speed Wireline Communication
Hanseok Kim, Jae Hyung Ju, Hyun Seok Choi +2
With the growing demand for high-bandwidth applications like video streaming and cloud services, the data transfer rates required for wireline communication keeps increasing, makin…
A Context-Aware Readout System for Sparse Touch Sensing Array Using Ultra-low-power Always-on Event Detection
Hyeri Roh, Woo-Seok Choi
Increasing demand for larger touch screen panels (TSPs) places more energy burden to mobile systems with conventional sensing methods. To mitigate this problem, taking advantage of…