DP-TabICL: In-Context Learning with Differentially Private Tabular Data

8 March 2024

Papers citing "DP-TabICL: In-Context Learning with Differentially Private Tabular Data"

9 / 9 papers shown

Title
Protecting Users From Themselves: Safeguarding Contextual Privacy in Interactions with Conversational Agents Ivoline Ngong Swanand Kadhe Hao Wang K. Murugesan Justin D. Weisz Amit Dhurandhar Karthikeyan N. Ramamurthy 49 2 0 22 Feb 2025
On the Privacy Risk of In-context Learning Haonan Duan Adam Dziedzic Mohammad Yaghini Nicolas Papernot Franziska Boenisch SILM PILM 63 36 0 15 Nov 2024
Data-adaptive Differentially Private Prompt Synthesis for In-Context Learning Fengyu Gao Ruida Zhou T. Wang Cong Shen Jing Yang 41 2 0 15 Oct 2024
Privacy Preserving Prompt Engineering: A Survey Kennedy Edemacu Xintao Wu 53 18 0 09 Apr 2024
From Supervised to Generative: A Novel Paradigm for Tabular Deep Learning with Large Language Models Xumeng Wen Han Zhang Shun Zheng Wei Xu Jiang Bian LMTD ALM 76 20 0 11 Oct 2023
Privacy-Preserving In-Context Learning for Large Language Models Tong Wu Ashwinee Panda Jiachen T. Wang Prateek Mittal 53 29 0 02 May 2023
Memorization in NLP Fine-tuning Methods Fatemehsadat Mireshghallah Archit Uniyal Tianhao Wang David Evans Taylor Berg-Kirkpatrick AAML 65 39 0 25 May 2022
Differentially Private Fine-tuning of Language Models Da Yu Saurabh Naik A. Backurs Sivakanth Gopi Huseyin A. Inan ... Y. Lee Andre Manoel Lukas Wutschitz Sergey Yekhanin Huishuai Zhang 134 347 0 13 Oct 2021
How BPE Affects Memorization in Transformers Eugene Kharitonov Marco Baroni Dieuwke Hupkes 169 32 0 06 Oct 2021