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Optimizing Privacy-Preserving Outsourced Convolutional Neural Network
  Predictions
v1v2v3 (latest)

Optimizing Privacy-Preserving Outsourced Convolutional Neural Network Predictions

IEEE Transactions on Dependable and Secure Computing (TDSC), 2020
22 February 2020
Minghui Li
Sherman S. M. Chow
Shengshan Hu
Yuejing Yan
Minxin Du
Peng Kuang
ArXiv (abs)PDFHTML

Papers citing "Optimizing Privacy-Preserving Outsourced Convolutional Neural Network Predictions"

7 / 7 papers shown
CAMH: Advancing Model Hijacking Attack in Machine Learning
CAMH: Advancing Model Hijacking Attack in Machine LearningAAAI Conference on Artificial Intelligence (AAAI), 2024
Xing He
Jiahao Chen
Yuwen Pu
Qingming Li
Chunyi Zhou
Yingcai Wu
Jinbao Li
Shouling Ji
196
1
0
25 Aug 2024
Mitigating Noise Detriment in Differentially Private Federated Learning with Model Pre-training
Mitigating Noise Detriment in Differentially Private Federated Learning with Model Pre-training
Huitong Jin
Yipeng Zhou
Quan Z. Sheng
Shiting Wen
Laizhong Cui
AI4CE
279
0
0
18 Aug 2024
Bicoptor 2.0: Addressing Challenges in Probabilistic Truncation for
  Enhanced Privacy-Preserving Machine Learning
Bicoptor 2.0: Addressing Challenges in Probabilistic Truncation for Enhanced Privacy-Preserving Machine Learning
Lijing Zhou
Qingrui Song
Su Zhang
Ziyu Wang
Xianggui Wang
Yong-Lu Li
301
8
0
10 Sep 2023
SMPC Task Decomposition: A Theory for Accelerating Secure Multi-party
  Computation Task
SMPC Task Decomposition: A Theory for Accelerating Secure Multi-party Computation Task
Yuanqing Feng
Tao Bai
Song Lu
Xueming Tang
Junjun Wu
187
1
0
01 Mar 2023
Crypto Makes AI Evolve
Crypto Makes AI Evolve
B. Zolfaghari
Elnaz Rabieinejad
Abbas Yazdinejad
R. Parizi
Ali Dehghantanha
136
9
0
25 Jun 2022
Practical Two-party Privacy-preserving Neural Network Based on Secret
  Sharing
Practical Two-party Privacy-preserving Neural Network Based on Secret Sharing
ZhengQiang Ge
Zhipeng Zhou
Dong Guo
Qiang Li
FedML
146
7
0
10 Apr 2021
VeriML: Enabling Integrity Assurances and Fair Payments for Machine
  Learning as a Service
VeriML: Enabling Integrity Assurances and Fair Payments for Machine Learning as a ServiceIEEE Transactions on Parallel and Distributed Systems (TPDS), 2019
Lingchen Zhao
Qian Wang
Cong Wang
Qi Li
Chao Shen
Xiaodong Lin
Bo Feng
Minxin Du
VLM
197
108
0
16 Sep 2019
1
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