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AESPA: Accuracy Preserving Low-degree Polynomial Activation for Fast Private Inference
18 January 2022
J. Park
M. Kim
Wonkyung Jung
Jung Ho Ahn
LLMSV
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Papers citing
"AESPA: Accuracy Preserving Low-degree Polynomial Activation for Fast Private Inference"
4 / 4 papers shown
Title
Flash: A Hybrid Private Inference Protocol for Deep CNNs with High Accuracy and Low Latency on CPU
H. Roh
Jinsu Yeo
Yeongil Ko
Gu-Yeon Wei
David Brooks
Woo-Seok Choi
89
2
0
20 Jan 2025
AutoFHE: Automated Adaption of CNNs for Efficient Evaluation over FHE
Wei Ao
Vishnu Boddeti
AAML
33
18
0
12 Oct 2023
HyPHEN: A Hybrid Packing Method and Optimizations for Homomorphic Encryption-Based Neural Networks
Donghwan Kim
J. Park
Jongmin Kim
Sangpyo Kim
Jung Ho Ahn
27
18
0
05 Feb 2023
Neural Architecture Search with Reinforcement Learning
Barret Zoph
Quoc V. Le
274
5,331
0
05 Nov 2016
1