Private LoRA Fine-tuning of Open-Source LLMs with Homomorphic Encryption
Authors: Jordan Frery, Roman Bredehoft, Jakub Klemsa, Arthur Meyre, Andrei Stoian | Published: 2025-05-12
暗号技術
A Multiparty Homomorphic Encryption Approach to Confidential Federated Kaplan Meier Survival Analysis
Authors: Narasimha Raghavan Veeraragavan, Svetlana Boudko, Jan Franz Nygård | Published: 2024-12-29
SoK: Verifiable Cross-Silo FL
Authors: Aleksei Korneev, Jan Ramon | Published: 2024-10-11
Taylor Unswift: Secured Weight Release for Large Language Models via Taylor Expansion
Authors: Guanchu Wang, Yu-Neng Chuang, Ruixiang Tang, Shaochen Zhong, Jiayi Yuan, Hongye Jin, Zirui Liu, Vipin Chaudhary, Shuai Xu, James Caverlee, Xia Hu | Published: 2024-10-06
Artemis: Efficient Commit-and-Prove SNARKs for zkML
Authors: Hidde Lycklama, Alexander Viand, Nikolay Avramov, Nicolas Küchler, Anwar Hithnawi | Published: 2024-09-18
A Pervasive, Efficient and Private Future: Realizing Privacy-Preserving Machine Learning Through Hybrid Homomorphic Encryption
Authors: Khoa Nguyen, Mindaugas Budzys, Eugene Frimpong, Tanveer Khan, Antonis Michalas | Published: 2024-09-10
Privacy-preserving Quantification of Non-IID Degree in Federated Learning
Authors: Yuping Yan, Yizhi Wang, Yingchao Yu, Yaochu Jin | Published: 2024-06-14
Siren — Advancing Cybersecurity through Deception and Adaptive Analysis
Authors: Samhruth Ananthanarayanan, Girish Kulathumani, Ganesh Narayanan | Published: 2024-06-10 | Updated: 2025-04-24
A chaotic maps-based privacy-preserving distributed deep learning for incomplete and Non-IID datasets
Authors: Irina Arévalo, Jose L. Salmeron | Published: 2024-02-15
Smuche: Scalar-Multiplicative Caching in Homomorphic Encryption
Authors: Dongfang Zhao | Published: 2023-12-26