Differentially Private Natural Language Models: Recent Advances and
Future Directions

Differentially Private Natural Language Models: Recent Advances and Future Directions

22 January 2023

Lijie Hu

Papers citing "Differentially Private Natural Language Models: Recent Advances and Future Directions"

19 / 19 papers shown

Title
Empirical Calibration and Metric Differential Privacy in Language Models Pedro Faustini Natasha Fernandes Annabelle McIver Mark Dras 55 0 0 18 Mar 2025
Understanding Reasoning in Chain-of-Thought from the Hopfieldian View Lijie Hu Liang Liu Shu Yang Xin Chen Zhen Tan Muhammad Asif Ali Mengdi Li Di Wang LRM 39 1 0 04 Oct 2024
Leveraging Logical Rules in Knowledge Editing: A Cherry on the Top Keyuan Cheng Muhammad Asif Ali Shu Yang Gang Lin Yuxuan Zhai Haoyang Fei Ke Xu Lu Yu Lijie Hu Di Wang KELM 32 7 0 24 May 2024
Privacy Preserving Prompt Engineering: A Survey Kennedy Edemacu Xintao Wu 33 18 0 09 Apr 2024
Multi-hop Question Answering under Temporal Knowledge Editing Keyuan Cheng Gang Lin Haoyang Fei Yuxuan Zhai Lu Yu Muhammad Asif Ali Lijie Hu Di Wang KELM 19 21 0 30 Mar 2024
PROMPT-SAW: Leveraging Relation-Aware Graphs for Textual Prompt Compression Muhammad Asif Ali Zhengping Li Shu Yang Keyuan Cheng Yang Cao Tianhao Huang Lijie Hu Lu Yu Di Wang VLM RALM 32 9 0 30 Mar 2024
Dialectical Alignment: Resolving the Tension of 3H and Security Threats of LLMs Shu Yang Jiayuan Su Han Jiang Mengdi Li Keyuan Cheng Muhammad Asif Ali Lijie Hu Di Wang 16 5 0 30 Mar 2024
MONAL: Model Autophagy Analysis for Modeling Human-AI Interactions Shu Yang Muhammad Asif Ali Lu Yu Lijie Hu Di Wang LLMAG 11 2 0 17 Feb 2024
Regulating Large Language Models: A Roundtable Report Gabriel Nicholas Paul Friedl ELM AILaw 13 1 0 16 Feb 2024
PrIeD-KIE: Towards Privacy Preserved Document Key Information Extraction S. Saifullah S. Agne Andreas Dengel Sheraz Ahmed 8 0 0 05 Oct 2023
To share or not to share: What risks would laypeople accept to give sensitive data to differentially-private NLP systems? Christopher F. Weiss Frauke Kreuter Ivan Habernal 16 3 0 13 Jul 2023
Diminished Diversity-of-Thought in a Standard Large Language Model Peter S. Park P. Schoenegger Chongyang Zhu ELM AI4CE ALM 20 36 0 13 Feb 2023
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 134 344 0 13 Oct 2021
TEM: High Utility Metric Differential Privacy on Text Ricardo Silva Carvalho Theodore Vasiloudis Oluwaseyi Feyisetan 21 36 0 16 Jul 2021
On a Utilitarian Approach to Privacy Preserving Text Generation Zekun Xu Abhinav Aggarwal Oluwaseyi Feyisetan Nathanael Teissier 24 24 0 23 Apr 2021
Practical and Private (Deep) Learning without Sampling or Shuffling Peter Kairouz Brendan McMahan Shuang Song Om Thakkar Abhradeep Thakurta Zheng Xu FedML 170 193 0 26 Feb 2021
Extracting Training Data from Large Language Models Nicholas Carlini Florian Tramèr Eric Wallace Matthew Jagielski Ariel Herbert-Voss ... Tom B. Brown D. Song Ulfar Erlingsson Alina Oprea Colin Raffel MLAU SILM 267 1,798 0 14 Dec 2020
Privacy Amplification by Decentralization Edwige Cyffers A. Bellet FedML 32 39 0 09 Dec 2020
Efficient Estimation of Word Representations in Vector Space Tomáš Mikolov Kai Chen G. Corrado J. Dean 3DV 228 29,632 0 16 Jan 2013