A Hybrid Federated Kernel Regularized Least Squares Algorithm
Authors: Celeste Damiani, Yulia Rodina, Sergio Decherchi | Published: 2024-07-24
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Private prediction for large-scale synthetic text generation
Authors: Kareem Amin, Alex Bie, Weiwei Kong, Alexey Kurakin, Natalia Ponomareva, Umar Syed, Andreas Terzis, Sergei Vassilvitskii | Published: 2024-07-16 | Updated: 2024-10-09
SLIP: Securing LLMs IP Using Weights Decomposition
Authors: Yehonathan Refael, Adam Hakim, Lev Greenberg, Tal Aviv, Satya Lokam, Ben Fishman, Shachar Seidman | Published: 2024-07-15 | Updated: 2024-08-01
On Discrete Prompt Optimization for Diffusion Models
Authors: Ruochen Wang, Ting Liu, Cho-Jui Hsieh, Boqing Gong | Published: 2024-06-27
Mind the Privacy Unit! User-Level Differential Privacy for Language Model Fine-Tuning
Authors: Lynn Chua, Badih Ghazi, Yangsibo Huang, Pritish Kamath, Ravi Kumar, Daogao Liu, Pasin Manurangsi, Amer Sinha, Chiyuan Zhang | Published: 2024-06-20 | Updated: 2024-08-16
Promoting Data and Model Privacy in Federated Learning through Quantized LoRA
Authors: JianHao Zhu, Changze Lv, Xiaohua Wang, Muling Wu, Wenhao Liu, Tianlong Li, Zixuan Ling, Cenyuan Zhang, Xiaoqing Zheng, Xuanjing Huang | Published: 2024-06-16
Speed-up of Data Analysis with Kernel Trick in Encrypted Domain
Authors: Joon Soo Yoo, Baek Kyung Song, Tae Min Ahn, Ji Won Heo, Ji Won Yoon | Published: 2024-06-14
Privacy-preserving Quantification of Non-IID Degree in Federated Learning
Authors: Yuping Yan, Yizhi Wang, Yingchao Yu, Yaochu Jin | Published: 2024-06-14
Noise-Aware Differentially Private Regression via Meta-Learning
Authors: Ossi Räisä, Stratis Markou, Matthew Ashman, Wessel P. Bruinsma, Marlon Tobaben, Antti Honkela, Richard E. Turner | Published: 2024-06-12 | Updated: 2025-05-08
Erasing Radio Frequency Fingerprints via Active Adversarial Perturbation
Authors: Zhaoyi Lu, Wenchao Xu, Ming Tu, Xin Xie, Cunqing Hua, Nan Cheng | Published: 2024-06-11 | Updated: 2024-06-12