Falcon: Accelerating Homomorphically Encrypted Convolutions for
Efficient Private Mobile Network Inference

Falcon: Accelerating Homomorphically Encrypted Convolutions for Efficient Private Mobile Network Inference

25 August 2023

Papers citing "Falcon: Accelerating Homomorphically Encrypted Convolutions for Efficient Private Mobile Network Inference"

9 / 9 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 79 2 0 20 Jan 2025
PrivQuant: Communication-Efficient Private Inference with Quantized Network/Protocol Co-Optimization Tianshi Xu Shuzhang Zhong Wenxuan Zeng Runsheng Wang Meng Li MQ 29 0 0 12 Oct 2024
EQO: Exploring Ultra-Efficient Private Inference with Winograd-Based Protocol and Quantization Co-Optimization Wenxuan Zeng Tianshi Xu Meng Li Runsheng Wang MQ 32 0 0 15 Apr 2024
HEQuant: Marrying Homomorphic Encryption and Quantization for Communication-Efficient Private Inference Tianshi Xu Meng Li Runsheng Wang 37 0 0 29 Jan 2024
Hyena: Optimizing Homomorphically Encrypted Convolution for Private CNN Inference H. Roh Woo-Seok Choi 45 1 0 21 Nov 2023
Impala: Low-Latency, Communication-Efficient Private Deep Learning Inference Woojin Choi Brandon Reagen Gu-Yeon Wei David Brooks FedML 45 7 0 13 May 2022
CrypTFlow2: Practical 2-Party Secure Inference Deevashwer Rathee Mayank Rathee Nishant Kumar Nishanth Chandran Divya Gupta Aseem Rastogi Rahul Sharma 81 301 0 13 Oct 2020
CrypTFlow: Secure TensorFlow Inference Nishant Kumar Mayank Rathee Nishanth Chandran Divya Gupta Aseem Rastogi Rahul Sharma 96 235 0 16 Sep 2019
MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications Andrew G. Howard Menglong Zhu Bo Chen Dmitry Kalenichenko Weijun Wang Tobias Weyand M. Andreetto Hartwig Adam 3DH 950 20,561 0 17 Apr 2017