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Privacy Safe Representation Learning via Frequency Filtering Encoder

Privacy Safe Representation Learning via Frequency Filtering Encoder

4 August 2022
J. Jeong
Minyong Cho
Philipp Benz
Jinwoo Hwang
J. Kim
Seungkwang Lee
Tae-Hoon Kim
ArXivPDFHTML

Papers citing "Privacy Safe Representation Learning via Frequency Filtering Encoder"

5 / 5 papers shown
Title
Permutation Equivariance of Transformers and Its Applications
Permutation Equivariance of Transformers and Its Applications
Hengyuan Xu
Liyao Xiang
Hang Ye
Dixi Yao
Pengzhi Chu
Baochun Li
19
13
0
16 Apr 2023
Label Leakage and Protection in Two-party Split Learning
Label Leakage and Protection in Two-party Split Learning
Oscar Li
Jiankai Sun
Xin Yang
Weihao Gao
Hongyi Zhang
Junyuan Xie
Virginia Smith
Chong-Jun Wang
FedML
131
139
0
17 Feb 2021
Threats to Federated Learning: A Survey
Threats to Federated Learning: A Survey
Lingjuan Lyu
Han Yu
Qiang Yang
FedML
202
434
0
04 Mar 2020
On the Global Optima of Kernelized Adversarial Representation Learning
On the Global Optima of Kernelized Adversarial Representation Learning
Bashir Sadeghi
Runyi Yu
Vishnu Naresh Boddeti
AAML
67
31
0
16 Oct 2019
Learning Adversarially Fair and Transferable Representations
Learning Adversarially Fair and Transferable Representations
David Madras
Elliot Creager
T. Pitassi
R. Zemel
FaML
233
674
0
17 Feb 2018
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