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CrypTFlow: Secure TensorFlow Inference

CrypTFlow: Secure TensorFlow Inference

16 September 2019
Nishant Kumar
Mayank Rathee
Nishanth Chandran
Divya Gupta
Aseem Rastogi
Rahul Sharma
ArXivPDFHTML

Papers citing "CrypTFlow: Secure TensorFlow Inference"

18 / 18 papers shown
Title
TeleSparse: Practical Privacy-Preserving Verification of Deep Neural Networks
TeleSparse: Practical Privacy-Preserving Verification of Deep Neural Networks
Mohammad Maheri
Hamed Haddadi
Alex Davidson
69
0
0
27 Apr 2025
Characterization of GPU TEE Overheads in Distributed Data Parallel ML Training
Characterization of GPU TEE Overheads in Distributed Data Parallel ML Training
Jonghytun Lee
Yongqin Wang
Rachit Rajat
M. Annavaram
53
0
0
20 Jan 2025
Protecting User Privacy in Remote Conversational Systems: A
  Privacy-Preserving framework based on text sanitization
Protecting User Privacy in Remote Conversational Systems: A Privacy-Preserving framework based on text sanitization
Zhigang Kan
Linbo Qiao
Hao Yu
Liwen Peng
Yifu Gao
Dongsheng Li
26
20
0
14 Jun 2023
GTree: GPU-Friendly Privacy-preserving Decision Tree Training and Inference
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
25
0
0
01 May 2023
A Survey of Trustworthy Federated Learning with Perspectives on
  Security, Robustness, and Privacy
A Survey of Trustworthy Federated Learning with Perspectives on Security, Robustness, and Privacy
Yifei Zhang
Dun Zeng
Jinglong Luo
Zenglin Xu
Irwin King
FedML
84
47
0
21 Feb 2023
HyPHEN: A Hybrid Packing Method and Optimizations for Homomorphic
  Encryption-Based Neural Networks
HyPHEN: A Hybrid Packing Method and Optimizations for Homomorphic Encryption-Based Neural Networks
Donghwan Kim
J. Park
Jongmin Kim
Sangpyo Kim
Jung Ho Ahn
16
17
0
05 Feb 2023
Private Multiparty Perception for Navigation
Private Multiparty Perception for Navigation
Hui Lu
Mia Chiquier
Carl Vondrick
EgoV
30
0
0
02 Dec 2022
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
21
3
0
20 Sep 2022
Efficient ML Models for Practical Secure Inference
Efficient ML Models for Practical Secure Inference
Vinod Ganesan
Anwesh Bhattacharya
Pratyush Kumar
Divya Gupta
Rahul Sharma
Nishanth Chandran
MedIm
51
5
0
26 Aug 2022
Trustworthy AI: From Principles to Practices
Trustworthy AI: From Principles to Practices
Bo-wen Li
Peng Qi
Bo Liu
Shuai Di
Jingen Liu
Jiquan Pei
Jinfeng Yi
Bowen Zhou
119
355
0
04 Oct 2021
GALA: Greedy ComputAtion for Linear Algebra in Privacy-Preserved Neural
  Networks
GALA: Greedy ComputAtion for Linear Algebra in Privacy-Preserved Neural Networks
Qiao Zhang
Chunsheng Xin
Hongyi Wu
25
49
0
05 May 2021
CryptGPU: Fast Privacy-Preserving Machine Learning on the GPU
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
Perun: Secure Multi-Stakeholder Machine Learning Framework with GPU
  Support
Perun: Secure Multi-Stakeholder Machine Learning Framework with GPU Support
W. Ożga
D. Quoc
Christof Fetzer
FedML
25
4
0
31 Mar 2021
secureTF: A Secure TensorFlow Framework
secureTF: A Secure TensorFlow Framework
D. Quoc
Franz Gregor
Sergei Arnautov
Roland Kunkel
Pramod Bhatotia
Christof Fetzer
44
40
0
20 Jan 2021
Secure Medical Image Analysis with CrypTFlow
Secure Medical Image Analysis with CrypTFlow
Javier Alvarez-Valle
Pratik Bhatu
Nishanth Chandran
Divya Gupta
A. Nori
Aseem Rastogi
Mayank Rathee
Rahul Sharma
Shubham Ugare
MedIm
8
13
0
09 Dec 2020
ARIANN: Low-Interaction Privacy-Preserving Deep Learning via Function
  Secret Sharing
ARIANN: Low-Interaction Privacy-Preserving Deep Learning via Function Secret Sharing
T. Ryffel
Pierre Tholoniat
D. Pointcheval
Francis R. Bach
FedML
12
94
0
08 Jun 2020
FALCON: Honest-Majority Maliciously Secure Framework for Private Deep
  Learning
FALCON: Honest-Majority Maliciously Secure Framework for Private Deep Learning
Sameer Wagh
Shruti Tople
Fabrice Benhamouda
E. Kushilevitz
Prateek Mittal
T. Rabin
FedML
11
295
0
05 Apr 2020
Slalom: Fast, Verifiable and Private Execution of Neural Networks in
  Trusted Hardware
Slalom: Fast, Verifiable and Private Execution of Neural Networks in Trusted Hardware
Florian Tramèr
Dan Boneh
FedML
114
395
0
08 Jun 2018
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