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1908.04172
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nGraph-HE2: A High-Throughput Framework for Neural Network Inference on Encrypted Data
IACR Cryptology ePrint Archive (IACR ePrint), 2019
12 August 2019
Fabian Boemer
Anamaria Costache
Rosario Cammarota
Casimir Wierzynski
GNN
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Papers citing
"nGraph-HE2: A High-Throughput Framework for Neural Network Inference on Encrypted Data"
45 / 45 papers shown
HEIR: A Universal Compiler for Homomorphic Encryption
Asra Ali
Jaeho Choi
Bryant Gipson
Shruthi Gorantala
Jeremy Kun
Wouter Legiest
Lawrence Lim
Alexander Viand
Meron Zerihun Demissie
Hongren Zheng
52
4
0
14 Aug 2025
HE-LRM: Encrypted Deep Learning Recommendation Models using Fully Homomorphic Encryption
Karthik Garimella
Austin Ebel
Gabrielle De Micheli
Brandon Reagen
FedML
204
4
0
22 Jun 2025
A Training Framework for Optimal and Stable Training of Polynomial Neural Networks
Forsad Al Hossain
Tauhidur Rahman
150
0
0
16 May 2025
Flash: A Hybrid Private Inference Protocol for Deep CNNs with High Accuracy and Low Latency on CPU
H. Roh
Jinsu Yeo
Yeongil Ko
Gu-Yeon Wei
David Brooks
Woo-Seok Choi
371
2
0
20 Jan 2025
CBNN: 3-Party Secure Framework for Customized Binary Neural Networks Inference
Shiwen Wei
Zhili Chen
Xin Chen
Shiwen Wei
Jie Fu
Huifa Li
230
1
0
21 Dec 2024
Enabling Practical and Privacy-Preserving Image Processing
Chao Wang
Shubing Yang
Xiaoyan Sun
Jun Dai
Dongfang Zhao
PICV
159
3
0
05 Sep 2024
Speed-up of Data Analysis with Kernel Trick in Encrypted Domain
ACM Symposium on Applied Computing (SAC), 2024
Joon Soo Yoo
B. Song
Tae Min Ahn
Ji Won Heo
Ji Won Yoon
144
0
0
14 Jun 2024
Taiyi: A high-performance CKKS accelerator for Practical Fully Homomorphic Encryption
Shengyu Fan
Xianglong Deng
Zhuoyu Tian
Zhicheng Hu
Liang Chang
Rui Hou
Dan Meng
Mingzhe Zhang
255
3
0
15 Mar 2024
Privacy-Preserving Diffusion Model Using Homomorphic Encryption
Yaojian Chen
Qiben Yan
209
9
0
09 Mar 2024
Bi-CryptoNets: Leveraging Different-Level Privacy for Encrypted Inference
Man-Jie Yuan
Zheng Zou
Wei Gao
116
0
0
02 Feb 2024
A Compiler from Array Programs to Vectorized Homomorphic Encryption
Rolph Recto
Andrew C. Myers
159
3
0
10 Nov 2023
slytHErin: An Agile Framework for Encrypted Deep Neural Network Inference
Francesco Intoci
Sinem Sav
Apostolos Pyrgelis
Jean-Philippe Bossuat
J. Troncoso-Pastoriza
Jean-Pierre Hubaux
FedML
171
1
0
01 May 2023
Training Large Scale Polynomial CNNs for E2E Inference over Homomorphic Encryption
Moran Baruch
Nir Drucker
Gilad Ezov
Yoav Goldberg
Eyal Kushnir
Jenny Lerner
Omri Soceanu
Itamar Zimerman
275
7
0
26 Apr 2023
RPU: The Ring Processing Unit
IEEE International Symposium on Performance Analysis of Systems and Software (ISPASS), 2023
Deepraj Soni
Negar Neda
Naifeng Zhang
Benedict Reynwar
Homer Gamil
...
David Cousins
F. Franchetti
M. French
A. Schmidt
Brandon Reagen
182
16
0
30 Mar 2023
Towards Automated Homomorphic Encryption Parameter Selection with Fuzzy Logic and Linear Programming
Expert systems with applications (ESWA), 2023
José Cabrero-Holgueras
S. Pastrana
151
8
0
17 Feb 2023
HE-MAN -- Homomorphically Encrypted MAchine learning with oNnx models
International Conference on Machine Learning Technologies (ICMLT), 2023
Martin Nocker
David Drexel
Michael Rader
Alessio Montuoro
Pascal Schöttle
176
10
0
16 Feb 2023
Privacy-Preserving Credit Card Fraud Detection using Homomorphic Encryption
David Nugent
135
6
0
12 Nov 2022
Partially Oblivious Neural Network Inference
International Conference on Security and Cryptography (SECRYPT), 2022
P. Rizomiliotis
Christos Diou
Aikaterini Triakosia
Ilias Kyrannas
Konstantinos Tserpes
FedML
144
4
0
27 Oct 2022
SEEK: model extraction attack against hybrid secure inference protocols
IACR Cryptology ePrint Archive (IACR ePrint), 2022
Si-Quan Chen
Junfeng Fan
MIACV
151
2
0
14 Sep 2022
Privacy-Preserving Federated Recurrent Neural Networks
Proceedings on Privacy Enhancing Technologies (PoPETs), 2022
Sinem Sav
Abdulrahman Diaa
Apostolos Pyrgelis
Jean-Philippe Bossuat
Jean-Pierre Hubaux
FedML
213
9
0
28 Jul 2022
THE-X: Privacy-Preserving Transformer Inference with Homomorphic Encryption
Findings (Findings), 2022
Tianyu Chen
Hangbo Bao
Shaohan Huang
Li Dong
Binxing Jiao
Daxin Jiang
Haoyi Zhou
Jianxin Li
Furu Wei
314
132
0
01 Jun 2022
CoFHEE: A Co-processor for Fully Homomorphic Encryption Execution (Extended Version)
Design, Automation and Test in Europe (DATE), 2022
M. Nabeel
Homer Gamil
Deepraj Soni
M. Ashraf
Mizan Abraha Gebremichael
E. Chielle
Ramesh Karri
M. Sanduleanu
Michail Maniatakos
237
25
0
19 Apr 2022
HECO: Fully Homomorphic Encryption Compiler
USENIX Security Symposium (USENIX Security), 2022
Alexander Viand
Patrick Jattke
Miro Haller
Anwar Hithnawi
304
22
0
03 Feb 2022
A methodology for training homomorphicencryption friendly neural networks
Moran Baruch
Nir Drucker
L. Greenberg
Guy Moshkowich
215
16
0
05 Nov 2021
Privacy-Preserving Machine Learning with Fully Homomorphic Encryption for Deep Neural Network
IEEE Access (IEEE Access), 2021
Joon-Woo Lee
Hyungchul Kang
Yongwoo Lee
W. Choi
Jieun Eom
...
Eunsang Lee
Junghyun Lee
Donghoon Yoo
Young-Sik Kim
Jong-Seon No
197
322
0
14 Jun 2021
SIRNN: A Math Library for Secure RNN Inference
IEEE Symposium on Security and Privacy (IEEE S&P), 2021
Deevashwer Rathee
Mayank Rathee
R. Goli
Divya Gupta
Rahul Sharma
Nishanth Chandran
Aseem Rastogi
154
135
0
10 May 2021
TenSEAL: A Library for Encrypted Tensor Operations Using Homomorphic Encryption
Ayoub Benaissa
Bilal Retiat
Bogdan Cebere
Alaa Eddine Belfedhal
FedML
182
190
0
07 Apr 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
203
31
0
30 Mar 2021
Practical Encrypted Computing for IoT Clients
McKenzie van der Hagen
Brandon Lucia
123
9
0
11 Mar 2021
Porcupine: A Synthesizing Compiler for Vectorized Homomorphic Encryption
ACM-SIGPLAN Symposium on Programming Language Design and Implementation (PLDI), 2021
M. Cowan
Deeksha Dangwal
Armin Alaghi
Caroline Trippel
Vincent T. Lee
Brandon Reagen
131
47
0
19 Jan 2021
SoK: Fully Homomorphic Encryption Compilers
IEEE Symposium on Security and Privacy (IEEE S&P), 2021
Alexander Viand
Patrick Jattke
Anwar Hithnawi
157
110
0
18 Jan 2021
HeLayers: A Tile Tensors Framework for Large Neural Networks on Encrypted Data
E. Aharoni
Allon Adir
Moran Baruch
Nir Drucker
Gilad Ezov
...
Ramy Masalha
Guy Moshkowich
Dov Murik
Hayim Shaul
Omri Soceanu
FedML
307
75
0
03 Nov 2020
CrypTFlow2: Practical 2-Party Secure Inference
Deevashwer Rathee
Mayank Rathee
Nishant Kumar
Nishanth Chandran
Divya Gupta
Aseem Rastogi
Rahul Sharma
265
385
0
13 Oct 2020
A brief history on Homomorphic learning: A privacy-focused approach to machine learning
Aadesh Neupane
111
1
0
09 Sep 2020
Highly Accurate CNN Inference Using Approximate Activation Functions over Homomorphic Encryption
Takumi Ishiyama
Takuya Suzuki
Hayato Yamana
209
51
0
08 Sep 2020
POSEIDON: Privacy-Preserving Federated Neural Network Learning
Network and Distributed System Security Symposium (NDSS), 2020
Sinem Sav
Apostolos Pyrgelis
J. Troncoso-Pastoriza
D. Froelicher
Jean-Philippe Bossuat
João Sá Sousa
Jean-Pierre Hubaux
FedML
210
170
0
01 Sep 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
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
ARIANN: Low-Interaction Privacy-Preserving Deep Learning via Function Secret Sharing
T. Ryffel
Pierre Tholoniat
D. Pointcheval
Francis R. Bach
FedML
289
125
0
08 Jun 2020
Scalable Privacy-Preserving Distributed Learning
D. Froelicher
J. Troncoso-Pastoriza
Apostolos Pyrgelis
Sinem Sav
João Sá Sousa
Jean-Philippe Bossuat
Jean-Pierre Hubaux
FedML
238
73
0
19 May 2020
ArchNet: Data Hiding Model in Distributed Machine Learning System
Kaiyan Chang
Wei Jiang
Xiangyu Wen
Zicheng Gong
Weijia Pan
FedML
162
0
0
23 Apr 2020
A Privacy-Preserving Distributed Architecture for Deep-Learning-as-a-Service
IEEE International Joint Conference on Neural Network (IJCNN), 2020
Simone Disabato
Alessandro Falcetta
Alessio Mongelluzzo
M. Roveri
FedML
180
15
0
30 Mar 2020
HEAAN Demystified: Accelerating Fully Homomorphic Encryption Through Architecture-centric Analysis and Optimization
IEEE Access (IEEE Access), 2020
Wonkyung Jung
Eojin Lee
Sangpyo Kim
Keewoo Lee
Namhoon Kim
Chohong Min
Jung Hee Cheon
Jung Ho Ahn
159
69
0
10 Mar 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
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
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