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1810.08130
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Private Machine Learning in TensorFlow using Secure Computation
18 October 2018
Morten Dahl
Jason V. Mancuso
Yann Dupis
Ben Decoste
Morgan Giraud
Ian Livingstone
Justin Patriquin
Gavin Uhma
FedML
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Papers citing
"Private Machine Learning in TensorFlow using Secure Computation"
33 / 33 papers shown
EVA-S2PMLP: Secure and Scalable Two-Party MLP via Spatial Transformation
Shizhao Peng
Shoumo Li
Tianle Tao
103
0
0
18 Jun 2025
Covert Attacks on Machine Learning Training in Passively Secure MPC
IACR Cryptology ePrint Archive (IACR ePrint), 2025
Matthew Jagielski
Daniel Escudero
Rahul Rachuri
Peter Scholl
304
0
0
21 May 2025
HawkEye: Statically and Accurately Profiling the Communication Cost of Models in Multi-party Learning
Wenqiang Ruan
Xin Lin
Ruisheng Zhou
Guopeng Lin
Shui Yu
Weili Han
276
1
0
16 Feb 2025
Wildest Dreams: Reproducible Research in Privacy-preserving Neural Network Training
Tanveer Khan
Mindaugas Budzys
Khoa Nguyen
A. Michalas
155
3
0
06 Mar 2024
Seagull: Privacy preserving network verification system
Jaber Daneshamooz
Melody Yu
Sucheer Maddury
81
2
0
14 Feb 2024
XAI for time-series classification leveraging image highlight methods
International ACM Conference on Management of Emergent Digital EcoSystems (MEDES), 2023
Georgios Makridis
G. Fatouros
Vasileios Koukos
Dimitrios Kotios
D. Kyriazis
Ioannis Soldatos
AI4TS
193
2
0
28 Nov 2023
Hijack Vertical Federated Learning Models As One Party
IEEE Transactions on Dependable and Secure Computing (TDSC), 2022
Pengyu Qiu
Xuhong Zhang
R. Beyah
Changjiang Li
Yuwen Pu
Xing Yang
Ting Wang
FedML
231
12
0
01 Dec 2022
pMPL: A Robust Multi-Party Learning Framework with a Privileged Party
Conference on Computer and Communications Security (CCS), 2022
Lushan Song
Jiaxuan Wang
Zhexuan Wang
Xinyu Tu
Guopeng Lin
Wenqiang Ruan
Haoqi Wu
Wei Han
310
26
0
02 Oct 2022
Efficient ML Models for Practical Secure Inference
Vinod Ganesan
Anwesh Bhattacharya
Pratyush Kumar
Divya Gupta
Rahul Sharma
Nishanth Chandran
MedIm
273
5
0
26 Aug 2022
Private, Efficient, and Accurate: Protecting Models Trained by Multi-party Learning with Differential Privacy
IEEE Symposium on Security and Privacy (IEEE S&P), 2022
Wenqiang Ruan
Ming Xu
Wenjing Fang
Li Wang
Lei Wang
Wei Han
194
20
0
18 Aug 2022
Evaluating Privacy-Preserving Machine Learning in Critical Infrastructures: A Case Study on Time-Series Classification
IEEE Transactions on Industrial Informatics (TII), 2021
Dominique Mercier
Adriano Lucieri
Mohsin Munir
Andreas Dengel
Sheraz Ahmed
123
18
0
29 Nov 2021
Towards General-purpose Infrastructure for Protecting Scientific Data Under Study
Andrew Trask
Kritika Prakash
252
3
0
04 Oct 2021
Morse-STF: Improved Protocols for Privacy-Preserving Machine Learning
Qizhi Zhang
Sijun Tan
Lichun Li
Yun Zhao
Dong Yin
Shan Yin
140
1
0
24 Sep 2021
Privacy-preserving Machine Learning for Medical Image Classification
Shreyansh Singh
K. Shukla
89
6
0
29 Aug 2021
Secure Quantized Training for Deep Learning
Marcel Keller
Ke Sun
MQ
220
75
0
01 Jul 2021
Enabling Homomorphically Encrypted Inference for Large DNN Models
IEEE transactions on computers (IEEE Trans. Comput.), 2021
Guillermo Lloret-Talavera
Marc Jordà
Harald Servat
Fabian Boemer
C. Chauhan
S. Tomishima
Nilesh N. Shah
Antonio J. Peña
AI4CE
FedML
215
33
0
30 Mar 2021
Efficient CNN Building Blocks for Encrypted Data
Nayna Jain
Karthik Nandakumar
Nalini Ratha
Sharath Pankanti
U. Kumar
FedML
178
15
0
30 Jan 2021
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
159
13
0
09 Dec 2020
Practical Privacy-Preserving Data Science With Homomorphic Encryption: An Overview
Michela Iezzi
77
43
0
13 Nov 2020
A Scalable Approach for Privacy-Preserving Collaborative Machine Learning
Jinhyun So
Başak Güler
A. Avestimehr
FedML
183
54
0
03 Nov 2020
Analog Lagrange Coded Computing
M. Soleymani
Hessam Mahdavifar
A. Avestimehr
256
56
0
19 Aug 2020
Trustworthy AI Inference Systems: An Industry Research View
Rosario Cammarota
M. Schunter
Anand Rajan
Fabian Boemer
Ágnes Kiss
...
Aydin Aysu
Fateme S. Hosseini
Chengmo Yang
Eric Wallace
Pam Norton
234
17
0
10 Aug 2020
Privacy-Preserving Distributed Learning in the Analog Domain
M. Soleymani
Hessam Mahdavifar
A. Avestimehr
133
21
0
17 Jul 2020
Offline Model Guard: Secure and Private ML on Mobile Devices
Sebastian P. Bayerl
Tommaso Frassetto
Patrick Jauernig
Korbinian Riedhammer
A. Sadeghi
T. Schneider
Emmanuel Stapf
Christian Weinert
OffRL
194
50
0
05 Jul 2020
Benchmarking Differentially Private Residual Networks for Medical Imagery
Sahib Singh
Harshvardhan Digvijay Sikka
Sasikanth Kotti
Andrew Trask
327
8
0
27 May 2020
Corella: A Private Multi Server Learning Approach based on Correlated Queries
H. Ehteram
M. Maddah-ali
Mahtab Mirmohseni
156
0
0
26 Mar 2020
Privacy-preserving collaborative machine learning on genomic data using TensorFlow
IACR Cryptology ePrint Archive (IACR ePrint), 2020
Cheng Hong
Zhicong Huang
Wen-jie Lu
Hunter Qu
Li Ma
Morten Dahl
Jason V. Mancuso
147
18
0
11 Feb 2020
CryptoSPN: Privacy-preserving Sum-Product Network Inference
European Conference on Artificial Intelligence (ECAI), 2020
Amos Treiber
Alejandro Molina
Christian Weinert
T. Schneider
Kristian Kersting
140
11
0
03 Feb 2020
Secure Evaluation of Quantized Neural Networks
IACR Cryptology ePrint Archive (IACR ePrint), 2019
Anders Dalskov
Daniel E. Escudero
Marcel Keller
332
152
0
28 Oct 2019
CrypTFlow: Secure TensorFlow Inference
IEEE Symposium on Security and Privacy (IEEE S&P), 2019
Nishant Kumar
Mayank Rathee
Nishanth Chandran
Divya Gupta
Aseem Rastogi
Rahul Sharma
304
264
0
16 Sep 2019
SEALion: a Framework for Neural Network Inference on Encrypted Data
Tim van Elsloo
Giorgio Patrini
Hamish Ivey-Law
FedML
211
49
0
29 Apr 2019
CodedPrivateML: A Fast and Privacy-Preserving Framework for Distributed Machine Learning
IEEE Journal on Selected Areas in Information Theory (JSAIT), 2019
Jinhyun So
Başak Güler
A. Avestimehr
FedML
254
125
0
02 Feb 2019
nGraph-HE: A Graph Compiler for Deep Learning on Homomorphically Encrypted Data
Fabian Boemer
Yixing Lao
Rosario Cammarota
Casimir Wierzynski
FedML
306
181
0
23 Oct 2018
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