SecGNN: Privacy-Preserving Graph Neural Network Training and Inference as a Cloud Service

16 February 2022

Papers citing "SecGNN: Privacy-Preserving Graph Neural Network Training and Inference as a Cloud Service"

8 / 8 papers shown

Title
Use of Graph Neural Networks in Aiding Defensive Cyber Operations Shaswata Mitra Trisha Chakraborty Subash Neupane Aritran Piplai Sudip Mittal AAML 42 3 0 11 Jan 2024
A Survey on Privacy in Graph Neural Networks: Attacks, Preservation, and Applications Yi Zhang Yuying Zhao Zhaoqing Li Xueqi Cheng Yu-Chiang Frank Wang Olivera Kotevska Philip S. Yu Tyler Derr 26 10 0 31 Aug 2023
OblivGM: Oblivious Attributed Subgraph Matching as a Cloud Service Songlei Wang Yifeng Zheng Xiaohua Jia Hejiao Huang Cong Wang 31 13 0 08 Sep 2022
Trustworthy Graph Neural Networks: Aspects, Methods and Trends He Zhang Bang Wu Xingliang Yuan Shirui Pan Hanghang Tong Jian Pei 45 104 0 16 May 2022
CryptGPU: Fast Privacy-Preserving Machine Learning on the GPU Sijun Tan Brian Knott Yuan Tian David J. Wu BDL FedML 57 183 0 22 Apr 2021
Lightweight Techniques for Private Heavy Hitters Dan Boneh Elette Boyle Henry Corrigan-Gibbs N. Gilboa Yuval Ishai 24 105 0 29 Dec 2020
CrypTFlow2: Practical 2-Party Secure Inference Deevashwer Rathee Mayank Rathee Nishant Kumar Nishanth Chandran Divya Gupta Aseem Rastogi Rahul Sharma 87 301 0 13 Oct 2020
CrypTFlow: Secure TensorFlow Inference Nishant Kumar Mayank Rathee Nishanth Chandran Divya Gupta Aseem Rastogi Rahul Sharma 99 235 0 16 Sep 2019