Impala: Low-Latency, Communication-Efficient Private Deep Learning
Inference

Impala: Low-Latency, Communication-Efficient Private Deep Learning Inference

13 May 2022

David Brooks

Papers citing "Impala: Low-Latency, Communication-Efficient Private Deep Learning Inference"

5 / 5 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 82 2 0 20 Jan 2025
HEQuant: Marrying Homomorphic Encryption and Quantization for Communication-Efficient Private Inference Tianshi Xu Meng Li Runsheng Wang 42 0 0 29 Jan 2024
Hyena: Optimizing Homomorphically Encrypted Convolution for Private CNN Inference H. Roh Woo-Seok Choi 52 1 0 21 Nov 2023
Falcon: Accelerating Homomorphically Encrypted Convolutions for Efficient Private Mobile Network Inference Tianshi Xu Meng Li Runsheng Wang R. Huang FedML 27 6 0 25 Aug 2023
Slalom: Fast, Verifiable and Private Execution of Neural Networks in Trusted Hardware Florian Tramèr Dan Boneh FedML 114 395 0 08 Jun 2018