Gazelle: A Low Latency Framework for Secure Neural Network Inference

16 January 2018

Papers citing "Gazelle: A Low Latency Framework for Secure Neural Network Inference"

50 / 311 papers shown

Title
Optimizing Secure Decision Tree Inference Outsourcing Yifeng Zheng Cong Wang Ruochen Wang Huayi Duan Surya Nepal 63 6 0 31 Oct 2021
Privacy Aware Person Detection in Surveillance Data Sander De Coninck Sam Leroux Pieter Simoens 43 2 0 28 Oct 2021
EDLaaS: Fully Homomorphic Encryption Over Neural Network Graphs for Vision and Private Strawberry Yield Forecasting George Onoufriou Marc Hanheide Georgios Leontidis FedML 82 4 0 26 Oct 2021
Efficient privacy-preserving inference for convolutional neural networks Han Xuanyuan Francisco Vargas Stephen Cummins 49 0 0 15 Oct 2021
Application of Homomorphic Encryption in Medical Imaging Francis Dutil Alexandre See Lisa Di-Jorio F. Chandelier MedIm 33 3 0 12 Oct 2021
Morse-STF: Improved Protocols for Privacy-Preserving Machine Learning Qizhi Zhang Sijun Tan Lichun Li Yun Zhao Dong Yin Shan Yin 33 1 0 24 Sep 2021
Input-Output History Feedback Controller for Encrypted Control with Leveled Fully Homomorphic Encryption K. Teranishi T. Sadamoto K. Kogiso 51 20 0 22 Sep 2021
SoK: Machine Learning Governance Varun Chandrasekaran Hengrui Jia Anvith Thudi Adelin Travers Mohammad Yaghini Nicolas Papernot 137 16 0 20 Sep 2021
F1: A Fast and Programmable Accelerator for Fully Homomorphic Encryption (Extended Version) Axel S. Feldmann Nikola Samardzic A. Krastev S. Devadas R. Dreslinski Karim M. El Defrawy Nicholas Genise Chris Peikert Daniel Sánchez 126 263 0 11 Sep 2021
FDFB: Full Domain Functional Bootstrapping Towards Practical Fully Homomorphic Encryption Kamil Kluczniak L. Schild FedML 26 51 0 06 Sep 2021
CrypTen: Secure Multi-Party Computation Meets Machine Learning Brian Knott Shobha Venkataraman Awni Y. Hannun Shubho Sengupta Mark Ibrahim Laurens van der Maaten 107 364 0 02 Sep 2021
Privacy-preserving Machine Learning for Medical Image Classification Shreyansh Singh K. Shukla 28 5 0 29 Aug 2021
Towards Secure and Practical Machine Learning via Secret Sharing and Random Permutation Fei Zheng Chaochao Chen Xiaolin Zheng Mingjie Zhu FedML 40 21 0 17 Aug 2021
Blind Faith: Privacy-Preserving Machine Learning using Function Approximation Tanveer Khan Alexandros Bakas A. Michalas 26 18 0 29 Jul 2021
Fully Homomorphically Encrypted Deep Learning as a Service George Onoufriou Paul Mayfield Georgios Leontidis FedML 62 19 0 26 Jul 2021
Sisyphus: A Cautionary Tale of Using Low-Degree Polynomial Activations in Privacy-Preserving Deep Learning Karthik Garimella N. Jha Brandon Reagen 92 19 0 26 Jul 2021
LAORAM: A Look Ahead ORAM Architecture for Training Large Embedding Tables Rachit Rajat Yongqin Wang M. Annavaram 27 12 0 16 Jul 2021
Popcorn: Paillier Meets Compression For Efficient Oblivious Neural Network Inference Jun Wang Chao Jin S. Meftah Khin Mi Mi Aung UQCV 33 3 0 05 Jul 2021
Secure Quantized Training for Deep Learning Marcel Keller Ke Sun MQ 59 68 0 01 Jul 2021
DeepAuditor: Distributed Online Intrusion Detection System for IoT devices via Power Side-channel Auditing Woosub Jung Yizhou Feng S. Khan Chunsheng Xin Danella Zhao Gang Zhou 16 6 0 24 Jun 2021
MAGE: Nearly Zero-Cost Virtual Memory for Secure Computation Sam Kumar David Culler Raluca A. Popa 53 21 0 23 Jun 2021
Sphynx: ReLU-Efficient Network Design for Private Inference Minsu Cho Zahra Ghodsi Brandon Reagen S. Garg Chinmay Hegde 69 24 0 17 Jun 2021
Circa: Stochastic ReLUs for Private Deep Learning Zahra Ghodsi N. Jha Brandon Reagen S. Garg 69 34 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 95 252 0 14 Jun 2021
NeuraCrypt: Hiding Private Health Data via Random Neural Networks for Public Training Adam Yala H. Esfahanizadeh Rafael G. L. DÓliveira K. Duffy M. Ghobadi Tommi Jaakkola Vinod Vaikuntanathan Regina Barzilay Muriel Médard OOD FedML 65 22 0 04 Jun 2021
Adam in Private: Secure and Fast Training of Deep Neural Networks with Adaptive Moment Estimation Nuttapong Attrapadung Koki Hamada Dai Ikarashi Ryo Kikuchi Takahiro Matsuda Ibuki Mishina Hiraku Morita Jacob C. N. Schuldt 52 27 0 04 Jun 2021
HEMET: A Homomorphic-Encryption-Friendly Privacy-Preserving Mobile Neural Network Architecture Qian Lou Lei Jiang 109 68 0 31 May 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 115 58 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 62 111 0 10 May 2021
Analysis and Mitigations of Reverse Engineering Attacks on Local Feature Descriptors Deeksha Dangwal Vincent T. Lee Hyo Jin Kim Tianwei Shen M. Cowan ... Brandon Reagen Tim Sherwood Vasileios Balntas Armin Alaghi Eddy Ilg AAML 56 15 0 09 May 2021
GALA: Greedy ComputAtion for Linear Algebra in Privacy-Preserved Neural Networks Qiao Zhang Chunsheng Xin Hongyi Wu 67 49 0 05 May 2021
SoK: Opportunities for Software-Hardware-Security Codesign for Next Generation Secure Computing Deeksha Dangwal M. Cowan Armin Alaghi Vincent T. Lee Brandon Reagen Caroline Trippel 22 2 0 02 May 2021
Privacy and Integrity Preserving Training Using Trusted Hardware H. Hashemi Yongqin Wang M. Annavaram FedML 29 0 0 01 May 2021
Unsupervised Information Obfuscation for Split Inference of Neural Networks Mohammad Samragh H. Hosseini Aleksei Triastcyn K. Azarian Joseph B. Soriaga F. Koushanfar 59 11 0 23 Apr 2021
CryptGPU: Fast Privacy-Preserving Machine Learning on the GPU Sijun Tan Brian Knott Yuan Tian David J. Wu BDL FedML 106 193 0 22 Apr 2021
Practical Two-party Privacy-preserving Neural Network Based on Secret Sharing ZhengQiang Ge Zhipeng Zhou Dong Guo Qiang Li FedML 31 5 0 10 Apr 2021
TenSEAL: A Library for Encrypted Tensor Operations Using Homomorphic Encryption Ayoub Benaissa Bilal Retiat Bogdan Cebere Alaa Eddine Belfedhal FedML 106 139 0 07 Apr 2021
Enabling Inference Privacy with Adaptive Noise Injection Sanjay Kariyappa Ousmane Amadou Dia Moinuddin K. Qureshi 56 5 0 06 Apr 2021
Perun: Secure Multi-Stakeholder Machine Learning Framework with GPU Support W. Ożga D. Quoc Christof Fetzer FedML 30 4 0 31 Mar 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 102 27 0 30 Mar 2021
Practical Encrypted Computing for IoT Clients McKenzie van der Hagen Brandon Lucia 58 8 0 11 Mar 2021
A Study of Face Obfuscation in ImageNet Kaiyu Yang Jacqueline Yau Li Fei-Fei Jia Deng Olga Russakovsky PICV CVBM 103 147 0 10 Mar 2021
Efficient Encrypted Inference on Ensembles of Decision Trees Kanthi Kiran Sarpatwar Karthik Nandakumar Nalini Ratha J. Rayfield Karthikeyan Shanmugam Sharath Pankanti Roman Vaculin FedML 115 5 0 05 Mar 2021
DeepReDuce: ReLU Reduction for Fast Private Inference N. Jha Zahra Ghodsi S. Garg Brandon Reagen 101 91 0 02 Mar 2021
ppAURORA: Privacy Preserving Area Under Receiver Operating Characteristic and Precision-Recall Curves Ali Burak Ünal Nícolas Pfeifer Mete Akgün 69 4 0 17 Feb 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 125 58 0 09 Feb 2021
Privacy-preserving Cloud-based DNN Inference Shangyu Xie Bingyu Liu Yuan Hong FedML 21 6 0 07 Feb 2021
Privacy-Preserving Video Classification with Convolutional Neural Networks Sikha Pentyala Rafael Dowsley Martine De Cock PICV 95 21 0 06 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 77 1 0 06 Feb 2021
SAFELearning: Enable Backdoor Detectability In Federated Learning With Secure Aggregation Zhuosheng Zhang Jiarui Li Shucheng Yu C. Makaya FedML 53 22 0 04 Feb 2021