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1902.07342
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XONN: XNOR-based Oblivious Deep Neural Network Inference
19 February 2019
M. Riazi
Mohammad Samragh
Hao Chen
Kim Laine
Kristin E. Lauter
F. Koushanfar
FedML
GNN
BDL
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Papers citing
"XONN: XNOR-based Oblivious Deep Neural Network Inference"
50 / 111 papers shown
Optimizing Secure Decision Tree Inference Outsourcing
IEEE Transactions on Dependable and Secure Computing (IEEE TDSC), 2021
Yifeng Zheng
Cong Wang
Ruochen Wang
Huayi Duan
Surya Nepal
170
10
0
31 Oct 2021
SEDML: Securely and Efficiently Harnessing Distributed Knowledge in Machine Learning
Yansong Gao
Qun Li
Yifeng Zheng
Guohong Wang
Jiannan Wei
Mang Su
192
3
0
26 Oct 2021
Application of Homomorphic Encryption in Medical Imaging
Francis Dutil
Alexandre See
Lisa Di-Jorio
F. Chandelier
MedIm
116
8
0
12 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
FDFB: Full Domain Functional Bootstrapping Towards Practical Fully Homomorphic Encryption
IACR Cryptology ePrint Archive (IACR ePrint), 2021
Kamil Kluczniak
L. Schild
FedML
65
67
0
06 Sep 2021
CrypTen: Secure Multi-Party Computation Meets Machine Learning
Brian Knott
Shobha Venkataraman
Awni Y. Hannun
Shubho Sengupta
Mark Ibrahim
Laurens van der Maaten
317
470
0
02 Sep 2021
Guarding Machine Learning Hardware Against Physical Side-Channel Attacks
ACM Journal on Emerging Technologies in Computing Systems (JETC), 2021
Anuj Dubey
Rosario Cammarota
Vikram B. Suresh
Aydin Aysu
AAML
224
37
0
01 Sep 2021
Privacy-Preserving Machine Learning: Methods, Challenges and Directions
Runhua Xu
Nathalie Baracaldo
J. Joshi
187
140
0
10 Aug 2021
Sisyphus: A Cautionary Tale of Using Low-Degree Polynomial Activations in Privacy-Preserving Deep Learning
Karthik Garimella
N. Jha
Brandon Reagen
161
25
0
26 Jul 2021
Popcorn: Paillier Meets Compression For Efficient Oblivious Neural Network Inference
Jun Wang
Chao Jin
S. Meftah
Khin Mi Mi Aung
UQCV
156
3
0
05 Jul 2021
MAGE: Nearly Zero-Cost Virtual Memory for Secure Computation
Sam Kumar
David Culler
Raluca A. Popa
130
24
0
23 Jun 2021
Sphynx: ReLU-Efficient Network Design for Private Inference
IEEE Security and Privacy (IEEE S&P), 2021
Minsu Cho
Zahra Ghodsi
Brandon Reagen
S. Garg
Chinmay Hegde
154
29
0
17 Jun 2021
Circa: Stochastic ReLUs for Private Deep Learning
Zahra Ghodsi
N. Jha
Brandon Reagen
S. Garg
143
38
0
15 Jun 2021
Adam in Private: Secure and Fast Training of Deep Neural Networks with Adaptive Moment Estimation
IACR Cryptology ePrint Archive (IACR ePrint), 2021
Nuttapong Attrapadung
Koki Hamada
Dai Ikarashi
Ryo Kikuchi
Takahiro Matsuda
Ibuki Mishina
Hiraku Morita
Jacob C. N. Schuldt
157
29
0
04 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
156
139
0
10 May 2021
GALA: Greedy ComputAtion for Linear Algebra in Privacy-Preserved Neural Networks
Network and Distributed System Security Symposium (NDSS), 2021
Qiao Zhang
Chunsheng Xin
Hongyi Wu
157
64
0
05 May 2021
CryptGPU: Fast Privacy-Preserving Machine Learning on the GPU
IEEE Symposium on Security and Privacy (IEEE S&P), 2021
Sijun Tan
Brian Knott
Yuan Tian
David J. Wu
BDL
FedML
194
226
0
22 Apr 2021
Practical Two-party Privacy-preserving Neural Network Based on Secret Sharing
ZhengQiang Ge
Zhipeng Zhou
Dong Guo
Qiang Li
FedML
117
7
0
10 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
225
34
0
30 Mar 2021
Round and Communication Balanced Protocols for Oblivious Evaluation of Finite State Machines
IACR Cryptology ePrint Archive (IACR ePrint), 2021
Rafael Dowsley
Caleb Horst
Anderson C. A. Nascimento
190
0
0
20 Mar 2021
Practical Encrypted Computing for IoT Clients
McKenzie van der Hagen
Brandon Lucia
127
9
0
11 Mar 2021
Privacy-Preserving Video Classification with Convolutional Neural Networks
IACR Cryptology ePrint Archive (IACR ePrint), 2021
Sikha Pentyala
Rafael Dowsley
Martine De Cock
PICV
262
24
0
06 Feb 2021
FFConv: Fast Factorized Convolutional Neural Network Inference on Encrypted Data
Yu-Ching Lu
Jie Lin
Chao Jin
Zhe Wang
Ruibing Jin
Khin Mi Mi Aung
Xiaoli Li
148
1
0
06 Feb 2021
Exploring Design and Governance Challenges in the Development of Privacy-Preserving Computation
International Conference on Human Factors in Computing Systems (CHI), 2021
Nitin Agrawal
Reuben Binns
Max Van Kleek
Kim Laine
N. Shadbolt
122
46
0
20 Jan 2021
Fast Privacy-Preserving Text Classification based on Secure Multiparty Computation
IEEE Transactions on Information Forensics and Security (IEEE TIFS), 2021
A. Resende
Davis Railsback
Rafael Dowsley
Anderson C. A. Nascimento
Diego F. Aranha
205
22
0
18 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
160
13
0
09 Dec 2020
SoK: Training Machine Learning Models over Multiple Sources with Privacy Preservation
Lushan Song
Guopeng Lin
Jiaxuan Wang
Haoqi Wu
Wenqiang Ruan
Weili Han
393
9
0
06 Dec 2020
CrypTFlow2: Practical 2-Party Secure Inference
Deevashwer Rathee
Mayank Rathee
Nishant Kumar
Nishanth Chandran
Divya Gupta
Aseem Rastogi
Rahul Sharma
272
392
0
13 Oct 2020
GECKO: Reconciling Privacy, Accuracy and Efficiency in Embedded Deep Learning
ACM Symposium on Applied Computing (SAC), 2020
Vasisht Duddu
A. Boutet
Virat Shejwalkar
GNN
194
4
0
02 Oct 2020
Accelerating 2PC-based ML with Limited Trusted Hardware
M. Nawaz
Aditya Gulati
Kunlong Liu
Vishwajeet Agrawal
P. Ananth
Trinabh Gupta
243
2
0
11 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
220
172
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
237
17
0
10 Aug 2020
SOTERIA: In Search of Efficient Neural Networks for Private Inference
Anshul Aggarwal
Trevor E. Carlson
Reza Shokri
Shruti Tople
FedML
95
12
0
25 Jul 2020
BUNET: Blind Medical Image Segmentation Based on Secure UNET
International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2020
S. Bian
Xiaowei Xu
Weiwen Jiang
Yiyu Shi
Takashi Sato
139
6
0
14 Jul 2020
SESAME: Software defined Enclaves to Secure Inference Accelerators with Multi-tenant Execution
Sarbartha Banerjee
Prakash Ramrakhyani
Shijia Wei
Mohit Tiwari
119
9
0
14 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
200
50
0
05 Jul 2020
Private Speech Classification with Secure Multiparty Computation
Kyle Bittner
Martine De Cock
Rafael Dowsley
234
1
0
01 Jul 2020
BoMaNet: Boolean Masking of an Entire Neural Network
Anuj Dubey
Rosario Cammarota
Aydin Aysu
AAML
194
55
0
16 Jun 2020
CryptoNAS: Private Inference on a ReLU Budget
Zahra Ghodsi
A. Veldanda
Brandon Reagen
S. Garg
258
97
0
15 Jun 2020
Secure Byzantine-Robust Machine Learning
Lie He
Sai Praneeth Karimireddy
Martin Jaggi
OOD
221
66
0
08 Jun 2020
ARIANN: Low-Interaction Privacy-Preserving Deep Learning via Function Secret Sharing
T. Ryffel
Pierre Tholoniat
D. Pointcheval
Francis R. Bach
FedML
314
126
0
08 Jun 2020
Secure Sum Outperforms Homomorphic Encryption in (Current) Collaborative Deep Learning
Derian Boer
Stefan Kramer
FedML
122
10
0
02 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
255
76
0
19 May 2020
Privacy in Deep Learning: A Survey
Fatemehsadat Mirshghallah
Mohammadkazem Taram
Praneeth Vepakomma
Abhishek Singh
Ramesh Raskar
H. Esmaeilzadeh
FedML
445
148
0
25 Apr 2020
FALCON: Honest-Majority Maliciously Secure Framework for Private Deep Learning
Proceedings on Privacy Enhancing Technologies (PoPETs), 2020
Sameer Wagh
Shruti Tople
Fabrice Benhamouda
E. Kushilevitz
Prateek Mittal
T. Rabin
FedML
225
359
0
05 Apr 2020
Not All Features Are Equal: Discovering Essential Features for Preserving Prediction Privacy
Fatemehsadat Mireshghallah
Mohammadkazem Taram
A. Jalali
Ahmed T. Elthakeb
Dean Tullsen
H. Esmaeilzadeh
221
12
0
26 Mar 2020
ENSEI: Efficient Secure Inference via Frequency-Domain Homomorphic Convolution for Privacy-Preserving Visual Recognition
Computer Vision and Pattern Recognition (CVPR), 2020
S. Bian
Tianchen Wang
Masayuki Hiromoto
Yiyu Shi
Takashi Sato
FedML
190
34
0
11 Mar 2020
Optimizing Privacy-Preserving Outsourced Convolutional Neural Network Predictions
IEEE Transactions on Dependable and Secure Computing (TDSC), 2020
Minghui Li
Sherman S. M. Chow
Shengshan Hu
Yuejing Yan
Minxin Du
Peng Kuang
288
53
0
22 Feb 2020
SynFi: Automatic Synthetic Fingerprint Generation
IACR Cryptology ePrint Archive (IACR ePrint), 2020
M. Riazi
Seyed M. Chavoshian
F. Koushanfar
101
19
0
16 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
144
11
0
03 Feb 2020
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