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HETAL: Efficient Privacy-preserving Transfer Learning with Homomorphic
  Encryption

HETAL: Efficient Privacy-preserving Transfer Learning with Homomorphic Encryption

21 March 2024
Seewoo Lee
Garam Lee
Jung Woo Kim
Junbum Shin
Mun-Kyu Lee
ArXivPDFHTML

Papers citing "HETAL: Efficient Privacy-preserving Transfer Learning with Homomorphic Encryption"

15 / 15 papers shown
Title
Silenzio: Secure Non-Interactive Outsourced MLP Training
Silenzio: Secure Non-Interactive Outsourced MLP Training
Jonas Sander
T. Eisenbarth
28
0
0
24 Apr 2025
Privacy-preserving Machine Learning in Internet of Vehicle Applications: Fundamentals, Recent Advances, and Future Direction
Nazmul Islam
Mohammad Zulkernine
40
0
0
03 Mar 2025
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
52
1
0
24 Feb 2025
Fast and Accurate Homomorphic Softmax Evaluation
Fast and Accurate Homomorphic Softmax Evaluation
Wonhee Cho
G. Hanrot
Taeseong Kim
Minje Park
D. Stehlé
24
2
0
15 Oct 2024
CryptoTrain: Fast Secure Training on Encrypted Dataset
CryptoTrain: Fast Secure Training on Encrypted Dataset
Jiaqi Xue
Yancheng Zhang
YanShan Wang
Xueqiang Wang
Hao Zheng
Qian Lou
16
3
0
25 Sep 2024
Efficient Privacy-Preserving KAN Inference Using Homomorphic Encryption
Efficient Privacy-Preserving KAN Inference Using Homomorphic Encryption
Zhizheng Lai
Yufei Zhou
Peijia Zheng
Lin Chen
20
0
0
12 Sep 2024
Cheddar: A Swift Fully Homomorphic Encryption Library for CUDA GPUs
Cheddar: A Swift Fully Homomorphic Encryption Library for CUDA GPUs
Jongmin Kim
Wonseok Choi
Jung Ho Ahn
FedML
22
6
0
17 Jul 2024
Homomorphic WiSARDs: Efficient Weightless Neural Network training over
  encrypted data
Homomorphic WiSARDs: Efficient Weightless Neural Network training over encrypted data
Leonardo Neumann
Antonio Guimarães
Diego F. Aranha
Edson Borin
AAML
16
0
0
29 Mar 2024
I can't see it but I can Fine-tune it: On Encrypted Fine-tuning of
  Transformers using Fully Homomorphic Encryption
I can't see it but I can Fine-tune it: On Encrypted Fine-tuning of Transformers using Fully Homomorphic Encryption
Prajwal Panzade
Daniel Takabi
Zhipeng Cai
7
2
0
14 Feb 2024
Investigating the Quality of DermaMNIST and Fitzpatrick17k Dermatological Image Datasets
Investigating the Quality of DermaMNIST and Fitzpatrick17k Dermatological Image Datasets
Kumar Abhishek
Aditi Jain
Ghassan Hamarneh
33
2
0
25 Jan 2024
Converting Transformers to Polynomial Form for Secure Inference Over
  Homomorphic Encryption
Converting Transformers to Polynomial Form for Secure Inference Over Homomorphic Encryption
Itamar Zimerman
Moran Baruch
Nir Drucker
Gilad Ezov
Omri Soceanu
Lior Wolf
8
14
0
15 Nov 2023
Optimized Layerwise Approximation for Efficient Private Inference on
  Fully Homomorphic Encryption
Optimized Layerwise Approximation for Efficient Private Inference on Fully Homomorphic Encryption
Junghyun Lee
Eunsang Lee
Young-Sik Kim
Yongwoo Lee
Joon-Woo Lee
Yongjune Kim
Jong-Seon No
21
1
0
16 Oct 2023
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
16
0
05 Oct 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
30
8
0
24 May 2022
MedMNIST v2 -- A large-scale lightweight benchmark for 2D and 3D
  biomedical image classification
MedMNIST v2 -- A large-scale lightweight benchmark for 2D and 3D biomedical image classification
Jiancheng Yang
Rui Shi
D. Wei
Zequan Liu
Lin Zhao
B. Ke
Hanspeter Pfister
Bingbing Ni
VLM
161
645
0
27 Oct 2021
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