ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2107.01786
  4. Cited By
Popcorn: Paillier Meets Compression For Efficient Oblivious Neural
  Network Inference

Popcorn: Paillier Meets Compression For Efficient Oblivious Neural Network Inference

5 July 2021
Jun Wang
Chao Jin
S. Meftah
Khin Mi Mi Aung
    UQCV
ArXivPDFHTML

Papers citing "Popcorn: Paillier Meets Compression For Efficient Oblivious Neural Network Inference"

14 / 14 papers shown
Title
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
47
49
0
05 May 2021
Binary Neural Networks: A Survey
Binary Neural Networks: A Survey
Haotong Qin
Ruihao Gong
Xianglong Liu
Xiao Bai
Jingkuan Song
N. Sebe
MQ
113
467
0
31 Mar 2020
XONN: XNOR-based Oblivious Deep Neural Network Inference
XONN: XNOR-based Oblivious Deep Neural Network Inference
M. Riazi
Mohammad Samragh
Hao Chen
Kim Laine
Kristin E. Lauter
F. Koushanfar
FedML
GNN
BDL
56
282
0
19 Feb 2019
Low Latency Privacy Preserving Inference
Low Latency Privacy Preserving Inference
Alon Brutzkus
Oren Elisha
Ran Gilad-Bachrach
FedML
122
232
0
27 Dec 2018
Faster CryptoNets: Leveraging Sparsity for Real-World Encrypted
  Inference
Faster CryptoNets: Leveraging Sparsity for Real-World Encrypted Inference
Edward Chou
Josh Beal
Daniel Levy
Serena Yeung
Albert Haque
Li Fei-Fei
45
198
0
25 Nov 2018
SNIP: Single-shot Network Pruning based on Connection Sensitivity
SNIP: Single-shot Network Pruning based on Connection Sensitivity
Namhoon Lee
Thalaiyasingam Ajanthan
Philip Torr
VLM
252
1,199
0
04 Oct 2018
LQ-Nets: Learned Quantization for Highly Accurate and Compact Deep
  Neural Networks
LQ-Nets: Learned Quantization for Highly Accurate and Compact Deep Neural Networks
Dongqing Zhang
Jiaolong Yang
Dongqiangzi Ye
G. Hua
MQ
62
703
0
26 Jul 2018
Quantizing deep convolutional networks for efficient inference: A
  whitepaper
Quantizing deep convolutional networks for efficient inference: A whitepaper
Raghuraman Krishnamoorthi
MQ
136
1,015
0
21 Jun 2018
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
171
397
0
08 Jun 2018
Gazelle: A Low Latency Framework for Secure Neural Network Inference
Gazelle: A Low Latency Framework for Secure Neural Network Inference
Chiraag Juvekar
Vinod Vaikuntanathan
A. Chandrakasan
57
892
0
16 Jan 2018
DeepSecure: Scalable Provably-Secure Deep Learning
DeepSecure: Scalable Provably-Secure Deep Learning
B. Rouhani
M. Riazi
F. Koushanfar
FedML
52
415
0
24 May 2017
XNOR-Net: ImageNet Classification Using Binary Convolutional Neural
  Networks
XNOR-Net: ImageNet Classification Using Binary Convolutional Neural Networks
Mohammad Rastegari
Vicente Ordonez
Joseph Redmon
Ali Farhadi
MQ
164
4,356
0
16 Mar 2016
Deep Compression: Compressing Deep Neural Networks with Pruning, Trained
  Quantization and Huffman Coding
Deep Compression: Compressing Deep Neural Networks with Pruning, Trained Quantization and Huffman Coding
Song Han
Huizi Mao
W. Dally
3DGS
253
8,833
0
01 Oct 2015
FaceNet: A Unified Embedding for Face Recognition and Clustering
FaceNet: A Unified Embedding for Face Recognition and Clustering
Florian Schroff
Dmitry Kalenichenko
James Philbin
3DH
370
13,143
0
12 Mar 2015
1