Confidential Inference via Ternary Model Partitioning

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Confidential Inference via Ternary Model Partitioning

3 July 2018

Dimitrios E. Pendarakis

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Papers citing "Confidential Inference via Ternary Model Partitioning"

9 / 9 papers shown

Title
State-of-the-Art Approaches to Enhancing Privacy Preservation of Machine Learning Datasets: A Survey Chaoyu Zhang Shaoyu Li AILaw 131 4 0 25 Feb 2024
Pelta: Shielding Transformers to Mitigate Evasion Attacks in Federated Learning Simon Queyrut Yérom-David Bromberg V. Schiavoni FedML AAML 81 1 0 08 Aug 2023
Seculator: A Fast and Secure Neural Processing Unit Nivedita Shrivastava S. Sarangi AAML 50 3 0 19 Apr 2022
ASFGNN: Automated Separated-Federated Graph Neural Network Longfei Zheng Jun Zhou Chaochao Chen Bingzhe Wu L. xilinx Wang Benyu Zhang FedML GNN 84 73 0 06 Nov 2020
Vertically Federated Graph Neural Network for Privacy-Preserving Node Classification Chaochao Chen Jun Zhou Longfei Zheng Huiwen Wu Lingjuan Lyu Hongzhi Zhang Bingzhe Wu Ziqi Liu L. xilinx Wang Xiaolin Zheng FedML 89 100 0 25 May 2020
Serdab: An IoT Framework for Partitioning Neural Networks Computation across Multiple Enclaves Tarek Elgamal Klara Nahrstedt FedML 34 33 0 12 May 2020
Privacy-Preserving Inference in Machine Learning Services Using Trusted Execution Environments Krishnagiri Narra Zhifeng Lin Yongqin Wang Keshav Balasubramaniam M. Annavaram BDL FedML 69 46 0 07 Dec 2019
A First Look at Deep Learning Apps on Smartphones Mengwei Xu Jiawei Liu Yuanqiang Liu F. Lin Yunxin Liu Xuanzhe Liu HAI 91 183 0 08 Nov 2018
MLCapsule: Guarded Offline Deployment of Machine Learning as a Service L. Hanzlik Yang Zhang Kathrin Grosse A. Salem Maximilian Augustin Michael Backes Mario Fritz OffRL 93 106 0 01 Aug 2018

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