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Privacy Partitioning: Protecting User Data During the Deep Learning
  Inference Phase

Privacy Partitioning: Protecting User Data During the Deep Learning Inference Phase

7 December 2018
Jianfeng Chi
Emmanuel Owusu
Xuwang Yin
Tong Yu
William Chan
P. Tague
Yuan Tian
    FedML
ArXivPDFHTML

Papers citing "Privacy Partitioning: Protecting User Data During the Deep Learning Inference Phase"

7 / 7 papers shown
Title
A General Pseudonymization Framework for Cloud-Based LLMs: Replacing Privacy Information in Controlled Text Generation
A General Pseudonymization Framework for Cloud-Based LLMs: Replacing Privacy Information in Controlled Text Generation
Shilong Hou
Ruilin Shang
Zi Long
Xianghua Fu
Yin Chen
67
0
0
24 Feb 2025
Protecting User Privacy in Remote Conversational Systems: A
  Privacy-Preserving framework based on text sanitization
Protecting User Privacy in Remote Conversational Systems: A Privacy-Preserving framework based on text sanitization
Zhigang Kan
Linbo Qiao
Hao Yu
Liwen Peng
Yifu Gao
Dongsheng Li
30
20
0
14 Jun 2023
A Vertical Federated Learning Framework for Graph Convolutional Network
A Vertical Federated Learning Framework for Graph Convolutional Network
Xiang Ni
Xiaolong Xu
Lingjuan Lyu
Changhua Meng
Weiqiang Wang
FedML
19
36
0
22 Jun 2021
Unsupervised Information Obfuscation for Split Inference of Neural
  Networks
Unsupervised Information Obfuscation for Split Inference of Neural Networks
Mohammad Samragh
H. Hosseini
Aleksei Triastcyn
K. Azarian
Joseph B. Soriaga
F. Koushanfar
25
11
0
23 Apr 2021
Information Leakage in Embedding Models
Information Leakage in Embedding Models
Congzheng Song
A. Raghunathan
MIACV
24
262
0
31 Mar 2020
Overlearning Reveals Sensitive Attributes
Overlearning Reveals Sensitive Attributes
Congzheng Song
Vitaly Shmatikov
19
148
0
28 May 2019
Lip Reading Sentences in the Wild
Lip Reading Sentences in the Wild
Joon Son Chung
A. Senior
Oriol Vinyals
Andrew Zisserman
185
784
0
16 Nov 2016
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