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
Defending Model Inversion and Membership Inference Attacks via Prediction Purification Ziqi Yang Bin Shao Bohan Xuan E. Chang Fan Zhang AAML 77 71 0 08 May 2020
CPU and GPU Accelerated Fully Homomorphic Encryption Toufique Morshed Md Momin Al Aziz N. Mohammed 40 41 0 05 May 2020
Privacy in Deep Learning: A Survey Fatemehsadat Mirshghallah Mohammadkazem Taram Praneeth Vepakomma Abhishek Singh Ramesh Raskar H. Esmaeilzadeh FedML 116 139 0 25 Apr 2020
ArchNet: Data Hiding Model in Distributed Machine Learning System Kaiyan Chang Wei Jiang Xiangyu Wen Zicheng Gong Weijia Pan FedML 40 0 0 23 Apr 2020
MGX: Near-Zero Overhead Memory Protection for Data-Intensive Accelerators Weizhe Hua M. Umar Zhiru Zhang G. E. Suh GNN 93 21 0 20 Apr 2020
PrivEdge: From Local to Distributed Private Training and Prediction Ali Shahin Shamsabadi Adria Gascon Hamed Haddadi Andrea Cavallaro 60 19 0 12 Apr 2020
FALCON: Honest-Majority Maliciously Secure Framework for Private Deep Learning Sameer Wagh Shruti Tople Fabrice Benhamouda E. Kushilevitz Prateek Mittal T. Rabin FedML 92 303 0 05 Apr 2020
A Privacy-Preserving Distributed Architecture for Deep-Learning-as-a-Service Simone Disabato Alessandro Falcetta Alessio Mongelluzzo M. Roveri FedML 89 14 0 30 Mar 2020
HERS: Homomorphically Encrypted Representation Search Joshua J. Engelsma Anil K. Jain Vishnu Boddeti 106 52 0 27 Mar 2020
Not All Features Are Equal: Discovering Essential Features for Preserving Prediction Privacy Fatemehsadat Mireshghallah Mohammadkazem Taram A. Jalali Ahmed T. Elthakeb Dean Tullsen H. Esmaeilzadeh 65 12 0 26 Mar 2020
ENSEI: Efficient Secure Inference via Frequency-Domain Homomorphic Convolution for Privacy-Preserving Visual Recognition S. Bian Tianchen Wang Masayuki Hiromoto Yiyu Shi Takashi Sato FedML 62 30 0 11 Mar 2020
Optimizing Privacy-Preserving Outsourced Convolutional Neural Network Predictions Minghui Li Sherman S. M. Chow Shengshan Hu Yuejing Yan Minxin Du Peng Kuang 47 45 0 22 Feb 2020
CryptoSPN: Privacy-preserving Sum-Product Network Inference Amos Treiber Alejandro Molina Christian Weinert T. Schneider Kristian Kersting 56 10 0 03 Feb 2020
NASS: Optimizing Secure Inference via Neural Architecture Search S. Bian Weiwen Jiang Qing Lu Yiyu Shi Takashi Sato 78 26 0 30 Jan 2020
Machine Unlearning Lucas Bourtoule Varun Chandrasekaran Christopher A. Choquette-Choo Hengrui Jia Adelin Travers Baiwu Zhang David Lie Nicolas Papernot MU 171 887 0 09 Dec 2019
Privacy-Preserving Inference in Machine Learning Services Using Trusted Execution Environments Krishnagiri Narra Zhifeng Lin Yongqin Wang Keshav Balasubramaniam M. Annavaram BDL FedML 54 46 0 07 Dec 2019
Towards Security Threats of Deep Learning Systems: A Survey Yingzhe He Guozhu Meng Kai Chen Xingbo Hu Jinwen He AAML ELM 56 14 0 28 Nov 2019
Crypto-Oriented Neural Architecture Design Avital Shafran Gil Segev Shmuel Peleg Yedid Hoshen 56 8 0 27 Nov 2019
Survey of Attacks and Defenses on Edge-Deployed Neural Networks Mihailo Isakov V. Gadepally K. Gettings Michel A. Kinsy AAML 51 31 0 27 Nov 2019
Privacy preserving Neural Network Inference on Encrypted Data with GPUs Daniel Takabi Robert Podschwadt Jeff Druce Curt Wu Kevin Procopio FedML 34 12 0 26 Nov 2019
CHEETAH: An Ultra-Fast, Approximation-Free, and Privacy-Preserved Neural Network Framework based on Joint Obscure Linear and Nonlinear Computations Qiao Zhang Cong Wang Chunsheng Xin Hongyi Wu 27 4 0 12 Nov 2019
Secure Evaluation of Quantized Neural Networks Anders Dalskov Daniel E. Escudero Marcel Keller 90 143 0 28 Oct 2019
Privacy-Preserving Multi-Party Contextual Bandits Awni Y. Hannun Brian Knott Shubho Sengupta Laurens van der Maaten 53 6 0 11 Oct 2019
Towards Efficient and Secure Delivery of Data for Deep Learning with Privacy-Preserving Juncheng Shen Juzheng Liu Yiran Chen H. Li FedML 18 6 0 17 Sep 2019
CrypTFlow: Secure TensorFlow Inference Nishant Kumar Mayank Rathee Nishanth Chandran Divya Gupta Aseem Rastogi Rahul Sharma 156 244 0 16 Sep 2019
PrivFT: Private and Fast Text Classification with Homomorphic Encryption Ahmad Al Badawi Louie Hoang Chan Fook Mun Kim Laine Khin Mi Mi Aung 57 80 0 19 Aug 2019
nGraph-HE2: A High-Throughput Framework for Neural Network Inference on Encrypted Data Fabian Boemer Anamaria Costache Rosario Cammarota Casimir Wierzynski GNN 137 173 0 12 Aug 2019
Helen: Maliciously Secure Coopetitive Learning for Linear Models Wenting Zheng Raluca A. Popa Joseph E. Gonzalez Ion Stoica FedML 81 144 0 16 Jul 2019
Communication-Efficient (Client-Aided) Secure Two-Party Protocols and Its Application Satsuya Ohata K. Nuida 15 34 0 08 Jul 2019
Making targeted black-box evasion attacks effective and efficient Mika Juuti B. Atli Nadarajah Asokan AAML MIACV MLAU 41 8 0 08 Jun 2019
BAYHENN: Combining Bayesian Deep Learning and Homomorphic Encryption for Secure DNN Inference Peichen Xie Bingzhe Wu Guangyu Sun BDL FedML 49 33 0 03 Jun 2019
INFaaS: A Model-less and Managed Inference Serving System Francisco Romero Qian Li N. Yadwadkar Christos Kozyrakis 51 14 0 30 May 2019
Shredder: Learning Noise Distributions to Protect Inference Privacy Fatemehsadat Mireshghallah Mohammadkazem Taram Prakash Ramrakhyani Dean Tullsen H. Esmaeilzadeh 57 11 0 26 May 2019
AI Enabling Technologies: A Survey V. Gadepally Justin A. Goodwin J. Kepner Albert Reuther Hayley Reynolds S. Samsi Jonathan Su David Martinez 43 25 0 08 May 2019
SEALion: a Framework for Neural Network Inference on Encrypted Data Tim van Elsloo Giorgio Patrini Hamish Ivey-Law FedML 140 42 0 29 Apr 2019
Private Hierarchical Clustering and Efficient Approximation Xianrui Meng D. Papadopoulos Alina Oprea Nikos Triandopoulos FedML 23 0 0 09 Apr 2019
SANNS: Scaling Up Secure Approximate k-Nearest Neighbors Search Hao Chen Ilaria Chillotti Yihe Dong Oxana Poburinnaya Ilya P. Razenshteyn M. Riazi 91 59 0 03 Apr 2019
Adversarial Neural Network Inversion via Auxiliary Knowledge Alignment Ziqi Yang E. Chang Zhenkai Liang MLAU 77 60 0 22 Feb 2019
XONN: XNOR-based Oblivious Deep Neural Network Inference M. Riazi Mohammad Samragh Hao Chen Kim Laine Kristin E. Lauter F. Koushanfar FedML GNN BDL 81 282 0 19 Feb 2019
Drynx: Decentralized, Secure, Verifiable System for Statistical Queries and Machine Learning on Distributed Datasets D. Froelicher J. Troncoso-Pastoriza João Sá Sousa Jean-Pierre Hubaux OOD SyDa 94 50 0 11 Feb 2019
ARM2GC: Succinct Garbled Processor for Secure Computation Ebrahim M. Songhori M. Riazi S. Hussain A. Sadeghi F. Koushanfar 19 18 0 08 Feb 2019
Stealing Neural Networks via Timing Side Channels Vasisht Duddu D. Samanta D. V. Rao V. Balas AAML MLAU FedML 89 135 0 31 Dec 2018
Low Latency Privacy Preserving Inference Alon Brutzkus Oren Elisha Ran Gilad-Bachrach FedML 160 235 0 27 Dec 2018
No Peek: A Survey of private distributed deep learning Praneeth Vepakomma Tristan Swedish Ramesh Raskar O. Gupta Abhimanyu Dubey SyDa FedML 70 100 0 08 Dec 2018
Blockchain Enabled Trustless API Marketplace Vijay Arya Sayandeep Sen Palanivel A. Kodeswaran 16 7 0 05 Dec 2018
Outsourcing Private Machine Learning via Lightweight Secure Arithmetic Computation S. Garg Zahra Ghodsi Carmit Hazay Yuval Ishai Antonio Marcedone Muthuramakrishnan Venkitasubramaniam FedML 79 2 0 04 Dec 2018
MOBIUS: Model-Oblivious Binarized Neural Networks Hiromasa Kitai Jason Paul Cruz Naoto Yanai Naohisa Nishida Tatsumi Oba Yuji Unagami Tadanori Teruya Nuttapong Attrapadung Takahiro Matsuda Goichiro Hanaoka 48 7 0 29 Nov 2018
FALCON: A Fourier Transform Based Approach for Fast and Secure Convolutional Neural Network Predictions Shaohua Li Kaiping Xue Chenkai Ding Xindi Gao David S. L. Wei Tao Wan F. Wu 59 68 0 20 Nov 2018
Towards the AlexNet Moment for Homomorphic Encryption: HCNN, theFirst Homomorphic CNN on Encrypted Data with GPUs Ahmad Al Badawi Jin Chao Jie Lin Chan Fook Mun Sim Jun Jie B. Tan Xiao Nan Khin Mi Mi Aung V. Chandrasekhar 85 64 0 02 Nov 2018
Conditionals in Homomorphic Encryption and Machine Learning Applications Diego Chialva A. Dooms 53 30 0 29 Oct 2018