Initial Exploration of Zero-Shot Privacy Utility Tradeoffs in Tabular Data Using GPT-4
Authors: Bishwas Mandal, George Amariucai, Shuangqing Wei | Published: 2024-04-07
Privacy Protection Method
Advances in Differential Privacy and Differentially Private Machine Learning
Authors: Saswat Das, Subhankar Mishra | Published: 2024-04-06
Prompt Public Large Language Models to Synthesize Data for Private On-device Applications
Authors: Shanshan Wu, Zheng Xu, Yanxiang Zhang, Yuanbo Zhang, Daniel Ramage | Published: 2024-04-05 | Updated: 2024-08-07
AAA: an Adaptive Mechanism for Locally Differential Private Mean Estimation
Authors: Fei Wei, Ergute Bao, Xiaokui Xiao, Yin Yang, Bolin Ding | Published: 2024-04-02 | Updated: 2024-04-03
Can LLMs get help from other LLMs without revealing private information?
Authors: Florian Hartmann, Duc-Hieu Tran, Peter Kairouz, Victor Cărbune, Blaise Aguera y Arcas | Published: 2024-04-01 | Updated: 2024-04-02
Deciphering the Interplay between Local Differential Privacy, Average Bayesian Privacy, and Maximum Bayesian Privacy
Authors: Xiaojin Zhang, Yulin Fei, Wei Chen | Published: 2024-03-25 | Updated: 2024-04-02
Pencil: Private and Extensible Collaborative Learning without the Non-Colluding Assumption
Authors: Xuanqi Liu, Zhuotao Liu, Qi Li, Ke Xu, Mingwei Xu | Published: 2024-03-17
Interactive Trimming against Evasive Online Data Manipulation Attacks: A Game-Theoretic Approach
Authors: Yue Fu, Qingqing Ye, Rong Du, Haibo Hu | Published: 2024-03-15
SoK: Reducing the Vulnerability of Fine-tuned Language Models to Membership Inference Attacks
Authors: Guy Amit, Abigail Goldsteen, Ariel Farkash | Published: 2024-03-13
A Framework for Cost-Effective and Self-Adaptive LLM Shaking and Recovery Mechanism
Authors: Zhiyu Chen, Yu Li, Suochao Zhang, Jingbo Zhou, Jiwen Zhou, Chenfu Bao, Dianhai Yu | Published: 2024-03-12