On Polynomial Approximations for Privacy-Preserving and Verifiable ReLU Networks

11 November 2020

Papers citing "On Polynomial Approximations for Privacy-Preserving and Verifiable ReLU Networks"

9 / 9 papers shown

Title
On the Fourier analysis in the SO(3) space : EquiLoPO Network Dmitrii Zhemchuzhnikov Sergei Grudinin 30 0 0 24 Apr 2024
All Rivers Run to the Sea: Private Learning with Asymmetric Flows Yue Niu Ramy E. Ali Saurav Prakash Salman Avestimehr FedML 23 2 0 05 Dec 2023
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 44 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 26 3 0 20 Sep 2022
On Regularizing Coordinate-MLPs Sameera Ramasinghe L. MacDonald Simon Lucey 156 5 0 01 Feb 2022
Private Retrieval, Computing and Learning: Recent Progress and Future Challenges S. Ulukus Salman Avestimehr Michael C. Gastpar S. Jafar Ravi Tandon Chao Tian FedML 25 64 0 30 Jul 2021
Fully Homomorphically Encrypted Deep Learning as a Service George Onoufriou Paul Mayfield Georgios Leontidis FedML 6 19 0 26 Jul 2021
A Vertical Federated Learning Framework for Graph Convolutional Network Xiang Ni Xiaolong Xu Lingjuan Lyu Changhua Meng Weiqiang Wang FedML 19 36 0 22 Jun 2021
VeriML: Enabling Integrity Assurances and Fair Payments for Machine Learning as a Service Lingchen Zhao Qian Wang Cong Wang Qi Li Chao Shen Xiaodong Lin Bo Feng Minxin Du VLM 13 86 0 16 Sep 2019