XONN: XNOR-based Oblivious Deep Neural Network Inference

19 February 2019

Papers citing "XONN: XNOR-based Oblivious Deep Neural Network Inference"

50 / 103 papers shown

Title
SONNI: Secure Oblivious Neural Network Inference Luke Sperling S. Kulkarni 24 0 0 26 Apr 2025
Flash: A Hybrid Private Inference Protocol for Deep CNNs with High Accuracy and Low Latency on CPU H. Roh Jinsu Yeo Yeongil Ko Gu-Yeon Wei David Brooks Woo-Seok Choi 82 2 0 20 Jan 2025
CBNN: 3-Party Secure Framework for Customized Binary Neural Networks Inference Benchang Dong Zhili Chen Xin Chen Shiwen Wei Jie Fu Huifa Li 73 0 0 21 Dec 2024
PrivQuant: Communication-Efficient Private Inference with Quantized Network/Protocol Co-Optimization Tianshi Xu Shuzhang Zhong Wenxuan Zeng Runsheng Wang Meng Li MQ 31 0 0 12 Oct 2024
SSNet: A Lightweight Multi-Party Computation Scheme for Practical Privacy-Preserving Machine Learning Service in the Cloud Shijin Duan Chenghong Wang Hongwu Peng Yukui Luo Wujie Wen Caiwen Ding Xiaolin Xu 34 5 0 04 Jun 2024
Amalgam: A Framework for Obfuscated Neural Network Training on the Cloud Sifat Ut Taki Spyridon Mastorakis FedML 32 1 0 02 Jun 2024
$$\textit{Comet:}$ A $\underline{Com}$munication-$\underline{e}$fficient and Performant Approxima$\underline{t}$ion for Private Transformer Inference$ $\textit{Comet:}$ A $\underline{Com}$ munication- $\underline{e}$ fficient and Performant Approxima $\underline{t}$ ion for Private Transformer Inference Xiangrui Xu Qiao Zhang R. Ning Chunsheng Xin Hongyi Wu 38 5 0 24 May 2024
FOBNN: Fast Oblivious Binarized Neural Network Inference Xin Chen Zhili Chen Benchang Dong Shiwen Wei Lin Chen Daojing He FedML 19 2 0 06 May 2024
EQO: Exploring Ultra-Efficient Private Inference with Winograd-Based Protocol and Quantization Co-Optimization Wenxuan Zeng Tianshi Xu Meng Li Runsheng Wang MQ 35 0 0 15 Apr 2024
Regularized PolyKervNets: Optimizing Expressiveness and Efficiency for Private Inference in Deep Neural Networks Toluwani Aremu 25 0 0 23 Dec 2023
LinGCN: Structural Linearized Graph Convolutional Network for Homomorphically Encrypted Inference Hongwu Peng Ran Ran Yukui Luo Jiahui Zhao Shaoyi Huang ... Tong Geng Chenghong Wang Xiaolin Xu Wujie Wen Caiwen Ding 29 36 0 25 Sep 2023
Compact: Approximating Complex Activation Functions for Secure Computation Mazharul Islam Sunpreet S. Arora Rahul Chatterjee Peter Rindal Maliheh Shirvanian 21 4 0 09 Sep 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 44 38 0 20 Aug 2023
Integrating Homomorphic Encryption and Trusted Execution Technology for Autonomous and Confidential Model Refining in Cloud Pinglan Liu Wensheng Zhang 24 0 0 02 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
GTree: GPU-Friendly Privacy-preserving Decision Tree Training and Inference Qifan Wang Shujie Cui Lei Zhou Ye Dong Jianli Bai Yun Sing Koh Giovanni Russello 25 0 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 49 6 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 P. Beerel 12 8 0 26 Apr 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 84 47 0 21 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
On Achieving Privacy-Preserving State-of-the-Art Edge Intelligence Daphnee Chabal Dolly Sapra Z. Mann 15 3 0 10 Feb 2023
CHEM: Efficient Secure Aggregation with Cached Homomorphic Encryption in Federated Machine Learning Systems Dongfang Zhao FedML 7 1 0 22 Dec 2022
ezDPS: An Efficient and Zero-Knowledge Machine Learning Inference Pipeline Haodi Wang Thang Hoang 14 11 0 11 Dec 2022
Partially Oblivious Neural Network Inference P. Rizomiliotis Christos Diou Aikaterini Triakosia Ilias Kyrannas Konstantinos Tserpes FedML 18 3 0 27 Oct 2022
Efficient Privacy-Preserving Machine Learning with Lightweight Trusted Hardware Pengzhi Huang Thang Hoang Yueying Li Elaine Shi G. E. Suh 17 2 0 18 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 30 6 0 13 Oct 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 23 3 0 20 Sep 2022
SEEK: model extraction attack against hybrid secure inference protocols Si-Quan Chen Junfeng Fan MIACV 16 2 0 14 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 21 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 18 2 0 26 Aug 2022
MUDGUARD: Taming Malicious Majorities in Federated Learning using Privacy-Preserving Byzantine-Robust Clustering Rui Wang Xingkai Wang H. Chen Jérémie Decouchant S. Picek Z. Liu K. Liang 29 1 0 22 Aug 2022
HWGN2: Side-channel Protected Neural Networks through Secure and Private Function Evaluation Mohammad J. Hashemi Steffi Roy Domenic Forte F. Ganji AAML 17 2 0 07 Aug 2022
Privacy-Preserving Federated Recurrent Neural Networks Sinem Sav Abdulrahman Diaa Apostolos Pyrgelis Jean-Philippe Bossuat Jean-Pierre Hubaux 6 7 0 28 Jul 2022
Thoughts on child safety on commodity platforms I. Levy Crispin Robinson 20 10 0 19 Jul 2022
Hercules: Boosting the Performance of Privacy-preserving Federated Learning Guowen Xu Xingshuo Han Shengmin Xu Tianwei Zhang Hongwei Li Xinyi Huang R. Deng FedML 22 16 0 11 Jul 2022
Privacy-preserving Decentralized Deep Learning with Multiparty Homomorphic Encryption Guowen Xu Guanlin Li Shangwei Guo Tianwei Zhang Hongwei Li FedML 28 3 0 11 Jul 2022
Deploying Convolutional Networks on Untrusted Platforms Using 2D Holographic Reduced Representations Mohammad Mahmudul Alam Edward Raff Tim Oates James Holt 17 5 0 13 Jun 2022
Towards Practical Privacy-Preserving Solution for Outsourced Neural Network Inference Pinglan Liu Wensheng Zhang FedML 14 3 0 06 Jun 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 26 16 0 06 May 2022
SecGNN: Privacy-Preserving Graph Neural Network Training and Inference as a Cloud Service Songlei Wang Yifeng Zheng Xiaohua Jia GNN 8 22 0 16 Feb 2022
AESPA: Accuracy Preserving Low-degree Polynomial Activation for Fast Private Inference J. Park M. Kim Wonkyung Jung Jung Ho Ahn LLMSV 6 26 0 18 Jan 2022
CryptoNite: Revealing the Pitfalls of End-to-End Private Inference at Scale Karthik Garimella N. Jha Zahra Ghodsi S. Garg Brandon Reagen 31 3 0 04 Nov 2021
Optimizing Secure Decision Tree Inference Outsourcing Yifeng Zheng Cong Wang Ruochen Wang Huayi Duan Surya Nepal 11 6 0 31 Oct 2021
SEDML: Securely and Efficiently Harnessing Distributed Knowledge in Machine Learning Yansong Gao Qun Li Yifeng Zheng Guohong Wang Jiannan Wei Mang Su 24 3 0 26 Oct 2021
Application of Homomorphic Encryption in Medical Imaging Francis Dutil Alexandre See Lisa Di-Jorio F. Chandelier MedIm 19 2 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 18 1 0 24 Sep 2021
FDFB: Full Domain Functional Bootstrapping Towards Practical Fully Homomorphic Encryption Kamil Kluczniak L. Schild FedML 11 47 0 06 Sep 2021
CrypTen: Secure Multi-Party Computation Meets Machine Learning Brian Knott Shobha Venkataraman Awni Y. Hannun Shubho Sengupta Mark Ibrahim L. V. D. van der Maaten 18 346 0 02 Sep 2021
Guarding Machine Learning Hardware Against Physical Side-Channel Attacks Anuj Dubey Rosario Cammarota Vikram B. Suresh Aydin Aysu AAML 30 31 0 01 Sep 2021
Privacy-Preserving Machine Learning: Methods, Challenges and Directions Runhua Xu Nathalie Baracaldo J. Joshi 24 100 0 10 Aug 2021