CryptGPU: Fast Privacy-Preserving Machine Learning on the GPU

22 April 2021

Papers citing "CryptGPU: Fast Privacy-Preserving Machine Learning on the GPU"

23 / 23 papers shown

Title
Covert Attacks on Machine Learning Training in Passively Secure MPC Matthew Jagielski Daniel Escudero Rahul Rachuri Peter Scholl 85 0 0 21 May 2025
VIRGOS: Secure Graph Convolutional Network on Vertically Split Data from Sparse Matrix Decomposition Yu Zheng Qizhi Zhang Lichun Li Kai Zhou Shan Yin GNN 120 0 0 17 Feb 2025
GTree: GPU-Friendly Privacy-preserving Decision Tree Training and Inference Qifan Wang Shujie Cui Lei Zhou Ye Dong Jianli Bai Yun Sing Koh Giovanni Russello 95 1 0 01 May 2023
CrypTen: Secure Multi-Party Computation Meets Machine Learning Brian Knott Shobha Venkataraman Awni Y. Hannun Shubho Sengupta Mark Ibrahim Laurens van der Maaten 90 361 0 02 Sep 2021
BLAZE: Blazing Fast Privacy-Preserving Machine Learning A. Patra Ajith Suresh 65 200 0 18 May 2020
FALCON: Honest-Majority Maliciously Secure Framework for Private Deep Learning Sameer Wagh Shruti Tople Fabrice Benhamouda E. Kushilevitz Prateek Mittal T. Rabin FedML 73 303 0 05 Apr 2020
Trident: Efficient 4PC Framework for Privacy Preserving Machine Learning Harsh Chaudhari Rahul Rachuri Ajith Suresh 83 214 0 05 Dec 2019
ASTRA: High Throughput 3PC over Rings with Application to Secure Prediction Harsh Chaudhari Ashish Choudhury A. Patra Ajith Suresh 68 131 0 05 Dec 2019
PyTorch: An Imperative Style, High-Performance Deep Learning Library Adam Paszke Sam Gross Francisco Massa Adam Lerer James Bradbury ... Sasank Chilamkurthy Benoit Steiner Lu Fang Junjie Bai Soumith Chintala ODL 553 42,639 0 03 Dec 2019
Secure Evaluation of Quantized Neural Networks Anders Dalskov Daniel E. Escudero Marcel Keller 63 143 0 28 Oct 2019
CrypTFlow: Secure TensorFlow Inference Nishant Kumar Mayank Rathee Nishanth Chandran Divya Gupta Aseem Rastogi Rahul Sharma 145 244 0 16 Sep 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 67 282 0 19 Feb 2019
Slalom: Fast, Verifiable and Private Execution of Neural Networks in Trusted Hardware Florian Tramèr Dan Boneh FedML 184 401 0 08 Jun 2018
Gazelle: A Low Latency Framework for Secure Neural Network Inference Chiraag Juvekar Vinod Vaikuntanathan A. Chandrakasan 76 894 0 16 Jan 2018
Chameleon: A Hybrid Secure Computation Framework for Machine Learning Applications M. Riazi Christian Weinert Oleksandr Tkachenko Ebrahim M. Songhori T. Schneider F. Koushanfar FedML 48 495 0 10 Jan 2018
DeepSecure: Scalable Provably-Secure Deep Learning B. Rouhani M. Riazi F. Koushanfar FedML 54 415 0 24 May 2017
Stealing Machine Learning Models via Prediction APIs Florian Tramèr Fan Zhang Ari Juels Michael K. Reiter Thomas Ristenpart SILM MLAU 109 1,811 0 09 Sep 2016
Deep Learning with Differential Privacy Martín Abadi Andy Chu Ian Goodfellow H. B. McMahan Ilya Mironov Kunal Talwar Li Zhang FedML SyDa 216 6,172 0 01 Jul 2016
Deep Residual Learning for Image Recognition Kaiming He Xinming Zhang Shaoqing Ren Jian Sun MedIm 2.2K 194,510 0 10 Dec 2015
Very Deep Convolutional Networks for Large-Scale Image Recognition Karen Simonyan Andrew Zisserman FAtt MDE 1.7K 100,529 0 04 Sep 2014
ImageNet Large Scale Visual Recognition Challenge Olga Russakovsky Jia Deng Hao Su J. Krause S. Satheesh ... A. Karpathy A. Khosla Michael S. Bernstein Alexander C. Berg Li Fei-Fei VLM ObjD 1.7K 39,615 0 01 Sep 2014
Hacking Smart Machines with Smarter Ones: How to Extract Meaningful Data from Machine Learning Classifiers G. Ateniese G. Felici L. Mancini A. Spognardi Antonio Villani Domenico Vitali 90 463 0 19 Jun 2013
Deep Big Simple Neural Nets Excel on Handwritten Digit Recognition D. Ciresan U. Meier L. Gambardella Jürgen Schmidhuber 125 994 0 01 Mar 2010