Low Latency Privacy Preserving Inference

Low Latency Privacy Preserving Inference

27 December 2018

Ran Gilad-Bachrach

Papers citing "Low Latency Privacy Preserving Inference"

17 / 17 papers shown

Title
SecPE: Secure Prompt Ensembling for Private and Robust Large Language Models Jiawen Zhang Kejia Chen Zunlei Feng Jian Lou Mingli Song Qingbin Liu Xiaoyu Yang AAML SILM FedML 107 1 0 02 Feb 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 127 2 0 20 Jan 2025
Leveraging ASIC AI Chips for Homomorphic Encryption Jianming Tong Tianhao Huang Leo de Castro Anirudh Itagi Jingtian Dang ... Asra Ali Jevin Jiang Arvind G. Edward Suh T. Krishna 64 0 0 13 Jan 2025
DCT-CryptoNets: Scaling Private Inference in the Frequency Domain Arjun Roy Kaushik Roy 354 1 0 27 Aug 2024
Hyena: Optimizing Homomorphically Encrypted Convolution for Private CNN Inference H. Roh Woo-Seok Choi 72 1 0 21 Nov 2023
Faster CryptoNets: Leveraging Sparsity for Real-World Encrypted Inference Edward Chou Josh Beal Daniel Levy Serena Yeung Albert Haque Li Fei-Fei 47 198 0 25 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 55 64 0 02 Nov 2018
nGraph-HE: A Graph Compiler for Deep Learning on Homomorphically Encrypted Data Fabian Boemer Yixing Lao Rosario Cammarota Casimir Wierzynski FedML 97 165 0 23 Oct 2018
TAPAS: Tricks to Accelerate (encrypted) Prediction As a Service Amartya Sanyal Matt J. Kusner Adria Gascon Varun Kanade FedML 63 127 0 09 Jun 2018
Slalom: Fast, Verifiable and Private Execution of Neural Networks in Trusted Hardware Florian Tramèr Dan Boneh FedML 171 397 0 08 Jun 2018
Gazelle: A Low Latency Framework for Secure Neural Network Inference Chiraag Juvekar Vinod Vaikuntanathan A. Chandrakasan 60 892 0 16 Jan 2018
Chameleon: A Hybrid Secure Computation Framework for Machine Learning Applications M. Riazi Christian Weinert Oleksandr Tkachenko Ebrahim M. Songhori T. Schneider F. Koushanfar FedML 46 494 0 10 Jan 2018
Convolutional Neural Networks for Medical Image Analysis: Full Training or Fine Tuning? Nima Tajbakhsh Jae Y. Shin S. Gurudu R. T. Hurst Christopher B. Kendall Michael B. Gotway Jianming Liang 222 2,526 0 02 Jun 2017
Deep Residual Learning for Image Recognition Kaiming He Xinming Zhang Shaoqing Ren Jian Sun MedIm 2.2K 193,878 0 10 Dec 2015
Adam: A Method for Stochastic Optimization Diederik P. Kingma Jimmy Ba ODL 1.8K 150,039 0 22 Dec 2014
How transferable are features in deep neural networks? J. Yosinski Jeff Clune Yoshua Bengio Hod Lipson OOD 231 8,336 0 06 Nov 2014
Very Deep Convolutional Networks for Large-Scale Image Recognition Karen Simonyan Andrew Zisserman FAtt MDE 1.6K 100,348 0 04 Sep 2014