SHE: A Fast and Accurate Deep Neural Network for Encrypted Data

1 June 2019

Papers citing "SHE: A Fast and Accurate Deep Neural Network for Encrypted Data"

18 / 18 papers shown

Title
TFHE-Coder: Evaluating LLM-agentic Fully Homomorphic Encryption Code Generation Mayank Kumar Jinbao Xue Mengxin Zheng Qian Lou 68 2 0 15 Mar 2025
TFHE-SBC: Software Designs for Fully Homomorphic Encryption over the Torus on Single Board Computers Marin Matsumoto Ai Nozaki Hideki Takase M. Oguchi 48 0 0 04 Mar 2025
CipherPrune: Efficient and Scalable Private Transformer Inference Yancheng Zhang Jinbao Xue Mengxin Zheng Mimi Xie Mingzhe Zhang Lei Jiang Qian Lou 64 2 0 24 Feb 2025
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 45 1 0 02 Feb 2025
Accumulator-Aware Post-Training Quantization Ian Colbert Fabian Grob Giuseppe Franco Jinjie Zhang Rayan Saab MQ 35 4 0 25 Sep 2024
DCT-CryptoNets: Scaling Private Inference in the Frequency Domain Arjun Roy Kaushik Roy 175 1 0 27 Aug 2024
Homomorphic WiSARDs: Efficient Weightless Neural Network training over encrypted data Leonardo Neumann Antonio Guimarães Diego F. Aranha Edson Borin AAML 23 0 0 29 Mar 2024
Primer: Fast Private Transformer Inference on Encrypted Data Mengxin Zheng Qian Lou Lei Jiang 25 30 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 20 9 0 15 Mar 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 27 17 0 05 Feb 2023
Private and Reliable Neural Network Inference Nikola Jovanović Marc Fischer Samuel Steffen Martin Vechev 22 14 0 27 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 31 20 0 24 Sep 2022
RL-DistPrivacy: Privacy-Aware Distributed Deep Inference for low latency IoT systems Emna Baccour A. Erbad Amr M. Mohamed Mounir Hamdi Mohsen Guizani 30 12 0 27 Aug 2022
On the Evaluation of User Privacy in Deep Neural Networks using Timing Side Channel Shubhi Shukla Manaar Alam Sarani Bhattacharya Debdeep Mukhopadhyay Pabitra Mitra AAML 27 2 0 01 Aug 2022
FedVLN: Privacy-preserving Federated Vision-and-Language Navigation Kaiwen Zhou Qing Guo FedML 26 8 0 28 Mar 2022
Privacy-Preserving Machine Learning with Fully Homomorphic Encryption for Deep Neural Network Joon-Woo Lee Hyungchul Kang Yongwoo Lee W. Choi Jieun Eom ... Eunsang Lee Junghyun Lee Donghoon Yoo Young-Sik Kim Jong-Seon No 17 245 0 14 Jun 2021
Precise Approximation of Convolutional Neural Networks for Homomorphically Encrypted Data Junghyun Lee Eunsang Lee Joon-Woo Lee Yongjune Kim Young-Sik Kim Jong-Seon No 18 56 0 23 May 2021
AutoPrivacy: Automated Layer-wise Parameter Selection for Secure Neural Network Inference Qian Lou B. Song Lei Jiang 15 35 0 07 Jun 2020