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
CoPriv: Network/Protocol Co-Optimization for Communication-Efficient Private Inference Wenxuan Zeng Meng Li Haichuan Yang Wen-jie Lu Runsheng Wang Ru Huang 77 7 0 03 Nov 2023
Recoverable Privacy-Preserving Image Classification through Noise-like Adversarial Examples Jun Liu Jiantao Zhou Jinyu Tian Weiwei Sun PICV 50 6 0 19 Oct 2023
AutoFHE: Automated Adaption of CNNs for Efficient Evaluation over FHE Wei Ao Vishnu Boddeti AAML 82 20 0 12 Oct 2023
No Privacy Left Outside: On the (In-)Security of TEE-Shielded DNN Partition for On-Device ML Ziqi Zhang Chen Gong Yifeng Cai Yuanyuan Yuan Bingyan Liu Ding Li Yao Guo Xiangqun Chen FedML 81 21 0 11 Oct 2023
Artemis: HE-Aware Training for Efficient Privacy-Preserving Machine Learning Yeonsoo Jeon M. Erez Michael Orshansky VLM 16 0 0 02 Oct 2023
Online Efficient Secure Logistic Regression based on Function Secret Sharing Jing Liu Jamie Cui Cen Chen 36 5 0 18 Sep 2023
Learning in the Dark: Privacy-Preserving Machine Learning using Function Approximation Tanveer Khan A. Michalas FedML 37 7 0 15 Sep 2023
SABLE: Secure And Byzantine robust LEarning Antoine Choffrut R. Guerraoui Rafael Pinot Renaud Sirdey John Stephan Martin Zuber AAML 98 2 0 11 Sep 2023
Bicoptor 2.0: Addressing Challenges in Probabilistic Truncation for Enhanced Privacy-Preserving Machine Learning Lijing Zhou Qingrui Song Su Zhang Ziyu Wang Xianggui Wang Yong-Lu Li 64 4 0 10 Sep 2023
Approximating ReLU on a Reduced Ring for Efficient MPC-based Private Inference Kiwan Maeng G. E. Suh 47 2 0 09 Sep 2023
Compact: Approximating Complex Activation Functions for Secure Computation Mazharul Islam Sunpreet S. Arora Rahul Chatterjee Peter Rindal Maliheh Shirvanian 69 4 0 09 Sep 2023
Falcon: Accelerating Homomorphically Encrypted Convolutions for Efficient Private Mobile Network Inference Tianshi Xu Meng Li Runsheng Wang R. Huang FedML 63 6 0 25 Aug 2023
AutoReP: Automatic ReLU Replacement for Fast Private Network Inference Hongwu Peng Shaoyi Huang Tong Zhou Yukui Luo Chenghong Wang ... Tony Geng Kaleel Mahmood Wujie Wen Xiaolin Xu Caiwen Ding OffRL 149 38 0 20 Aug 2023
East: Efficient and Accurate Secure Transformer Framework for Inference Yuanchao Ding Hua Guo Yewei Guan Weixin Liu Jiarong Huo Zhenyu Guan Xiyong Zhang 72 19 0 19 Aug 2023
Privacy-Preserving Detection Method for Transmission Line Based on Edge Collaboration Quan Shi Kaiyuan Deng 33 1 0 17 Aug 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 54 1 0 17 Aug 2023
CiFHER: A Chiplet-Based FHE Accelerator with a Resizable Structure Sangpyo Kim Jongmin Kim Jaeyoung Choi Jung Ho Ahn 54 3 0 09 Aug 2023
Privacy Preserving In-memory Computing Engine Haoran Geng Jianqiao Mo D. Reis Jonathan Takeshita Taeho Jung Brandon Reagen Michael Niemier Xiyang Hu 67 0 0 04 Aug 2023
Integrating Homomorphic Encryption and Trusted Execution Technology for Autonomous and Confidential Model Refining in Cloud Pinglan Liu Wensheng Zhang 50 0 0 02 Aug 2023
Accelerating Polynomial Modular Multiplication with Crossbar-Based Compute-in-Memory Mengyuan Li Haoran Geng Michael Niemier Xiyang Hu 52 4 0 27 Jul 2023
PATROL: Privacy-Oriented Pruning for Collaborative Inference Against Model Inversion Attacks Shiwei Ding Lan Zhang Miao Pan Xiaoyong Yuan AAML 77 6 0 20 Jul 2023
Towards Fast and Scalable Private Inference Jianqiao Mo Karthik Garimella Negar Neda Austin Ebel Brandon Reagen 56 3 0 09 Jul 2023
LLMs Can Understand Encrypted Prompt: Towards Privacy-Computing Friendly Transformers Xuanqing Liu Zhuotao Liu 90 23 0 28 May 2023
Improving Heterogeneous Model Reuse by Density Estimation Anke Tang Yong Luo Han Hu Fengxiang He Kehua Su Bo Du Yixin Chen Dacheng Tao 44 5 0 23 May 2023
Smart Policy Control for Securing Federated Learning Management System Aditya Pribadi Kalapaaking Ibrahim Khalil Mohammed Atiquzzaman 62 13 0 16 May 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 26 1 0 01 May 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 108 6 0 26 Apr 2023
Making Models Shallow Again: Jointly Learning to Reduce Non-Linearity and Depth for Latency-Efficient Private Inference Souvik Kundu Yuke Zhang Dake Chen Peter A. Beerel 3DV 53 15 0 26 Apr 2023
C2PI: An Efficient Crypto-Clear Two-Party Neural Network Private Inference Yuke Zhang Dake Chen Souvik Kundu Haomei Liu Ruiheng Peng Peter A. Beerel 42 8 0 26 Apr 2023
Blockchain-based Federated Learning with Secure Aggregation in Trusted Execution Environment for Internet-of-Things Aditya Pribadi Kalapaaking Ibrahim Khalil Mohammad Saidur Rahman Mohammed Atiquzzaman X. Yi Mahathir Almashor FedML 64 70 0 25 Apr 2023
QuMoS: A Framework for Preserving Security of Quantum Machine Learning Model Zhepeng Wang Jinyang Li Zhirui Hu Blake Gage Elizabeth Iwasawa Weiwen Jiang 81 11 0 23 Apr 2023
DeepReShape: Redesigning Neural Networks for Efficient Private Inference N. Jha Brandon Reagen 89 10 0 20 Apr 2023
Securing Neural Networks with Knapsack Optimization Yakir Gorski Amir Jevnisek S. Avidan AAML 36 0 0 20 Apr 2023
Neural Network Quantisation for Faster Homomorphic Encryption Wouter Legiest Jan-Pieter DÁnvers Furkan Turan Michiel Van Beirendonck Ingrid Verbauwhede MQ 34 6 0 19 Apr 2023
GrOVe: Ownership Verification of Graph Neural Networks using Embeddings Asim Waheed Vasisht Duddu Nadarajah Asokan 82 10 0 17 Apr 2023
Scalable and Privacy-Preserving Federated Principal Component Analysis D. Froelicher Hyunghoon Cho Manaswitha Edupalli João Sá Sousa Jean-Philippe Bossuat Apostolos Pyrgelis J. Troncoso-Pastoriza Bonnie Berger Jean-Pierre Hubaux FedML 62 16 0 31 Mar 2023
Primer: Fast Private Transformer Inference on Encrypted Data Mengxin Zheng Qian Lou Lei Jiang 92 33 0 23 Mar 2023
vFHE: Verifiable Fully Homomorphic Encryption with Blind Hash Qian Lou M. Santriaji Ardhi Wiratama Baskara Yudha Jiaqi Xue Yan Solihin FedML 59 9 0 15 Mar 2023
A Survey of Trustworthy Federated Learning with Perspectives on Security, Robustness, and Privacy Yifei Zhang Dun Zeng Jinglong Luo Zenglin Xu Irwin King FedML 156 49 0 21 Feb 2023
HE-MAN -- Homomorphically Encrypted MAchine learning with oNnx models Martin Nocker David Drexel Michael Rader Alessio Montuoro Pascal Schöttle 95 6 0 16 Feb 2023
HyPHEN: A Hybrid Packing Method and Optimizations for Homomorphic Encryption-Based Neural Networks Donghwan Kim J. Park Jongmin Kim Sangpyo Kim Jung Ho Ahn 45 19 0 05 Feb 2023
TT-TFHE: a Torus Fully Homomorphic Encryption-Friendly Neural Network Architecture Adrien Benamira Tristan Guérand Thomas Peyrin Sayandeep Saha 84 6 0 03 Feb 2023
GPU-based Private Information Retrieval for On-Device Machine Learning Inference Maximilian Lam Jeff Johnson Wenjie Xiong Kiwan Maeng Udit Gupta ... Hsien-Hsin S. Lee Vijay Janapa Reddi Gu-Yeon Wei David Brooks Edward Suh 135 10 0 26 Jan 2023
Learning to Linearize Deep Neural Networks for Secure and Efficient Private Inference Souvik Kundu Shun Lu Yuke Zhang Jacqueline Liu Peter A. Beerel 40 29 0 23 Jan 2023
CHEM: Efficient Secure Aggregation with Cached Homomorphic Encryption in Federated Machine Learning Systems Dongfang Zhao FedML 42 1 0 22 Dec 2022
Privacy-Preserving Collaborative Learning through Feature Extraction A. Sarmadi Hao Fu Prashanth Krishnamurthy S. Garg Farshad Khorrami FedML 51 7 0 13 Dec 2022
ezDPS: An Efficient and Zero-Knowledge Machine Learning Inference Pipeline Haodi Wang Thang Hoang 64 11 0 11 Dec 2022
Efficiency Boosting of Secure Cross-platform Recommender Systems over Sparse Data Hao Ren Guowen Xu Tianwei Zhang Jianting Ning Xinyi Huang Hongwei Li Rongxing Lu 40 1 0 03 Dec 2022
Purifier: Defending Data Inference Attacks via Transforming Confidence Scores Ziqi Yang Li-Juan Wang D. Yang Jie Wan Ziming Zhao E. Chang Fan Zhang Kui Ren AAML 68 15 0 01 Dec 2022
HAAC: A Hardware-Software Co-Design to Accelerate Garbled Circuits Jianqiao Mo Jayanth Gopinath Brandon Reagen 53 23 0 23 Nov 2022