Communities
Connect sessions
AI calendar
Organizations
Join Slack
Contact Sales
Search
Open menu
Home
Papers
1902.07342
Cited By
v1
v2 (latest)
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
Re-assign community
ArXiv (abs)
PDF
HTML
Papers citing
"XONN: XNOR-based Oblivious Deep Neural Network Inference"
50 / 111 papers shown
CrypTorch: PyTorch-based Auto-tuning Compiler for Machine Learning with Multi-party Computation
Jinyu Liu
Gang Tan
Kiwan Maeng
88
0
0
24 Nov 2025
PrivGNN: High-Performance Secure Inference for Cryptographic Graph Neural Networks
Fuyi Wang
Zekai Chen
Mingyuan Fan
Jianying Zhou
Lei Pan
L. Zhang
112
0
0
04 Nov 2025
Fast Networks for High-Performance Distributed Trust
Yicheng Liu
Rafail Ostrovsky
Scott Shenker
Sam Kumar
72
0
0
01 Nov 2025
CryptGNN: Enabling Secure Inference for Graph Neural Networks
Pritam Sen
Yao Ma
Cristian Borcea
79
0
0
11 Sep 2025
Activate Me!: Designing Efficient Activation Functions for Privacy-Preserving Machine Learning with Fully Homomorphic Encryption
International Conference on Cryptology in Africa (AFRICACRYPT), 2025
Nges Brian Njungle
Michel Kinsy
AAML
105
2
0
15 Aug 2025
Privacy-Preserving Inference for Quantized BERT Models
Tianpei Lu
Bingsheng Zhang
Lekun Peng
Bowen Zheng
Lichun Li
Kui Ren
MQ
120
0
0
03 Aug 2025
PPMI: Privacy-Preserving LLM Interaction with Socratic Chain-of-Thought Reasoning and Homomorphically Encrypted Vector Databases
Yubeen Bae
Minchan Kim
Jaejin Lee
Sangbum Kim
Jaehyung Kim
Yejin Choi
Niloofar Mireshghallah
205
3
0
19 Jun 2025
SONNI: Secure Oblivious Neural Network Inference
International Conference on Security and Cryptography (SECRYPT), 2025
Luke Sperling
S. Kulkarni
286
0
0
26 Apr 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
385
3
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
239
1
0
21 Dec 2024
PrivQuant: Communication-Efficient Private Inference with Quantized Network/Protocol Co-Optimization
International Conference on Computer Aided Design (ICCAD), 2024
Tianshi Xu
Shuzhang Zhong
Wenxuan Zeng
Runsheng Wang
Meng Li
MQ
193
3
0
12 Oct 2024
SSNet: A Lightweight Multi-Party Computation Scheme for Practical Privacy-Preserving Machine Learning Service in the Cloud
Shijin Duan
Chenghong Wang
Hongwu Peng
Yukui Luo
Wujie Wen
Caiwen Ding
Xiaolin Xu
214
5
0
04 Jun 2024
Amalgam: A Framework for Obfuscated Neural Network Training on the Cloud
Sifat Ut Taki
Spyridon Mastorakis
FedML
285
1
0
02 Jun 2024
Comet:
\textit{Comet:}
Comet:
A
C
o
m
‾
\underline{Com}
C
o
m
munication-
e
‾
\underline{e}
e
fficient and Performant Approxima
t
‾
\underline{t}
t
ion for Private Transformer Inference
Xiangrui Xu
Qiao Zhang
R. Ning
Chunsheng Xin
Hongyi Wu
213
11
0
24 May 2024
FOBNN: Fast Oblivious Inference via Binarized Neural Networks
Xin Chen
Zhili Chen
Shiwen Wei
Shiwen Wei
Lin Chen
FedML
168
2
0
06 May 2024
EQO: Exploring Ultra-Efficient Private Inference with Winograd-Based Protocol and Quantization Co-Optimization
Wenxuan Zeng
Tianshi Xu
Meng Li
Runsheng Wang
MQ
226
0
0
15 Apr 2024
Regularized PolyKervNets: Optimizing Expressiveness and Efficiency for Private Inference in Deep Neural Networks
Toluwani Aremu
168
0
0
23 Dec 2023
LinGCN: Structural Linearized Graph Convolutional Network for Homomorphically Encrypted Inference
Neural Information Processing Systems (NeurIPS), 2023
Hongwu Peng
Ran Ran
Yukui Luo
Jiahui Zhao
Shaoyi Huang
...
Tong Geng
Chenghong Wang
Xiaolin Xu
Wujie Wen
Caiwen Ding
324
46
0
25 Sep 2023
Compact: Approximating Complex Activation Functions for Secure Computation
Proceedings on Privacy Enhancing Technologies (PoPETs), 2023
Mazharul Islam
Sunpreet S. Arora
Rahul Chatterjee
Peter Rindal
Maliheh Shirvanian
312
6
0
09 Sep 2023
AutoReP: Automatic ReLU Replacement for Fast Private Network Inference
IEEE International Conference on Computer Vision (ICCV), 2023
Hongwu Peng
Shaoyi Huang
Tong Zhou
Yukui Luo
Chenghong Wang
...
Tony Geng
Kaleel Mahmood
Wujie Wen
Xiaolin Xu
Caiwen Ding
OffRL
295
43
0
20 Aug 2023
Integrating Homomorphic Encryption and Trusted Execution Technology for Autonomous and Confidential Model Refining in Cloud
IEEE International Conference on Cloud Computing (CLOUD), 2023
Pinglan Liu
Wensheng Zhang
133
1
0
02 Aug 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
179
1
0
01 May 2023
GTree: GPU-Friendly Privacy-preserving Decision Tree Training and Inference
International Conference on Trust, Security and Privacy in Computing and Communications (TrustCom), 2023
Qifan Wang
Shujie Cui
Lei Zhou
Ye Dong
Jianli Bai
Yun Sing Koh
Giovanni Russello
343
2
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
285
7
0
26 Apr 2023
C2PI: An Efficient Crypto-Clear Two-Party Neural Network Private Inference
Design Automation Conference (DAC), 2023
Yuke Zhang
Dake Chen
Souvik Kundu
Haomei Liu
Ruiheng Peng
Peter A. Beerel
167
11
0
26 Apr 2023
A Survey of Trustworthy Federated Learning with Perspectives on Security, Robustness, and Privacy
The Web Conference (WWW), 2023
Yifei Zhang
Dun Zeng
Jinglong Luo
Zenglin Xu
Irwin King
FedML
378
63
0
21 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
183
11
0
16 Feb 2023
On Achieving Privacy-Preserving State-of-the-Art Edge Intelligence
Daphnee Chabal
Dolly Sapra
Z. Mann
168
5
0
10 Feb 2023
TT-TFHE: a Torus Fully Homomorphic Encryption-Friendly Neural Network Architecture
Adrien Benamira
Tristan Guérand
Thomas Peyrin
Sayandeep Saha
277
8
0
03 Feb 2023
CHEM: Efficient Secure Aggregation with Cached Homomorphic Encryption in Federated Machine Learning Systems
Dongfang Zhao
FedML
133
1
0
22 Dec 2022
ezDPS: An Efficient and Zero-Knowledge Machine Learning Inference Pipeline
Proceedings on Privacy Enhancing Technologies (PoPETs), 2022
Haodi Wang
Thang Hoang
169
19
0
11 Dec 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
148
4
0
27 Oct 2022
Efficient Privacy-Preserving Machine Learning with Lightweight Trusted Hardware
Proceedings on Privacy Enhancing Technologies (PoPETs), 2022
Pengzhi Huang
Thang Hoang
Yueying Li
Elaine Shi
G. E. Suh
306
5
0
18 Oct 2022
ScionFL: Efficient and Robust Secure Quantized Aggregation
Y. Ben-Itzhak
Helen Mollering
Benny Pinkas
T. Schneider
Ajith Suresh
Oleksandr Tkachenko
S. Vargaftik
Christian Weinert
Hossein Yalame
Avishay Yanai
221
11
0
13 Oct 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
170
5
0
20 Sep 2022
SEEK: model extraction attack against hybrid secure inference protocols
IACR Cryptology ePrint Archive (IACR ePrint), 2022
Si-Quan Chen
Junfeng Fan
MIACV
160
2
0
14 Sep 2022
Joint Linear and Nonlinear Computation across Functions for Efficient Privacy-Preserving Neural Network Inference
Qiao Zhang
Tao Xiang
Chunsheng Xin
Biwen Chen
Hongyi Wu
253
1
0
04 Sep 2022
Selective manipulation of disentangled representations for privacy-aware facial image processing
Sander De Coninck
Wei-Cheng Wang
Sam Leroux
Pieter Simoens
PICV
112
2
0
26 Aug 2022
MUDGUARD: Taming Malicious Majorities in Federated Learning using Privacy-Preserving Byzantine-Robust Clustering
Proceedings of the ACM on Measurement and Analysis of Computing Systems (POMACS), 2022
Rui Wang
Xingkai Wang
H. Chen
Jérémie Decouchant
S. Picek
Ziqiang Liu
K. Liang
229
3
0
22 Aug 2022
HWGN2: Side-channel Protected Neural Networks through Secure and Private Function Evaluation
Mohammad J. Hashemi
Steffi Roy
Domenic Forte
F. Ganji
AAML
182
3
0
07 Aug 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
244
10
0
28 Jul 2022
Thoughts on child safety on commodity platforms
I. Levy
Crispin Robinson
142
13
0
19 Jul 2022
Hercules: Boosting the Performance of Privacy-preserving Federated Learning
IEEE Transactions on Dependable and Secure Computing (TDSC), 2022
Guowen Xu
Xingshuo Han
Shengmin Xu
Tianwei Zhang
Hongwei Li
Xinyi Huang
R. Deng
FedML
281
21
0
11 Jul 2022
Privacy-preserving Decentralized Deep Learning with Multiparty Homomorphic Encryption
Guowen Xu
Guanlin Li
Shangwei Guo
Tianwei Zhang
Hongwei Li
FedML
151
6
0
11 Jul 2022
Deploying Convolutional Networks on Untrusted Platforms Using 2D Holographic Reduced Representations
International Conference on Machine Learning (ICML), 2022
Mohammad Mahmudul Alam
Edward Raff
Tim Oates
James Holt
151
6
0
13 Jun 2022
Towards Practical Privacy-Preserving Solution for Outsourced Neural Network Inference
IEEE International Conference on Cloud Computing (CLOUD), 2022
Pinglan Liu
Wensheng Zhang
FedML
102
4
0
06 Jun 2022
Fusion: Efficient and Secure Inference Resilient to Malicious Servers
Network and Distributed System Security Symposium (NDSS), 2022
Caiqin Dong
Jian Weng
Jia-Nan Liu
Yue Zhang
Yao Tong
Anjia Yang
Yudan Cheng
Shun Hu
383
20
0
06 May 2022
SecGNN: Privacy-Preserving Graph Neural Network Training and Inference as a Cloud Service
IEEE Transactions on Services Computing (IEEE TSC), 2022
Songlei Wang
Yifeng Zheng
Xiaohua Jia
GNN
258
36
0
16 Feb 2022
AESPA: Accuracy Preserving Low-degree Polynomial Activation for Fast Private Inference
J. Park
M. Kim
Wonkyung Jung
Jung Ho Ahn
LLMSV
189
43
0
18 Jan 2022
CryptoNite: Revealing the Pitfalls of End-to-End Private Inference at Scale
Karthik Garimella
N. Jha
Zahra Ghodsi
S. Garg
Brandon Reagen
245
4
0
04 Nov 2021
1
2
3
Next
