SHE-LoRA: Selective Homomorphic Encryption for Federated Tuning with Heterogeneous LoRA
Authors: Jianmin Liu, Li Yan, Borui Li, Lei Yu, Chao Shen | Published: 2025-05-27
Encryption Method
Improved Privacy-Preserving PCA Using Optimized Homomorphic Matrix Multiplication
Authors: Xirong Ma | Published: 2023-05-27 | Updated: 2023-08-17
Effect of Homomorphic Encryption on the Performance of Training Federated Learning Generative Adversarial Networks
Authors: Ignjat Pejic, Rui Wang, Kaitai Liang | Published: 2022-07-01
Enabling Homomorphically Encrypted Inference for Large DNN Models
Authors: Guillermo Lloret-Talavera, Marc Jorda, Harald Servat, Fabian Boemer, Chetan Chauhan, Shigeki Tomishima, Nilesh N. Shah, Antonio J. Peña | Published: 2021-03-30 | Updated: 2021-04-29
InstaHide: Instance-hiding Schemes for Private Distributed Learning
Authors: Yangsibo Huang, Zhao Song, Kai Li, Sanjeev Arora | Published: 2020-10-06 | Updated: 2021-02-24
Efficient Private Machine Learning by Differentiable Random Transformations
Authors: Fei Zheng | Published: 2020-08-18
AutoPrivacy: Automated Layer-wise Parameter Selection for Secure Neural Network Inference
Authors: Qian Lou, Song Bian, Lei Jiang | Published: 2020-06-07 | Updated: 2020-10-15
Attacks on Image Encryption Schemes for Privacy-Preserving Deep Neural Networks
Authors: Alex Habeen Chang, Benjamin M. Case | Published: 2020-04-28 | Updated: 2020-04-29
Collaborative Homomorphic Computation on Data Encrypted under Multiple Keys
Authors: Asma Aloufi, Peizhao Hu | Published: 2019-11-11
SEALion: a Framework for Neural Network Inference on Encrypted Data
Authors: Tim van Elsloo, Giorgio Patrini, Hamish Ivey-Law | Published: 2019-04-29