nGraph-HE: A Graph Compiler for Deep Learning on Homomorphically Encrypted Data

23 October 2018

Papers citing "nGraph-HE: A Graph Compiler for Deep Learning on Homomorphically Encrypted Data"

49 / 49 papers shown

Title
SECO: Secure Inference With Model Splitting Across Multi-Server Hierarchy Shuangyi Chen Ashish Khisti 16 2 0 24 Apr 2024
Batch-oriented Element-wise Approximate Activation for Privacy-Preserving Neural Networks Peng Zhang Ao Duan Xianglu Zou Yuhong Liu 16 0 0 16 Mar 2024
A Framework for Cost-Effective and Self-Adaptive LLM Shaking and Recovery Mechanism Zhiyuan Chen Yu Li Suochao Zhang Jingbo Zhou Jiwen Zhou Chenfu Bao Dianhai Yu 26 0 0 12 Mar 2024
Privacy-Preserving Diffusion Model Using Homomorphic Encryption Yaojian Chen Qiben Yan 37 4 0 09 Mar 2024
Neural Networks with (Low-Precision) Polynomial Approximations: New Insights and Techniques for Accuracy Improvement Chi Zhang Jingjing Fan Man Ho Au S. Yiu 22 1 0 17 Feb 2024
A Compiler from Array Programs to Vectorized Homomorphic Encryption Rolph Recto Andrew C. Myers 13 1 0 10 Nov 2023
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
Hyperdimensional Computing as a Rescue for Efficient Privacy-Preserving Machine Learning-as-a-Service Jaewoo Park Cheng-Guang Quan H.-J. Moon Jongeun Lee 19 1 0 17 Aug 2023
slytHErin: An Agile Framework for Encrypted Deep Neural Network Inference Francesco Intoci Sinem Sav Apostolos Pyrgelis Jean-Philippe Bossuat J. Troncoso-Pastoriza Jean-Pierre Hubaux FedML 11 1 0 01 May 2023
Towards Automated Homomorphic Encryption Parameter Selection with Fuzzy Logic and Linear Programming José Cabrero-Holgueras S. Pastrana 19 7 0 17 Feb 2023
HE-MAN -- Homomorphically Encrypted MAchine learning with oNnx models Martin Nocker David Drexel Michael Rader Alessio Montuoro Pascal Schöttle 19 6 0 16 Feb 2023
TT-TFHE: a Torus Fully Homomorphic Encryption-Friendly Neural Network Architecture Adrien Benamira Tristan Guérand Thomas Peyrin Sayandeep Saha 27 6 0 03 Feb 2023
SFPDML: Securer and Faster Privacy-Preserving Distributed Machine Learning based on MKTFHE Hongxiao Wang Z. L. Jiang Yanmin Zhao S. Yiu Peng Yang Man Chen Zejiu Tan Bohan Jin 13 0 0 17 Nov 2022
Private and Reliable Neural Network Inference Nikola Jovanović Marc Fischer Samuel Steffen Martin Vechev 14 14 0 27 Oct 2022
Partially Oblivious Neural Network Inference P. Rizomiliotis Christos Diou Aikaterini Triakosia Ilias Kyrannas Konstantinos Tserpes FedML 18 3 0 27 Oct 2022
ALT: Boosting Deep Learning Performance by Breaking the Wall between Graph and Operator Level Optimizations Zhiying Xu Jiafan Xu H. Peng Wei Wang Xiaoliang Wang ... Haipeng Dai Yixu Xu Hao Cheng Kun Wang Guihai Chen 20 0 0 22 Oct 2022
Efficient ML Models for Practical Secure Inference Vinod Ganesan Anwesh Bhattacharya Pratyush Kumar Divya Gupta Rahul Sharma Nishanth Chandran MedIm 53 5 0 26 Aug 2022
THE-X: Privacy-Preserving Transformer Inference with Homomorphic Encryption Tianyu Chen Hangbo Bao Shaohan Huang Li Dong Binxing Jiao Daxin Jiang Haoyi Zhou Jianxin Li Furu Wei 15 96 0 01 Jun 2022
Privacy-Preserving Distributed Machine Learning Made Faster Z. L. Jiang Jiajing Gu Hongxiao Wang Yulin Wu Jun-bin Fang S. Yiu Wenjian Luo Xuan Wang FedML 11 3 0 12 May 2022
HECO: Fully Homomorphic Encryption Compiler Alexander Viand Patrick Jattke Miro Haller Anwar Hithnawi 31 14 0 03 Feb 2022
SoK: Privacy-preserving Deep Learning with Homomorphic Encryption Robert Podschwadt Daniel Takabi Peizhao Hu FedML 16 6 0 23 Dec 2021
Accelerating Encrypted Computing on Intel GPUs Yujia Zhai Mohannad Ibrahim Yiqin Qiu Fabian Boemer Zizhong Chen Alexey Titov Alexander Lyashevsky 21 26 0 29 Sep 2021
A General Purpose Transpiler for Fully Homomorphic Encryption 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 19 49 0 15 Jun 2021
Privacy-Preserving Machine Learning with Fully Homomorphic Encryption for Deep Neural Network Joon-Woo Lee Hyungchul Kang Yongwoo Lee W. Choi Jieun Eom ... Eunsang Lee Junghyun Lee Donghoon Yoo Young-Sik Kim Jong-Seon No 15 245 0 14 Jun 2021
Precise Approximation of Convolutional Neural Networks for Homomorphically Encrypted Data Junghyun Lee Eunsang Lee Joon-Woo Lee Yongjune Kim Young-Sik Kim Jong-Seon No 16 55 0 23 May 2021
SIRNN: A Math Library for Secure RNN Inference Deevashwer Rathee Mayank Rathee R. Goli Divya Gupta Rahul Sharma Nishanth Chandran Aseem Rastogi 16 102 0 10 May 2021
TenSEAL: A Library for Encrypted Tensor Operations Using Homomorphic Encryption Ayoub Benaissa Bilal Retiat Bogdan Cebere Alaa Eddine Belfedhal FedML 14 129 0 07 Apr 2021
Enabling Homomorphically Encrypted Inference for Large DNN Models Guillermo Lloret-Talavera Marc Jordà Harald Servat Fabian Boemer C. Chauhan S. Tomishima Nilesh N. Shah Antonio J. Peña AI4CE FedML 14 27 0 30 Mar 2021
CaPC Learning: Confidential and Private Collaborative Learning Christopher A. Choquette-Choo Natalie Dullerud Adam Dziedzic Yunxiang Zhang S. Jha Nicolas Papernot Xiao Wang FedML 65 57 0 09 Feb 2021
FFConv: Fast Factorized Convolutional Neural Network Inference on Encrypted Data Yu-Ching Lu Jie Lin Chao Jin Zhe Wang Min-man Wu Khin Mi Mi Aung Xiaoli Li 11 1 0 06 Feb 2021
SoK: Fully Homomorphic Encryption Compilers Alexander Viand Patrick Jattke Anwar Hithnawi 38 98 0 18 Jan 2021
Secure Medical Image Analysis with CrypTFlow Javier Alvarez-Valle Pratik Bhatu Nishanth Chandran Divya Gupta A. Nori Aseem Rastogi Mayank Rathee Rahul Sharma Shubham Ugare MedIm 10 13 0 09 Dec 2020
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 8 55 0 03 Nov 2020
CrypTFlow2: Practical 2-Party Secure Inference Deevashwer Rathee Mayank Rathee Nishant Kumar Nishanth Chandran Divya Gupta Aseem Rastogi Rahul Sharma 84 301 0 13 Oct 2020
Encrypted control for networked systems -- An illustrative introduction and current challenges M. S. Darup A. Alexandru D. Quevedo G. J. Pappas 16 109 0 01 Oct 2020
Accelerating 2PC-based ML with Limited Trusted Hardware M. Nawaz Aditya Gulati Kunlong Liu Vishwajeet Agrawal P. Ananth Trinabh Gupta 9 2 0 11 Sep 2020
Highly Accurate CNN Inference Using Approximate Activation Functions over Homomorphic Encryption Takumi Ishiyama Takuya Suzuki Hayato Yamana 13 36 0 08 Sep 2020
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 11 153 0 01 Sep 2020
Woodpecker-DL: Accelerating Deep Neural Networks via Hardware-Aware Multifaceted Optimizations Yongchao Liu Yue Jin Yongqi Chen Teng Teng Hang Ou Rui Zhao Yao Zhang 14 1 0 11 Aug 2020
Trustworthy AI Inference Systems: An Industry Research View Rosario Cammarota M. Schunter Anand Rajan Fabian Boemer Ágnes Kiss ... Aydin Aysu Fateme S. Hosseini Chengmo Yang Eric Wallace Pam Norton 12 14 0 10 Aug 2020
Automatic Horizontal Fusion for GPU Kernels Ao Li Bojian Zheng Gennady Pekhimenko Fan Long 6 43 0 02 Jul 2020
ARIANN: Low-Interaction Privacy-Preserving Deep Learning via Function Secret Sharing T. Ryffel Pierre Tholoniat D. Pointcheval Francis R. Bach FedML 16 94 0 08 Jun 2020
Attacks on Image Encryption Schemes for Privacy-Preserving Deep Neural Networks Alexander Chang Benjamin M. Case 6 31 0 28 Apr 2020
A Privacy-Preserving Distributed Architecture for Deep-Learning-as-a-Service Simone Disabato Alessandro Falcetta Alessio Mongelluzzo M. Roveri FedML 6 13 0 30 Mar 2020
CrypTFlow: Secure TensorFlow Inference Nishant Kumar Mayank Rathee Nishanth Chandran Divya Gupta Aseem Rastogi Rahul Sharma 96 235 0 16 Sep 2019
nGraph-HE2: A High-Throughput Framework for Neural Network Inference on Encrypted Data Fabian Boemer Anamaria Costache Rosario Cammarota Casimir Wierzynski GNN 13 170 0 12 Aug 2019
SHE: A Fast and Accurate Deep Neural Network for Encrypted Data Qian Lou Lei Jiang 13 120 0 01 Jun 2019
HARK Side of Deep Learning -- From Grad Student Descent to Automated Machine Learning O. Gencoglu M. Gils E. Guldogan Chamin Morikawa Mehmet Süzen M. Gruber J. Leinonen H. Huttunen 11 36 0 16 Apr 2019
Low Latency Privacy Preserving Inference Alon Brutzkus Oren Elisha Ran Gilad-Bachrach FedML 10 228 0 27 Dec 2018