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Split HE: Fast Secure Inference Combining Split Learning and Homomorphic
  Encryption

Split HE: Fast Secure Inference Combining Split Learning and Homomorphic Encryption

27 February 2022
George-Liviu Pereteanu
A. Alansary
Jonathan Passerat-Palmbach
    FedML
ArXivPDFHTML

Papers citing "Split HE: Fast Secure Inference Combining Split Learning and Homomorphic Encryption"

6 / 6 papers shown
Title
SplitOut: Out-of-the-Box Training-Hijacking Detection in Split Learning
  via Outlier Detection
SplitOut: Out-of-the-Box Training-Hijacking Detection in Split Learning via Outlier Detection
Ege Erdogan
Unat Teksen
Mehmet Salih Celiktenyildiz
Alptekin Kupcu
A. E. Cicek
43
4
0
16 Feb 2023
GAN-based Vertical Federated Learning for Label Protection in Binary
  Classification
GAN-based Vertical Federated Learning for Label Protection in Binary Classification
Yujin Han
Leying Guan
FedML
35
0
0
04 Feb 2023
Syft 0.5: A Platform for Universally Deployable Structured Transparency
Syft 0.5: A Platform for Universally Deployable Structured Transparency
A. Hall
Madhava Jay
Tudor Cebere
Bogdan Cebere
K. V. D. Veen
...
Animesh Gupta
Jason Paumier
Nahua Kang
V. Manannikov
Andrew Trask
FedML
26
7
0
26 Apr 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
87
301
0
13 Oct 2020
Systematic Evaluation of Privacy Risks of Machine Learning Models
Systematic Evaluation of Privacy Risks of Machine Learning Models
Liwei Song
Prateek Mittal
MIACV
196
358
0
24 Mar 2020
Cryptanalytic Extraction of Neural Network Models
Cryptanalytic Extraction of Neural Network Models
Nicholas Carlini
Matthew Jagielski
Ilya Mironov
FedML
MLAU
MIACV
AAML
72
134
0
10 Mar 2020
1