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1812.02863
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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
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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
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
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
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
Mohammad Samragh
H. Hosseini
Aleksei Triastcyn
K. Azarian
Joseph B. Soriaga
F. Koushanfar
25
11
0
23 Apr 2021
Information Leakage in Embedding Models
Congzheng Song
A. Raghunathan
MIACV
24
262
0
31 Mar 2020
Overlearning Reveals Sensitive Attributes
Congzheng Song
Vitaly Shmatikov
19
148
0
28 May 2019
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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