TAPAS: Tricks to Accelerate (encrypted) Prediction As a Service

TAPAS: Tricks to Accelerate (encrypted) Prediction As a Service

9 June 2018

Papers citing "TAPAS: Tricks to Accelerate (encrypted) Prediction As a Service"

18 / 18 papers shown

Title
SECO: Secure Inference With Model Splitting Across Multi-Server Hierarchy Shuangyi Chen Ashish Khisti 18 2 0 24 Apr 2024
Linearizing Models for Efficient yet Robust Private Inference Sreetama Sarkar Souvik Kundu Peter A. Beerel AAML 22 0 0 08 Feb 2024
AutoReP: Automatic ReLU Replacement for Fast Private Network Inference Hongwu Peng Shaoyi Huang Tong Zhou Yukui Luo Chenghong Wang ... Tony Geng Kaleel Mahmood Wujie Wen Xiaolin Xu Caiwen Ding OffRL 47 38 0 20 Aug 2023
PolyMPCNet: Towards ReLU-free Neural Architecture Search in Two-party Computation Based Private Inference Hongwu Peng Shangli Zhou Yukui Luo Shijin Duan Nuo Xu ... Tong Geng Ang Li Wujie Wen Xiaolin Xu Caiwen Ding 44 3 0 20 Sep 2022
MPC-Friendly Commitments for Publicly Verifiable Covert Security Nitin Agrawal James Bell Adria Gascon Matt J. Kusner 28 4 0 15 Sep 2021
Precise Approximation of Convolutional Neural Networks for Homomorphically Encrypted Data Junghyun Lee Eunsang Lee Joon-Woo Lee Yongjune Kim Young-Sik Kim Jong-Seon No 24 56 0 23 May 2021
Efficient Encrypted Inference on Ensembles of Decision Trees Kanthi Kiran Sarpatwar Karthik Nandakumar Nalini Ratha J. Rayfield Karthikeyan Shanmugam Sharath Pankanti Roman Vaculin FedML 22 5 0 05 Mar 2021
Exploring Design and Governance Challenges in the Development of Privacy-Preserving Computation Nitin Agrawal Reuben Binns Max Van Kleek Kim Laine N. Shadbolt 26 43 0 20 Jan 2021
Highly Accurate CNN Inference Using Approximate Activation Functions over Homomorphic Encryption Takumi Ishiyama Takuya Suzuki Hayato Yamana 29 37 0 08 Sep 2020
Secure Evaluation of Quantized Neural Networks Anders Dalskov Daniel E. Escudero Marcel Keller 17 138 0 28 Oct 2019
QUOTIENT: Two-Party Secure Neural Network Training and Prediction Nitin Agrawal Ali Shahin Shamsabadi Matt J. Kusner Adria Gascon 30 212 0 08 Jul 2019
BAYHENN: Combining Bayesian Deep Learning and Homomorphic Encryption for Secure DNN Inference Peichen Xie Bingzhe Wu Guangyu Sun BDL FedML 19 33 0 03 Jun 2019
SHE: A Fast and Accurate Deep Neural Network for Encrypted Data Qian Lou Lei Jiang 21 120 0 01 Jun 2019
SEALion: a Framework for Neural Network Inference on Encrypted Data Tim van Elsloo Giorgio Patrini Hamish Ivey-Law FedML 30 42 0 29 Apr 2019
XONN: XNOR-based Oblivious Deep Neural Network Inference M. Riazi Mohammad Samragh Hao Chen Kim Laine Kristin E. Lauter F. Koushanfar FedML GNN BDL 31 280 0 19 Feb 2019
MOBIUS: Model-Oblivious Binarized Neural Networks Hiromasa Kitai Jason Paul Cruz Naoto Yanai Naohisa Nishida Tatsumi Oba Yuji Unagami Tadanori Teruya Nuttapong Attrapadung Takahiro Matsuda Goichiro Hanaoka 24 7 0 29 Nov 2018
Faster CryptoNets: Leveraging Sparsity for Real-World Encrypted Inference Edward Chou Josh Beal Daniel Levy Serena Yeung Albert Haque Li Fei-Fei 32 198 0 25 Nov 2018
nGraph-HE: A Graph Compiler for Deep Learning on Homomorphically Encrypted Data Fabian Boemer Yixing Lao Rosario Cammarota Casimir Wierzynski FedML 19 163 0 23 Oct 2018