Privately Aligning Language Models with Reinforcement Learning
Authors: Fan Wu, Huseyin A. Inan, Arturs Backurs, Varun Chandrasekaran, Janardhan Kulkarni, Robert Sim | Published: 2023-10-25 | Updated: 2024-05-03
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Locally Differentially Private Document Generation Using Zero Shot Prompting
Authors: Saiteja Utpala, Sara Hooker, Pin Yu Chen | Published: 2023-10-24 | Updated: 2023-11-30
SoK: Memorization in General-Purpose Large Language Models
Authors: Valentin Hartmann, Anshuman Suri, Vincent Bindschaedler, David Evans, Shruti Tople, Robert West | Published: 2023-10-24
Privacy Amplification for Matrix Mechanisms
Authors: Christopher A. Choquette-Choo, Arun Ganesh, Thomas Steinke, Abhradeep Thakurta | Published: 2023-10-24 | Updated: 2024-05-04
Zero-knowledge Proof Meets Machine Learning in Verifiability: A Survey
Authors: Zhibo Xing, Zijian Zhang, Jiamou Liu, Ziang Zhang, Meng Li, Liehuang Zhu, Giovanni Russello | Published: 2023-10-23
B^2SFL: A Bi-level Blockchained Architecture for Secure Federated Learning-based Traffic Prediction
Authors: Hao Guo, Collin Meese, Wanxin Li, Chien-Chung Shen, Mark Nejad | Published: 2023-10-23
Privacy Preserving Large Language Models: ChatGPT Case Study Based Vision and Framework
Authors: Imdad Ullah, Najm Hassan, Sukhpal Singh Gill, Basem Suleiman, Tariq Ahamed Ahanger, Zawar Shah, Junaid Qadir, Salil S. Kanhere | Published: 2023-10-19
A Cautionary Tale: On the Role of Reference Data in Empirical Privacy Defenses
Authors: Caelin G. Kaplan, Chuan Xu, Othmane Marfoq, Giovanni Neglia, Anderson Santana de Oliveira | Published: 2023-10-18
Last One Standing: A Comparative Analysis of Security and Privacy of Soft Prompt Tuning, LoRA, and In-Context Learning
Authors: Rui Wen, Tianhao Wang, Michael Backes, Yang Zhang, Ahmed Salem | Published: 2023-10-17
Privacy-Preserving Graph Embedding based on Local Differential Privacy
Authors: Zening Li, Rong-Hua Li, Meihao Liao, Fusheng Jin, Guoren Wang | Published: 2023-10-17 | Updated: 2024-08-04