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PrivFT: Private and Fast Text Classification with Homomorphic Encryption

PrivFT: Private and Fast Text Classification with Homomorphic Encryption

19 August 2019
Ahmad Al Badawi
Louie Hoang
Chan Fook Mun
Kim Laine
Khin Mi Mi Aung
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Papers citing "PrivFT: Private and Fast Text Classification with Homomorphic Encryption"

11 / 11 papers shown
Title
Encryption-Friendly LLM Architecture
Encryption-Friendly LLM Architecture
Donghwan Rho
Taeseong Kim
Minje Park
Jung Woo Kim
Hyunsik Chae
Jung Hee Cheon
Ernest K. Ryu
57
2
0
24 Feb 2025
HETAL: Efficient Privacy-preserving Transfer Learning with Homomorphic
  Encryption
HETAL: Efficient Privacy-preserving Transfer Learning with Homomorphic Encryption
Seewoo Lee
Garam Lee
Jung Woo Kim
Junbum Shin
Mun-Kyu Lee
38
26
0
21 Mar 2024
REED: Chiplet-Based Accelerator for Fully Homomorphic Encryption
REED: Chiplet-Based Accelerator for Fully Homomorphic Encryption
Aikata Aikata
A. Mert
Sunmin Kwon
M. Deryabin
S. Roy
111
2
0
05 Aug 2023
TensorFHE: Achieving Practical Computation on Encrypted Data Using GPGPU
TensorFHE: Achieving Practical Computation on Encrypted Data Using GPGPU
Shengyu Fan
Zhiwei Wang
Weizhi Xu
Rui Hou
Dan Meng
Hao Fei
FedML
25
44
0
29 Dec 2022
Medha: Microcoded Hardware Accelerator for computing on Encrypted Data
Medha: Microcoded Hardware Accelerator for computing on Encrypted Data
A. Mert
Sunmin Aikata
Sunmin Kwon
Youngsam Shin
Donghoon Yoo
Yongwoo Yoo
Sinha Roy
31
34
0
11 Oct 2022
Privacy-Preserving Text Classification on BERT Embeddings with
  Homomorphic Encryption
Privacy-Preserving Text Classification on BERT Embeddings with Homomorphic Encryption
Garam Lee
Minsoo Kim
J. Park
Seung-won Hwang
Jung Hee Cheon
38
17
0
05 Oct 2022
Verifiable Encodings for Secure Homomorphic Analytics
Verifiable Encodings for Secure Homomorphic Analytics
Sylvain Chatel
Christian Knabenhans
Apostolos Pyrgelis
Carmela Troncoso
Jean-Pierre Hubaux
33
19
0
28 Jul 2022
CryptoTL: Private, Efficient and Secure Transfer Learning
CryptoTL: Private, Efficient and Secure Transfer Learning
Roman Walch
Samuel Sousa
Lukas Helminger
Stefanie N. Lindstaedt
Christian Rechberger
A. Trugler
38
8
0
24 May 2022
SoK: Privacy Preserving Machine Learning using Functional Encryption:
  Opportunities and Challenges
SoK: Privacy Preserving Machine Learning using Functional Encryption: Opportunities and Challenges
Prajwal Panzade
Daniel Takabi
14
6
0
11 Apr 2022
BTS: An Accelerator for Bootstrappable Fully Homomorphic Encryption
BTS: An Accelerator for Bootstrappable Fully Homomorphic Encryption
Sangpyo Kim
Jongmin Kim
M. Kim
Wonkyung Jung
Minsoo Rhu
John Kim
Jung Ho Ahn
21
140
0
31 Dec 2021
POSEIDON: Privacy-Preserving Federated Neural Network Learning
POSEIDON: Privacy-Preserving Federated Neural Network Learning
Sinem Sav
Apostolos Pyrgelis
J. Troncoso-Pastoriza
D. Froelicher
Jean-Philippe Bossuat
João Sá Sousa
Jean-Pierre Hubaux
FedML
13
153
0
01 Sep 2020
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