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SEALion: a Framework for Neural Network Inference on Encrypted Data

SEALion: a Framework for Neural Network Inference on Encrypted Data

29 April 2019
Tim van Elsloo
Giorgio Patrini
Hamish Ivey-Law
    FedML
ArXiv (abs)PDFHTML

Papers citing "SEALion: a Framework for Neural Network Inference on Encrypted Data"

21 / 21 papers shown
FastFHE: Packing-Scalable and Depthwise-Separable CNN Inference Over FHE
FastFHE: Packing-Scalable and Depthwise-Separable CNN Inference Over FHE
Wenbo Song
Xinxin Fan
Quanliang Jing
Shaoye Luo
Wenqi Wei
Chi Lin
Yunfeng Lu
Ling Liu
FedML
154
0
0
27 Nov 2025
HEIR: A Universal Compiler for Homomorphic Encryption
HEIR: A Universal Compiler for Homomorphic Encryption
Asra Ali
Jaeho Choi
Bryant Gipson
Shruthi Gorantala
Jeremy Kun
Wouter Legiest
Lawrence Lim
Alexander Viand
Meron Zerihun Demissie
Hongren Zheng
122
10
0
14 Aug 2025
HE-LRM: Efficient Private Embedding Lookups for Neural Inference Using Fully Homomorphic Encryption
HE-LRM: Efficient Private Embedding Lookups for Neural Inference Using Fully Homomorphic Encryption
Karthik Garimella
Austin Ebel
Gabrielle De Micheli
Brandon Reagen
FedML
262
5
0
22 Jun 2025
An Early Experience with Confidential Computing Architecture for On-Device Model Protection
An Early Experience with Confidential Computing Architecture for On-Device Model Protection
Sina Abdollahi
Mohammad Maheri
S. Siby
Marios Kogias
Hamed Haddadi
193
2
0
11 Apr 2025
GuaranTEE: Towards Attestable and Private ML with CCA
GuaranTEE: Towards Attestable and Private ML with CCA
S. Siby
Sina Abdollahi
Mohammad Maheri
Marios Kogias
Hamed Haddadi
365
12
0
29 Mar 2024
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
313
52
0
21 Mar 2024
A Compiler from Array Programs to Vectorized Homomorphic Encryption
A Compiler from Array Programs to Vectorized Homomorphic Encryption
Rolph Recto
Andrew C. Myers
221
5
0
10 Nov 2023
HE-MAN -- Homomorphically Encrypted MAchine learning with oNnx models
HE-MAN -- Homomorphically Encrypted MAchine learning with oNnx modelsInternational Conference on Machine Learning Technologies (ICMLT), 2023
Martin Nocker
David Drexel
Michael Rader
Alessio Montuoro
Pascal Schöttle
289
12
0
16 Feb 2023
Partially Oblivious Neural Network Inference
Partially Oblivious Neural Network InferenceInternational Conference on Security and Cryptography (SECRYPT), 2022
P. Rizomiliotis
Christos Diou
Aikaterini Triakosia
Ilias Kyrannas
Konstantinos Tserpes
FedML
178
4
0
27 Oct 2022
BlindFL: Vertical Federated Machine Learning without Peeking into Your
  Data
BlindFL: Vertical Federated Machine Learning without Peeking into Your Data
Fangcheng Fu
Huanran Xue
Yong Cheng
Yangyu Tao
Tengjiao Wang
FedML
264
74
0
16 Jun 2022
Deploying Convolutional Networks on Untrusted Platforms Using 2D
  Holographic Reduced Representations
Deploying Convolutional Networks on Untrusted Platforms Using 2D Holographic Reduced RepresentationsInternational Conference on Machine Learning (ICML), 2022
Mohammad Mahmudul Alam
Edward Raff
Tim Oates
James Holt
194
7
0
13 Jun 2022
A General Purpose Transpiler for Fully Homomorphic Encryption
A General Purpose Transpiler for Fully Homomorphic EncryptionIACR Cryptology ePrint Archive (IACR ePrint), 2021
Shruthi Gorantala
Rob Springer
Sean Purser-Haskell
William K. C. Lam
Royce J. Wilson
...
Aishe Krishnamurthy
Miguel Guevara
Irippuge Milinda Perera
Iurii Sushko
Bryant Gipson
138
61
0
15 Jun 2021
Privacy-Preserving Machine Learning with Fully Homomorphic Encryption
  for Deep Neural Network
Privacy-Preserving Machine Learning with Fully Homomorphic Encryption for Deep Neural NetworkIEEE Access (IEEE Access), 2021
Joon-Woo Lee
Hyungchul Kang
Yongwoo Lee
W. Choi
Jieun Eom
...
Eunsang Lee
Junghyun Lee
Donghoon Yoo
Young-Sik Kim
Jong-Seon No
257
342
0
14 Jun 2021
Precise Approximation of Convolutional Neural Networks for
  Homomorphically Encrypted Data
Precise Approximation of Convolutional Neural Networks for Homomorphically Encrypted DataIEEE Access (IEEE Access), 2021
Junghyun Lee
Eunsang Lee
Joon-Woo Lee
Yongjune Kim
Young-Sik Kim
Jong-Seon No
537
72
0
23 May 2021
Enabling Homomorphically Encrypted Inference for Large DNN Models
Enabling Homomorphically Encrypted Inference for Large DNN ModelsIEEE transactions on computers (IEEE Trans. Comput.), 2021
Guillermo Lloret-Talavera
Marc Jordà
Harald Servat
Fabian Boemer
C. Chauhan
S. Tomishima
Nilesh N. Shah
Antonio J. Peña
AI4CEFedML
280
34
0
30 Mar 2021
SoK: Fully Homomorphic Encryption Compilers
SoK: Fully Homomorphic Encryption CompilersIEEE Symposium on Security and Privacy (IEEE S&P), 2021
Alexander Viand
Patrick Jattke
Anwar Hithnawi
194
116
0
18 Jan 2021
SoK: Training Machine Learning Models over Multiple Sources with Privacy
  Preservation
SoK: Training Machine Learning Models over Multiple Sources with Privacy Preservation
Lushan Song
Guopeng Lin
Jiaxuan Wang
Haoqi Wu
Wenqiang Ruan
Weili Han
549
9
0
06 Dec 2020
HeLayers: A Tile Tensors Framework for Large Neural Networks on
  Encrypted Data
HeLayers: A Tile Tensors Framework for Large Neural Networks on Encrypted Data
E. Aharoni
Allon Adir
Moran Baruch
Nir Drucker
Gilad Ezov
...
Ramy Masalha
Guy Moshkowich
Dov Murik
Hayim Shaul
Omri Soceanu
FedML
403
84
0
03 Nov 2020
Offline Model Guard: Secure and Private ML on Mobile Devices
Offline Model Guard: Secure and Private ML on Mobile Devices
Sebastian P. Bayerl
Tommaso Frassetto
Patrick Jauernig
Korbinian Riedhammer
A. Sadeghi
T. Schneider
Emmanuel Stapf
Christian Weinert
OffRL
280
53
0
05 Jul 2020
CryptoSPN: Privacy-preserving Sum-Product Network Inference
CryptoSPN: Privacy-preserving Sum-Product Network InferenceEuropean Conference on Artificial Intelligence (ECAI), 2020
Amos Treiber
Alejandro Molina
Christian Weinert
T. Schneider
Kristian Kersting
259
11
0
03 Feb 2020
nGraph-HE2: A High-Throughput Framework for Neural Network Inference on
  Encrypted Data
nGraph-HE2: A High-Throughput Framework for Neural Network Inference on Encrypted DataIACR Cryptology ePrint Archive (IACR ePrint), 2019
Fabian Boemer
Anamaria Costache
Rosario Cammarota
Casimir Wierzynski
GNN
411
192
0
12 Aug 2019
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