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1908.06972
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PrivFT: Private and Fast Text Classification with Homomorphic Encryption
IEEE Access (IEEE Access), 2019
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"
27 / 27 papers shown
Prismo: A Decision Support System for Privacy-Preserving ML Framework Selection
Nges Brian Njungle
Eric Jahns
Luigi Mastromauro
Edwin P. Kayang
Milan Stojkov
Michel Kinsy
179
0
0
11 Oct 2025
HE-LRM: Efficient Private Embedding Lookups for Neural Inference Using Fully Homomorphic Encryption
Karthik Garimella
Austin Ebel
Gabrielle De Micheli
Brandon Reagen
FedML
260
5
0
22 Jun 2025
CAT: A GPU-Accelerated FHE Framework with Its Application to High-Precision Private Dataset Query
Qirui Li
Rui Zong
FedML
292
3
0
28 Mar 2025
Encryption-Friendly LLM Architecture
International Conference on Learning Representations (ICLR), 2024
Donghwan Rho
Taeseong Kim
Minje Park
Jung Woo Kim
Hyunsik Chae
Jung Hee Cheon
Ernest K. Ryu
564
24
0
24 Feb 2025
Fast and Accurate Homomorphic Softmax Evaluation
Conference on Computer and Communications Security (CCS), 2024
Wonhee Cho
G. Hanrot
Taeseong Kim
Minje Park
D. Stehlé
218
18
0
15 Oct 2024
PrivTuner with Homomorphic Encryption and LoRA: A P3EFT Scheme for Privacy-Preserving Parameter-Efficient Fine-Tuning of AI Foundation Models
IEEE Transactions on Wireless Communications (IEEE TWC), 2024
Yang Li
Wenhan Yu
Jun Zhao
644
6
0
01 Oct 2024
HETAL: Efficient Privacy-preserving Transfer Learning with Homomorphic Encryption
Seewoo Lee
Garam Lee
Jung Woo Kim
Junbum Shin
Mun-Kyu Lee
308
52
0
21 Mar 2024
Pencil: Private and Extensible Collaborative Learning without the Non-Colluding Assumption
Xuanqi Liu
Zhuotao Liu
Qi Li
Ke Xu
Mingwei Xu
213
15
0
17 Mar 2024
Wildest Dreams: Reproducible Research in Privacy-preserving Neural Network Training
Tanveer Khan
Mindaugas Budzys
Khoa Nguyen
A. Michalas
200
3
0
06 Mar 2024
GME: GPU-based Microarchitectural Extensions to Accelerate Homomorphic Encryption
Micro (MICRO), 2023
Kaustubh Shivdikar
Yuhui Bao
R. Agrawal
M. Shen
Gilbert Jonatan
...
Neal Livesay
José L. Abellán
John Kim
Ajay Joshi
David Kaeli
194
44
0
20 Sep 2023
REED: Chiplet-Based Accelerator for Fully Homomorphic Encryption
Aikata Aikata
A. Mert
Sunmin Kwon
M. Deryabin
S. Roy
329
9
0
05 Aug 2023
Practical Solutions in Fully Homomorphic Encryption -- A Survey Analyzing Existing Acceleration Methods
Yanwei Gong
Xiaolin Chang
J. Misic
Vojislav B. Mišić
Jianhua Wang
Haoran Zhu
260
25
0
20 Mar 2023
TensorFHE: Achieving Practical Computation on Encrypted Data Using GPGPU
International Symposium on High-Performance Computer Architecture (HPCA), 2022
Shengyu Fan
Zhiwei Wang
Weizhi Xu
Rui Hou
Dan Meng
Hao Fei
FedML
243
82
0
29 Dec 2022
User-Entity Differential Privacy in Learning Natural Language Models
Phung Lai
Nhathai Phan
Tong Sun
R. Jain
Franck Dernoncourt
Jiuxiang Gu
Nikolaos Barmpalios
FedML
230
0
0
01 Nov 2022
Medha: Microcoded Hardware Accelerator for computing on Encrypted Data
IACR Cryptology ePrint Archive (IACR ePrint), 2022
A. Mert
Sunmin Aikata
Sunmin Kwon
Youngsam Shin
Donghoon Yoo
Yongwoo Yoo
Sinha Roy
346
42
0
11 Oct 2022
Privacy-Preserving Text Classification on BERT Embeddings with Homomorphic Encryption
North American Chapter of the Association for Computational Linguistics (NAACL), 2022
Garam Lee
Minsoo Kim
J. Park
Seung-won Hwang
Jung Hee Cheon
237
20
0
05 Oct 2022
Verifiable Encodings for Secure Homomorphic Analytics
Sylvain Chatel
Christian Knabenhans
Apostolos Pyrgelis
Carmela Troncoso
Jean-Pierre Hubaux
354
25
0
28 Jul 2022
CryptoTL: Private, Efficient and Secure Transfer Learning
Roman Walch
Samuel Sousa
Lukas Helminger
Stefanie N. Lindstaedt
Christian Rechberger
A. Trugler
308
10
0
24 May 2022
How to keep text private? A systematic review of deep learning methods for privacy-preserving natural language processing
Artificial Intelligence Review (Artif Intell Rev), 2022
Samuel Sousa
Roman Kern
PILM
AILaw
289
65
0
20 May 2022
ARK: Fully Homomorphic Encryption Accelerator with Runtime Data Generation and Inter-Operation Key Reuse
Micro (MICRO), 2022
Jongmin Kim
Gwangho Lee
Sangpyo Kim
G. Sohn
John Kim
Minsoo Rhu
Jung Ho Ahn
256
162
0
02 May 2022
SoK: Privacy Preserving Machine Learning using Functional Encryption: Opportunities and Challenges
IEEE Internet of Things Journal (IEEE IoT J.), 2022
Prajwal Panzade
Daniel Takabi
244
13
0
11 Apr 2022
BTS: An Accelerator for Bootstrappable Fully Homomorphic Encryption
International Symposium on Computer Architecture (ISCA), 2021
Sangpyo Kim
Jongmin Kim
M. Kim
Wonkyung Jung
Minsoo Rhu
John Kim
Jung Ho Ahn
418
206
0
31 Dec 2021
SoK: Privacy-preserving Deep Learning with Homomorphic Encryption
Robert Podschwadt
Daniel Takabi
Peizhao Hu
FedML
305
10
0
23 Dec 2021
Fast Privacy-Preserving Text Classification based on Secure Multiparty Computation
IEEE Transactions on Information Forensics and Security (IEEE TIFS), 2021
A. Resende
Davis Railsback
Rafael Dowsley
Anderson C. A. Nascimento
Diego F. Aranha
267
22
0
18 Jan 2021
Practical Privacy-Preserving Data Science With Homomorphic Encryption: An Overview
Michela Iezzi
129
43
0
13 Nov 2020
CryptoGRU: Low Latency Privacy-Preserving Text Analysis With GRU
Bo Feng
Qian Lou
Lei Jiang
Geoffrey C. Fox
237
18
0
22 Oct 2020
POSEIDON: Privacy-Preserving Federated Neural Network Learning
Network and Distributed System Security Symposium (NDSS), 2020
Sinem Sav
Apostolos Pyrgelis
J. Troncoso-Pastoriza
D. Froelicher
Jean-Philippe Bossuat
João Sá Sousa
Jean-Pierre Hubaux
FedML
320
178
0
01 Sep 2020
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