HEMET: A Homomorphic-Encryption-Friendly Privacy-Preserving Mobile Neural Network Architecture

31 May 2021

Papers citing "HEMET: A Homomorphic-Encryption-Friendly Privacy-Preserving Mobile Neural Network Architecture"

9 / 9 papers shown

Title
TeleSparse: Practical Privacy-Preserving Verification of Deep Neural Networks Mohammad Maheri Hamed Haddadi Alex Davidson 71 0 0 27 Apr 2025
TFHE-Coder: Evaluating LLM-agentic Fully Homomorphic Encryption Code Generation Mayank Kumar J. Xue Mengxin Zheng Qian Lou 62 2 0 15 Mar 2025
ObfuscaTune: Obfuscated Offsite Fine-tuning and Inference of Proprietary LLMs on Private Datasets Ahmed Frikha Nassim Walha Ricardo Mendes K. K. Nakka Xue Jiang Xuebing Zhou 68 2 0 03 Jul 2024
Batch-oriented Element-wise Approximate Activation for Privacy-Preserving Neural Networks Peng Zhang Ao Duan Xianglu Zou Yuhong Liu 16 0 0 16 Mar 2024
AutoFHE: Automated Adaption of CNNs for Efficient Evaluation over FHE Wei Ao Vishnu Naresh Boddeti AAML 25 18 0 12 Oct 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
HyPHEN: A Hybrid Packing Method and Optimizations for Homomorphic Encryption-Based Neural Networks Donghwan Kim J. Park Jongmin Kim Sangpyo Kim Jung Ho Ahn 21 17 0 05 Feb 2023
Private and Reliable Neural Network Inference Nikola Jovanović Marc Fischer Samuel Steffen Martin Vechev 14 14 0 27 Oct 2022
CryptoNite: Revealing the Pitfalls of End-to-End Private Inference at Scale Karthik Garimella N. Jha Zahra Ghodsi S. Garg Brandon Reagen 33 3 0 04 Nov 2021