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2011.01805
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HeLayers: A Tile Tensors Framework for Large Neural Networks on Encrypted Data
3 November 2020
E. Aharoni
Allon Adir
Moran Baruch
Nir Drucker
Gilad Ezov
Ariel Farkash
L. Greenberg
Ramy Masalha
Guy Moshkowich
Dov Murik
Hayim Shaul
Omri Soceanu
FedML
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Papers citing
"HeLayers: A Tile Tensors Framework for Large Neural Networks on Encrypted Data"
27 / 27 papers shown
CryptOracle: A Modular Framework to Characterize Fully Homomorphic Encryption
Cory Brynds
Parker McLeod
Lauren Caccamise
Asmita Pal
Dewan Saiham
Sazadur Rahman
Joshua San Miguel
Di Wu
FedML
289
1
0
30 Mar 2026
FHE-Agent: Automating CKKS Configuration for Practical Encrypted Inference via an LLM-Guided Agentic Framework
Nuo Xu
Zhaoting Gong
Ran Ran
Jinwei Tang
Wujie Wen
Caiwen Ding
179
0
0
23 Nov 2025
Efficient Decoding Methods for Language Models on Encrypted Data
Matan Avitan
Moran Baruch
Nir Drucker
Itamar Zimerman
Yoav Goldberg
201
3
0
10 Sep 2025
PP-STAT: An Efficient Privacy-Preserving Statistical Analysis Framework using Homomorphic Encryption
Hyunmin Choi
140
0
0
16 Aug 2025
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
Karthik Garimella
Austin Ebel
Gabrielle De Micheli
Brandon Reagen
FedML
270
5
0
22 Jun 2025
MOFHEI: Model Optimizing Framework for Fast and Efficient Homomorphically Encrypted Neural Network Inference
International Conference on Trust, Privacy and Security in Intelligent Systems and Applications (ICPSISA), 2024
Parsa Ghazvinian
Robert Podschwadt
Prajwal Panzade
Mohammad H. Rafiei
Daniel Takabi
293
1
0
10 Dec 2024
Power-Softmax: Towards Secure LLM Inference over Encrypted Data
Itamar Zimerman
Allon Adir
E. Aharoni
Matan Avitan
Moran Baruch
Nir Drucker
Jenny Lerner
Ramy Masalha
Reut Meiri
Omri Soceanu
232
11
0
12 Oct 2024
Investigating Privacy Attacks in the Gray-Box Setting to Enhance Collaborative Learning Schemes
Federico Mazzone
Ahmad Al Badawi
Y. Polyakov
Maarten Everts
Florian Hahn
Andreas Peter
MIACV
AAML
357
0
0
25 Sep 2024
Osiris: A Systolic Approach to Accelerating Fully Homomorphic Encryption
Austin Ebel
Brandon Reagen
202
5
0
18 Aug 2024
Converting Transformers to Polynomial Form for Secure Inference Over Homomorphic Encryption
International Conference on Machine Learning (ICML), 2023
Itamar Zimerman
Moran Baruch
Nir Drucker
Gilad Ezov
Omri Soceanu
Lior Wolf
282
25
0
15 Nov 2023
A Compiler from Array Programs to Vectorized Homomorphic Encryption
Rolph Recto
Andrew C. Myers
223
5
0
10 Nov 2023
MetisFL: An Embarrassingly Parallelized Controller for Scalable & Efficient Federated Learning Workflows
Dimitris Stripelis
Chrysovalantis Anastasiou
Patrick Toral
Armaghan Asghar
J. Ambite
339
2
0
01 Nov 2023
Toward Practical Privacy-Preserving Convolutional Neural Networks Exploiting Fully Homomorphic Encryption
J. Park
Donghwan Kim
Jongmin Kim
Sangpyo Kim
Wonkyung Jung
Jung Hee Cheon
Jung Ho Ahn
FedML
252
12
0
25 Oct 2023
Level Up: Private Non-Interactive Decision Tree Evaluation using Levelled Homomorphic Encryption
Conference on Computer and Communications Security (CCS), 2023
Rasoul Akhavan Mahdavi
Haoyan Ni
Dimitry Linkov
Florian Kerschbaum
206
20
0
12 Sep 2023
Communication-Efficient Search under Fully Homomorphic Encryption for Federated Machine Learning
Dongfang Zhao
FedML
188
2
0
09 Aug 2023
High-Resolution Convolutional Neural Networks on Homomorphically Encrypted Data via Sharding Ciphertexts
Vivian Maloney
R. Obrecht
V. Saraph
P. Rama
K. Tallaksen
247
5
0
15 Jun 2023
Generating One-Hot Maps under Encryption
International Conference on Cyber Security Cryptography and Machine Learning (ICCSCML), 2023
E. Aharoni
Nir Drucker
Eyal Kushnir
Ramy Masalha
Hayim Shaul
326
5
0
11 Jun 2023
Efficient Skip Connections Realization for Secure Inference on Encrypted Data
International Conference on Cyber Security Cryptography and Machine Learning (ICCSCML), 2023
Nir Drucker
Itamar Zimerman
125
1
0
11 Jun 2023
Training Large Scale Polynomial CNNs for E2E Inference over Homomorphic Encryption
Moran Baruch
Nir Drucker
Gilad Ezov
Yoav Goldberg
Eyal Kushnir
Jenny Lerner
Omri Soceanu
Itamar Zimerman
367
7
0
26 Apr 2023
DeepReShape: Redesigning Neural Networks for Efficient Private Inference
N. Jha
Brandon Reagen
407
16
0
20 Apr 2023
FedML-HE: An Efficient Homomorphic-Encryption-Based Privacy-Preserving Federated Learning System
Weizhao Jin
Yuhang Yao
Shanshan Han
Jiajun Gu
Carlee Joe-Wong
Yu Yang
A. Avestimehr
Chaoyang He
FedML
371
126
0
20 Mar 2023
HE-MAN -- Homomorphically Encrypted MAchine learning with oNnx models
International Conference on Machine Learning Technologies (ICMLT), 2023
Martin Nocker
David Drexel
Michael Rader
Alessio Montuoro
Pascal Schöttle
290
12
0
16 Feb 2023
HyPHEN: A Hybrid Packing Method and Optimizations for Homomorphic Encryption-Based Neural Networks
IEEE Access (IEEE Access), 2023
Donghwan Kim
J. Park
Jongmin Kim
Sangpyo Kim
Jung Ho Ahn
287
31
0
05 Feb 2023
mPSAuth: Privacy-Preserving and Scalable Authentication for Mobile Web Applications
David Monschein
O. P. Waldhorst
195
1
0
07 Oct 2022
Privacy-Preserving Federated Recurrent Neural Networks
Proceedings on Privacy Enhancing Technologies (PoPETs), 2022
Sinem Sav
Abdulrahman Diaa
Apostolos Pyrgelis
Jean-Philippe Bossuat
Jean-Pierre Hubaux
FedML
311
11
0
28 Jul 2022
A methodology for training homomorphicencryption friendly neural networks
Moran Baruch
Nir Drucker
L. Greenberg
Guy Moshkowich
279
17
0
05 Nov 2021
1
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