DP-OPT: Make Large Language Model Your Privacy-Preserving Prompt Engineer

27 November 2023

Papers citing "DP-OPT: Make Large Language Model Your Privacy-Preserving Prompt Engineer"

34 / 34 papers shown

Title
Anti-adversarial Learning: Desensitizing Prompts for Large Language Models Xuan Li Zhe Yin Xiaodong Gu Beijun Shen AAML MU 43 0 0 25 Apr 2025
PatientDx: Merging Large Language Models for Protecting Data-Privacy in Healthcare José G. Moreno Jesus Lovon M'Rick Robin-Charlet Christine Damase-Michel L. Tamine MoMe LM&MA 48 0 0 24 Apr 2025
Towards Harnessing the Collaborative Power of Large and Small Models for Domain Tasks Yang Janet Liu Bingjie Yan Tianyuan Zou Jianqing Zhang Zixuan Gu ... J. Li Xiaozhou Ye Ye Ouyang Qiang Yang Y. Zhang ALM 53 0 0 24 Apr 2025
Collaborative LLM Numerical Reasoning with Local Data Protection Min Zhang Yuzhe Lu Yun Zhou Panpan Xu Lin Lee Cheong Chang-Tien Lu Haozhu Wang 50 0 0 01 Apr 2025
DP-GPL: Differentially Private Graph Prompt Learning Jing Xu Franziska Boenisch Iyiola Emmanuel Olatunji Adam Dziedzic AAML 45 0 0 13 Mar 2025
Privacy Auditing of Large Language Models Ashwinee Panda Xinyu Tang Milad Nasr Christopher A. Choquette-Choo Prateek Mittal PILM 56 5 0 09 Mar 2025
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 K. Ramamurthy 42 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 58 35 0 15 Nov 2024
PAPILLON: Privacy Preservation from Internet-based and Local Language Model Ensembles Li Siyan Vethavikashini Chithrra Raghuram Omar Khattab Julia Hirschberg Zhou Yu 19 7 0 22 Oct 2024
On the Vulnerability of Text Sanitization Meng Tong Kejiang Chen Xiaojian Yuang J. Liu W. Zhang Nenghai Yu Jie Zhang 42 0 0 22 Oct 2024
Data-adaptive Differentially Private Prompt Synthesis for In-Context Learning Fengyu Gao Ruida Zhou T. Wang Cong Shen Jing Yang 23 2 0 15 Oct 2024
Bridging Today and the Future of Humanity: AI Safety in 2024 and Beyond Shanshan Han 64 1 0 09 Oct 2024
Confidential Prompting: Protecting User Prompts from Cloud LLM Providers In Gim Caihua Li Lin Zhong 35 2 0 27 Sep 2024
AI Delegates with a Dual Focus: Ensuring Privacy and Strategic Self-Disclosure Xi Chen Zhiyang Zhang Fangkai Yang Xiaoting Qin Chao Du ... Hangxin Liu Qingwei Lin Saravan Rajmohan Dongmei Zhang Qi Zhang 21 1 0 26 Sep 2024
LLM-PBE: Assessing Data Privacy in Large Language Models Qinbin Li Junyuan Hong Chulin Xie Jeffrey Tan Rachel Xin ... Dan Hendrycks Zhangyang Wang Bo Li Bingsheng He Dawn Song ELM PILM 23 1 0 23 Aug 2024
Private prediction for large-scale synthetic text generation Kareem Amin Alex Bie Weiwei Kong Alexey Kurakin Natalia Ponomareva Umar Syed Andreas Terzis Sergei Vassilvitskii SyDa SILM 30 2 0 16 Jul 2024
PFID: Privacy First Inference Delegation Framework for LLMs Haoyan Yang Zhitao Li Yong Zhang Jianzong Wang Ning Cheng Ming Li Jing Xiao 21 1 0 18 Jun 2024
Privacy Preserving Prompt Engineering: A Survey Kennedy Edemacu Xintao Wu 31 18 0 09 Apr 2024
Shake to Leak: Fine-tuning Diffusion Models Can Amplify the Generative Privacy Risk Zhangheng Li Junyuan Hong Bo-wen Li Zhangyang Wang DiffM 22 17 0 14 Mar 2024
DP-TabICL: In-Context Learning with Differentially Private Tabular Data Alycia N. Carey Karuna Bhaila Kennedy Edemacu Xintao Wu 24 7 0 08 Mar 2024
Privacy-Preserving Instructions for Aligning Large Language Models Da Yu Peter Kairouz Sewoong Oh Zheng Xu 32 10 0 21 Feb 2024
InferDPT: Privacy-Preserving Inference for Black-box Large Language Model Meng Tong Kejiang Chen Jie Zhang Yuang Qi Weiming Zhang Neng H. Yu Tianwei Zhang Zhikun Zhang SILM 11 2 0 18 Oct 2023
DPZero: Private Fine-Tuning of Language Models without Backpropagation Liang Zhang Bingcong Li K. K. Thekumparampil Sewoong Oh Niao He 22 7 0 14 Oct 2023
Graph Neural Prompting with Large Language Models Yijun Tian Huan Song Zichen Wang Haozhu Wang Ziqing Hu Fang Wang Nitesh V. Chawla Panpan Xu AI4CE 14 44 0 27 Sep 2023
Privacy-Preserving In-Context Learning for Large Language Models Tong Wu Ashwinee Panda Jiachen T. Wang Prateek Mittal 38 29 0 02 May 2023
Prompt Engineering for Healthcare: Methodologies and Applications Jiaqi Wang Enze Shi Sigang Yu Zihao Wu Chong Ma ... Dajiang Zhu Yixuan Yuan Dinggang Shen Tianming Liu Shu Zhang LM&MA 42 106 0 28 Apr 2023
Training language models to follow instructions with human feedback Long Ouyang Jeff Wu Xu Jiang Diogo Almeida Carroll L. Wainwright ... Amanda Askell Peter Welinder Paul Christiano Jan Leike Ryan J. Lowe OSLM ALM 301 11,730 0 04 Mar 2022
TEM: High Utility Metric Differential Privacy on Text Ricardo Silva Carvalho Theodore Vasiloudis Oluwaseyi Feyisetan 19 21 0 16 Jul 2021
Fantastically Ordered Prompts and Where to Find Them: Overcoming Few-Shot Prompt Order Sensitivity Yao Lu Max Bartolo Alastair Moore Sebastian Riedel Pontus Stenetorp AILaw LRM 274 882 0 18 Apr 2021
The Power of Scale for Parameter-Efficient Prompt Tuning Brian Lester Rami Al-Rfou Noah Constant VPVLM 278 3,784 0 18 Apr 2021
What Makes Good In-Context Examples for GPT- $3$ ? Jiachang Liu Dinghan Shen Yizhe Zhang Bill Dolan Lawrence Carin Weizhu Chen AAML RALM 275 1,296 0 17 Jan 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 264 1,798 0 14 Dec 2020
Language Models as Knowledge Bases? Fabio Petroni Tim Rocktaschel Patrick Lewis A. Bakhtin Yuxiang Wu Alexander H. Miller Sebastian Riedel KELM AI4MH 393 2,216 0 03 Sep 2019
GLUE: A Multi-Task Benchmark and Analysis Platform for Natural Language Understanding Alex Jinpeng Wang Amanpreet Singh Julian Michael Felix Hill Omer Levy Samuel R. Bowman ELM 294 6,927 0 20 Apr 2018