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Differentially Private Language Models for Secure Data Sharing

25 October 2022

Papers citing "Differentially Private Language Models for Secure Data Sharing"

42 / 42 papers shown

Title
Private Training & Data Generation by Clustering Embeddings Felix Y. Zhou Samson Zhou Vahab Mirrokni Alessandro Epasto Vincent Cohen-Addad 7 0 0 20 Jun 2025
Synthesize Privacy-Preserving High-Resolution Images via Private Textual Intermediaries Haoxiang Wang Zinan Lin Da Yu Huishuai Zhang 12 0 0 09 Jun 2025
Improved Algorithms for Differentially Private Language Model Alignment Keyu Chen Hao Tang Qinglin Liu Yizhao Xu 52 0 0 13 May 2025
A False Sense of Privacy: Evaluating Textual Data Sanitization Beyond Surface-level Privacy Leakage Rui Xin Niloofar Mireshghallah Shuyue Stella Li Michael Duan Hyunwoo Kim Yejin Choi Yulia Tsvetkov Sewoong Oh Pang Wei Koh 143 7 0 28 Apr 2025
Private Federated Learning using Preference-Optimized Synthetic Data Charlie Hou Mei-Yu Wang Yige Zhu Daniel Lazar Giulia Fanti FedML Presented at ResearchTrend Connect \| FedML on 07 May 2025 183 2 0 23 Apr 2025
Can Performant LLMs Be Ethical? Quantifying the Impact of Web Crawling Opt-Outs Dongyang Fan Vinko Sabolčec Matin Ansaripour Ayush Kumar Tarun Martin Jaggi Antoine Bosselut Imanol Schlag 63 1 0 08 Apr 2025
From Easy to Hard: Building a Shortcut for Differentially Private Image Synthesis Kecen Li Chen Gong Xiaochen Li Yuzhong Zhao Xinwen Hou Tianhao Wang 85 1 0 02 Apr 2025
Generating Synthetic Data with Formal Privacy Guarantees: State of the Art and the Road Ahead Viktor Schlegel Anil A Bharath Zilong Zhao Kevin Yee 109 0 0 26 Mar 2025
Synthesizing Privacy-Preserving Text Data via Finetuning without Finetuning Billion-Scale LLMs Bowen Tan Zheng Xu Eric P. Xing Zhiting Hu Shanshan Wu SyDa 151 3 0 16 Mar 2025
Investigating User Perspectives on Differentially Private Text Privatization Stephen Meisenbacher Alexandra Klymenko Alexander Karpp Florian Matthes 84 0 0 12 Mar 2025
RewardDS: Privacy-Preserving Fine-Tuning for Large Language Models via Reward Driven Data Synthesis Jianwei Wang Junyao Yang Haoran Li Huiping Zhuang Cen Chen Huiping Zhuang SyDa 85 0 0 23 Feb 2025
PPC-GPT: Federated Task-Specific Compression of Large Language Models via Pruning and Chain-of-Thought Distillation Tao Fan Guoqiang Ma Yuanfeng Song Lixin Fan Kai Chen Qiang Yang 82 1 0 21 Feb 2025
The Canary's Echo: Auditing Privacy Risks of LLM-Generated Synthetic Text Matthieu Meeus Lukas Wutschitz Santiago Zanella Béguelin Shruti Tople Reza Shokri 171 1 0 19 Feb 2025
Data-adaptive Differentially Private Prompt Synthesis for In-Context Learning Fengyu Gao Ruida Zhou T. Wang Cong Shen Jing Yang 87 3 0 15 Oct 2024
Evaluating Differentially Private Synthetic Data Generation in High-Stakes Domains Krithika Ramesh Nupoor Gandhi Pulkit Madaan Lisa Bauer Charith Peris Anjalie Field SyDa 72 2 0 10 Oct 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 110 18 0 23 Aug 2024
HARMONIC: Harnessing LLMs for Tabular Data Synthesis and Privacy Protection Yuxin Wang Duanyu Feng Yongfu Dai Zhengyu Chen Jimin Huang Sophia Ananiadou Qianqian Xie Hao Wang 80 9 0 06 Aug 2024
TAROT: Task-Oriented Authorship Obfuscation Using Policy Optimization Methods Gabriel Loiseau Damien Sileo Damien Riquet Maxime Meyer Marc Tommasi 65 0 0 31 Jul 2024
Unique Security and Privacy Threats of Large Language Model: A Comprehensive Survey Shang Wang Tianqing Zhu Bo Liu Ming Ding Xu Guo Dayong Ye Wanlei Zhou Philip S. Yu PILM 131 20 0 12 Jun 2024
PrE-Text: Training Language Models on Private Federated Data in the Age of LLMs Charlie Hou Akshat Shrivastava Hongyuan Zhan Rylan Conway Trang Le Adithya Sagar Giulia Fanti Daniel Lazar 109 15 0 05 Jun 2024
Differentially Private Tabular Data Synthesis using Large Language Models Toan V. Tran Li Xiong SyDa 101 7 0 03 Jun 2024
PrivacyRestore: Privacy-Preserving Inference in Large Language Models via Privacy Removal and Restoration Huiping Zhuang Jianwei Wang Zhengdong Lu Huiping Zhuang Haoran Li Huiping Zhuang Cen Chen RALM KELM 121 8 0 03 Jun 2024
Federated Domain-Specific Knowledge Transfer on Large Language Models Using Synthetic Data Haoran Li Xinyuan Zhao Dadi Guo Hanlin Gu Huiping Zhuang Yuxing Han Yangqiu Song Lixin Fan Qiang Yang 84 1 0 23 May 2024
ALI-Agent: Assessing LLMs' Alignment with Human Values via Agent-based Evaluation Jingnan Zheng Han Wang An Zhang Tai D. Nguyen Jun Sun Tat-Seng Chua LLMAG 88 23 0 23 May 2024
Towards Algorithmic Fidelity: Mental Health Representation across Demographics in Synthetic vs. Human-generated Data Shinka Mori Oana Ignat Andrew Lee Rada Mihalcea 68 3 0 25 Mar 2024
Differentially Private Synthetic Data via Foundation Model APIs 2: Text Chulin Xie Zinan Lin A. Backurs Sivakanth Gopi Da Yu ... Haotian Jiang Huishuai Zhang Yin Tat Lee Yue Liu Sergey Yekhanin SyDa 111 44 0 04 Mar 2024
Differentially Private Knowledge Distillation via Synthetic Text Generation James Flemings Murali Annavaram SyDa 69 14 0 01 Mar 2024
Privacy-Preserving Instructions for Aligning Large Language Models Da Yu Peter Kairouz Sewoong Oh Zheng Xu 115 25 0 21 Feb 2024
Grounding Foundation Models through Federated Transfer Learning: A General Framework Yan Kang Tao Fan Hanlin Gu Xiaojin Zhang Lixin Fan Qiang Yang AI4CE 163 19 0 29 Nov 2023
DP-NMT: Scalable Differentially-Private Machine Translation Timour Igamberdiev Doan Nam Long Vu Felix Künnecke Zhuo Yu Jannik Holmer Ivan Habernal 91 7 0 24 Nov 2023
PrivLM-Bench: A Multi-level Privacy Evaluation Benchmark for Language Models Haoran Li Dadi Guo Donghao Li Wei Fan Qi Hu Xin Liu Chunkit Chan Duanyi Yao Yuan Yao Yangqiu Song PILM 95 25 0 07 Nov 2023
Privately Aligning Language Models with Reinforcement Learning Fan Wu Huseyin A. Inan A. Backurs Varun Chandrasekaran Janardhan Kulkarni Robert Sim 92 7 0 25 Oct 2023
Locally Differentially Private Document Generation Using Zero Shot Prompting Saiteja Utpala Sara Hooker Pin-Yu Chen 53 39 0 24 Oct 2023
Privacy in Large Language Models: Attacks, Defenses and Future Directions Haoran Li Yulin Chen Jinglong Luo Yan Kang Xiaojin Zhang Qi Hu Chunkit Chan Yangqiu Song PILM 114 44 0 16 Oct 2023
A Unified View of Differentially Private Deep Generative Modeling Dingfan Chen Raouf Kerkouche Mario Fritz SyDa 75 5 0 27 Sep 2023
Privacy-Preserving In-Context Learning with Differentially Private Few-Shot Generation Xinyu Tang Richard Shin Huseyin A. Inan Andre Manoel Fatemehsadat Mireshghallah Zinan Lin Sivakanth Gopi Janardhan Kulkarni Robert Sim 120 60 0 21 Sep 2023
Harnessing large-language models to generate private synthetic text Alexey Kurakin Natalia Ponomareva Umar Syed Liam MacDermed Andreas Terzis SILM SyDa 76 42 0 02 Jun 2023
Has It All Been Solved? Open NLP Research Questions Not Solved by Large Language Models Oana Ignat Zhijing Jin Artem Abzaliev Laura Biester Santiago Castro ... Verónica Pérez-Rosas Siqi Shen Zekun Wang Winston Wu Rada Mihalcea LRM 136 6 0 21 May 2023
Synthetic Query Generation for Privacy-Preserving Deep Retrieval Systems using Differentially Private Language Models Aldo G. Carranza Rezsa Farahani Natalia Ponomareva Alexey Kurakin Matthew Jagielski Milad Nasr SyDa 63 7 0 10 May 2023
DP-BART for Privatized Text Rewriting under Local Differential Privacy Timour Igamberdiev Ivan Habernal 91 18 0 15 Feb 2023
MAUVE Scores for Generative Models: Theory and Practice Krishna Pillutla Lang Liu John Thickstun Sean Welleck Swabha Swayamdipta Rowan Zellers Sewoong Oh Yejin Choi Zaïd Harchaoui EGVM 107 23 0 30 Dec 2022
Synthetic Text Generation with Differential Privacy: A Simple and Practical Recipe Xiang Yue Huseyin A. Inan Xuechen Li Girish Kumar Julia McAnallen Hoda Shajari Huan Sun David Levitan Robert Sim 152 86 0 25 Oct 2022