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
MPCFormer: fast, performant and private Transformer inference with MPC Dacheng Li Rulin Shao Hongyi Wang Han Guo Eric P. Xing Haotong Zhang 83 87 0 02 Nov 2022
Private and Reliable Neural Network Inference Nikola Jovanović Marc Fischer Samuel Steffen Martin Vechev 60 15 0 27 Oct 2022
Partially Oblivious Neural Network Inference P. Rizomiliotis Christos Diou Aikaterini Triakosia Ilias Kyrannas Konstantinos Tserpes FedML 52 3 0 27 Oct 2022
On the Robustness of Dataset Inference S. Szyller Rui Zhang Enchao Gong Nadarajah Asokan AAML 62 6 0 24 Oct 2022
Efficient Privacy-Preserving Machine Learning with Lightweight Trusted Hardware Pengzhi Huang Thang Hoang Yueying Li Elaine Shi G. E. Suh 44 3 0 18 Oct 2022
Scaling up Trustless DNN Inference with Zero-Knowledge Proofs Daniel Kang Tatsunori Hashimoto Ion Stoica Yi Sun LRM 56 43 0 17 Oct 2022
New Secure Sparse Inner Product with Applications to Machine Learning Guowen Xu Shengmin Xu Jianting Ning Tianwei Zhang Xinyi Huang Hongwei Li Rongxing Lu 15 1 0 16 Oct 2022
VerifyML: Obliviously Checking Model Fairness Resilient to Malicious Model Holder Guowen Xu Xingshuo Han Gelei Deng Tianwei Zhang Shengmin Xu Jianting Ning Anjia Yang Hongwei Li 56 4 0 16 Oct 2022
ScionFL: Efficient and Robust Secure Quantized Aggregation Y. Ben-Itzhak Helen Mollering Benny Pinkas T. Schneider Ajith Suresh Oleksandr Tkachenko S. Vargaftik Christian Weinert Hossein Yalame Avishay Yanai 64 7 0 13 Oct 2022
Bicoptor: Two-round Secure Three-party Non-linear Computation without Preprocessing for Privacy-preserving Machine Learning Lijing Zhou Ziyu Wang Hongrui Cui Qingrui Song Yu Yu 100 13 0 05 Oct 2022
CryptoGCN: Fast and Scalable Homomorphically Encrypted Graph Convolutional Network Inference Ran Ran Nuo Xu Wei Wang Quan Gang Jieming Yin Wujie Wen GNN 69 23 0 24 Sep 2022
Audit and Improve Robustness of Private Neural Networks on Encrypted Data Jiaqi Xue Lei Xu Lin Chen W. Shi Kaidi Xu Qian Lou AAML 71 5 0 20 Sep 2022
PolyMPCNet: Towards ReLU-free Neural Architecture Search in Two-party Computation Based Private Inference Hongwu Peng Shangli Zhou Yukui Luo Shijin Duan Nuo Xu ... Tong Geng Ang Li Wujie Wen Xiaolin Xu Caiwen Ding 66 4 0 20 Sep 2022
SEEK: model extraction attack against hybrid secure inference protocols Si-Quan Chen Junfeng Fan MIACV 53 2 0 14 Sep 2022
Secure Shapley Value for Cross-Silo Federated Learning (Technical Report) Shuyuan Zheng Yang Cao Masatoshi Yoshikawa FedML 105 25 0 11 Sep 2022
Joint Linear and Nonlinear Computation across Functions for Efficient Privacy-Preserving Neural Network Inference Qiao Zhang Tao Xiang Chunsheng Xin Biwen Chen Hongyi Wu 106 1 0 04 Sep 2022
Selective manipulation of disentangled representations for privacy-aware facial image processing Sander De Coninck Wei-Cheng Wang Sam Leroux Pieter Simoens PICV 33 2 0 26 Aug 2022
Efficient ML Models for Practical Secure Inference Vinod Ganesan Anwesh Bhattacharya Pratyush Kumar Divya Gupta Rahul Sharma Nishanth Chandran MedIm 90 5 0 26 Aug 2022
HEFT: Homomorphically Encrypted Fusion of Biometric Templates Luke Sperling Nalini Ratha Arun Ross Vishnu Boddeti 65 10 0 15 Aug 2022
HWGN2: Side-channel Protected Neural Networks through Secure and Private Function Evaluation Mohammad J. Hashemi Steffi Roy Domenic Forte F. Ganji AAML 64 2 0 07 Aug 2022
Privacy Safe Representation Learning via Frequency Filtering Encoder J. Jeong Minyong Cho Philipp Benz Jinwoo Hwang J. Kim Seungkwang Lee Tae-Hoon Kim 61 3 0 04 Aug 2022
Verifiable Encodings for Secure Homomorphic Analytics Sylvain Chatel Christian Knabenhans Apostolos Pyrgelis Carmela Troncoso Jean-Pierre Hubaux 73 19 0 28 Jul 2022
Privacy-Preserving Federated Recurrent Neural Networks Sinem Sav Abdulrahman Diaa Apostolos Pyrgelis Jean-Philippe Bossuat Jean-Pierre Hubaux FedML 83 8 0 28 Jul 2022
Privacy-Preserving Face Recognition with Learnable Privacy Budgets in Frequency Domain Jia-Bao Ji Huan Wang Yanhua Huang Jiaxiang Wu Xingkun Xu Shouhong Ding Shengchuan Zhang Liujuan Cao Rongrong Ji CVBM PICV 93 38 0 15 Jul 2022
Characterizing and Optimizing End-to-End Systems for Private Inference Karthik Garimella Zahra Ghodsi N. Jha S. Garg Brandon Reagen 73 25 0 14 Jul 2022
SIMC 2.0: Improved Secure ML Inference Against Malicious Clients Guowen Xu Xingshuo Han Tianwei Zhang Shengmin Xu Jianting Ning Xinyi Huang Hongwei Li R. Deng 46 11 0 11 Jul 2022
Privacy-preserving Decentralized Deep Learning with Multiparty Homomorphic Encryption Guowen Xu Guanlin Li Shangwei Guo Tianwei Zhang Hongwei Li FedML 52 3 0 11 Jul 2022
DarKnight: An Accelerated Framework for Privacy and Integrity Preserving Deep Learning Using Trusted Hardware H. Hashemi Yongqin Wang M. Annavaram FedML 64 60 0 30 Jun 2022
Deploying Convolutional Networks on Untrusted Platforms Using 2D Holographic Reduced Representations Mohammad Mahmudul Alam Edward Raff Tim Oates James Holt 50 5 0 13 Jun 2022
Towards Practical Privacy-Preserving Solution for Outsourced Neural Network Inference Pinglan Liu Wensheng Zhang FedML 21 3 0 06 Jun 2022
CryptoTL: Private, Efficient and Secure Transfer Learning Roman Walch Samuel Sousa Lukas Helminger Stefanie N. Lindstaedt Christian Rechberger A. Trugler 62 8 0 24 May 2022
Trustworthy Graph Neural Networks: Aspects, Methods and Trends He Zhang Bang Wu Lizhen Qu Shirui Pan Hanghang Tong Jian Pei 139 109 0 16 May 2022
Impala: Low-Latency, Communication-Efficient Private Deep Learning Inference Woojin Choi Brandon Reagen Gu-Yeon Wei David Brooks FedML 85 7 0 13 May 2022
Fusion: Efficient and Secure Inference Resilient to Malicious Servers Caiqin Dong Jian Weng Jia-Nan Liu Yue Zhang Yao Tong Anjia Yang Yudan Cheng Shun Hu 65 16 0 06 May 2022
Autonomy and Intelligence in the Computing Continuum: Challenges, Enablers, and Future Directions for Orchestration Henna Kokkonen Lauri Lovén Naser Hossein Motlagh Abhishek Kumar Juha Partala ... M. Bennis Sasu Tarkoma Schahram Dustdar Susanna Pirttikangas J. Riekki 89 27 0 03 May 2022
ARK: Fully Homomorphic Encryption Accelerator with Runtime Data Generation and Inter-Operation Key Reuse Jongmin Kim Gwangho Lee Sangpyo Kim G. Sohn John Kim Minsoo Rhu Jung Ho Ahn 64 102 0 02 May 2022
Special Session: Towards an Agile Design Methodology for Efficient, Reliable, and Secure ML Systems Shail Dave Alberto Marchisio Muhammad Abdullah Hanif Amira Guesmi Aviral Shrivastava Ihsen Alouani Mohamed Bennai 72 14 0 18 Apr 2022
Scalable privacy-preserving cancer type prediction with homomorphic encryption Esha Sarkar E. Chielle Gamze Gürsoy Leo Chen M. Gerstein Michail Maniatakos 19 6 0 12 Apr 2022
Securing the Classification of COVID-19 in Chest X-ray Images: A Privacy-Preserving Deep Learning Approach W. Boulila Adel Ammar Bilel Benjdira Anis Koubaa 42 13 0 15 Mar 2022
Tabula: Efficiently Computing Nonlinear Activation Functions for Secure Neural Network Inference Maximilian Lam Michael Mitzenmacher Vijay Janapa Reddi Gu-Yeon Wei David Brooks 68 3 0 05 Mar 2022
Split HE: Fast Secure Inference Combining Split Learning and Homomorphic Encryption George-Liviu Pereteanu A. Alansary Jonathan Passerat-Palmbach FedML 62 21 0 27 Feb 2022
SecGNN: Privacy-Preserving Graph Neural Network Training and Inference as a Cloud Service Songlei Wang Yifeng Zheng Xiaohua Jia GNN 90 25 0 16 Feb 2022
ABG: A Multi-Party Mixed Protocol Framework for Privacy-Preserving Cooperative Learning Hao Wang Zhi Li Chunpeng Ge W. Susilo FedML 32 0 0 07 Feb 2022
Syfer: Neural Obfuscation for Private Data Release Adam Yala Victor Quach H. Esfahanizadeh Rafael G. L. DÓliveira K. Duffy Muriel Médard Tommi Jaakkola Regina Barzilay PICV 120 7 0 28 Jan 2022
pvCNN: Privacy-Preserving and Verifiable Convolutional Neural Network Testing Jiasi Weng Jian Weng Gui Tang Anjia Yang Ming Li Jia-Nan Liu 69 34 0 23 Jan 2022
More is Merrier: Relax the Non-Collusion Assumption in Multi-Server PIR Tiantian Gong Ryan Henry Alexandros Psomas Aniket Kate 26 3 0 19 Jan 2022
AESPA: Accuracy Preserving Low-degree Polynomial Activation for Fast Private Inference J. Park M. Kim Wonkyung Jung Jung Ho Ahn LLMSV 74 28 0 18 Jan 2022
BTS: An Accelerator for Bootstrappable Fully Homomorphic Encryption Sangpyo Kim Jongmin Kim M. Kim Wonkyung Jung Minsoo Rhu John Kim Jung Ho Ahn 62 150 0 31 Dec 2021
SoK: A Study of the Security on Voice Processing Systems Robert Chang Logan Kuo Arthur Liu Nader Sehatbakhsh 26 0 0 24 Dec 2021
CryptoNite: Revealing the Pitfalls of End-to-End Private Inference at Scale Karthik Garimella N. Jha Zahra Ghodsi S. Garg Brandon Reagen 70 3 0 04 Nov 2021