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Protecting Split Learning by Potential Energy Loss

Protecting Split Learning by Potential Energy Loss

18 October 2022
Fei Zheng
Chaochao Chen
Lingjuan Lyu
Xinyi Fu
Xing Fu
Weiqiang Wang
Xiaolin Zheng
Jianwei Yin
ArXivPDFHTML

Papers citing "Protecting Split Learning by Potential Energy Loss"

5 / 5 papers shown
Title
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
116
135
0
17 Feb 2021
CrypTFlow2: Practical 2-Party Secure Inference
CrypTFlow2: Practical 2-Party Secure Inference
Deevashwer Rathee
Mayank Rathee
Nishant Kumar
Nishanth Chandran
Divya Gupta
Aseem Rastogi
Rahul Sharma
75
247
0
13 Oct 2020
Information-Theoretic Generalization Bounds for SGLD via Data-Dependent
  Estimates
Information-Theoretic Generalization Bounds for SGLD via Data-Dependent Estimates
Jeffrey Negrea
Mahdi Haghifam
Gintare Karolina Dziugaite
Ashish Khisti
Daniel M. Roy
FedML
105
146
0
06 Nov 2019
Convolutional Neural Networks for Sentence Classification
Convolutional Neural Networks for Sentence Classification
Yoon Kim
AILaw
VLM
238
13,283
0
25 Aug 2014
Measuring and testing dependence by correlation of distances
Measuring and testing dependence by correlation of distances
G. Székely
Maria L. Rizzo
N. K. Bakirov
161
2,567
0
28 Mar 2008
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