Differentially Private Representation for NLP: Formal Guarantee and An Empirical Study on Privacy and Fairness

3 October 2020

Papers citing "Differentially Private Representation for NLP: Formal Guarantee and An Empirical Study on Privacy and Fairness"

17 / 17 papers shown

Title
Prompt Inversion Attack against Collaborative Inference of Large Language Models Wenjie Qu Yuguang Zhou Yongji Wu Tingsong Xiao Binhang Yuan Y. Li Jiaheng Zhang 71 0 0 12 Mar 2025
ALGEN: Few-shot Inversion Attacks on Textual Embeddings using Alignment and Generation Yiyi Chen Qiongkai Xu Johannes Bjerva 44 0 0 16 Feb 2025
Large Language Models are Easily Confused: A Quantitative Metric, Security Implications and Typological Analysis Yiyi Chen Qiongxiu Li Russa Biswas Johannes Bjerva 36 1 0 17 Oct 2024
A Different Level Text Protection Mechanism With Differential Privacy Qingwen Fu 35 0 0 05 Sep 2024
NAP^2: A Benchmark for Naturalness and Privacy-Preserving Text Rewriting by Learning from Human Shuo Huang William MacLean Xiaoxi Kang Anqi Wu Lizhen Qu Qiongkai Xu Zhuang Li Xingliang Yuan Gholamreza Haffari 35 0 0 06 Jun 2024
ConfusionPrompt: Practical Private Inference for Online Large Language Models Peihua Mai Ran Yan Rui Ye Youjia Yang Yinchuan Li Yan Pang 18 1 0 30 Dec 2023
Protecting User Privacy in Remote Conversational Systems: A Privacy-Preserving framework based on text sanitization Zhigang Kan Linbo Qiao Hao Yu Liwen Peng Yifu Gao Dongsheng Li 26 20 0 14 Jun 2023
Privacy-Preserving Prompt Tuning for Large Language Model Services Yansong Li Zhixing Tan Yang Liu SILM VLM 45 63 0 10 May 2023
Function Composition in Trustworthy Machine Learning: Implementation Choices, Insights, and Questions Manish Nagireddy Moninder Singh Samuel C. Hoffman Evaline Ju K. Ramamurthy Kush R. Varshney 27 1 0 17 Feb 2023
Differentially Private Natural Language Models: Recent Advances and Future Directions Lijie Hu Ivan Habernal Lei Shen Di Wang AAML 20 18 0 22 Jan 2023
Differential Privacy in Natural Language Processing: The Story So Far Oleksandra Klymenko Stephen Meisenbacher Florian Matthes 28 15 0 17 Aug 2022
Pile of Law: Learning Responsible Data Filtering from the Law and a 256GB Open-Source Legal Dataset Peter Henderson M. Krass Lucia Zheng Neel Guha Christopher D. Manning Dan Jurafsky Daniel E. Ho AILaw ELM 129 97 0 01 Jul 2022
FairVFL: A Fair Vertical Federated Learning Framework with Contrastive Adversarial Learning Tao Qi Fangzhao Wu Chuhan Wu Lingjuan Lyu Tongye Xu Zhongliang Yang Yongfeng Huang Xing Xie FedML 29 36 0 07 Jun 2022
You Are What You Write: Preserving Privacy in the Era of Large Language Models Richard Plant V. Giuffrida Dimitra Gkatzia PILM 20 19 0 20 Apr 2022
Differentially Private Speaker Anonymization Ali Shahin Shamsabadi B. M. L. Srivastava A. Bellet Nathalie Vauquier Emmanuel Vincent Mohamed Maouche Marc Tommasi Nicolas Papernot MIACV 38 32 0 23 Feb 2022
Student Surpasses Teacher: Imitation Attack for Black-Box NLP APIs Qiongkai Xu Xuanli He Lingjuan Lyu Lizhen Qu Gholamreza Haffari MLAU 37 21 0 29 Aug 2021
Privacy and Robustness in Federated Learning: Attacks and Defenses Lingjuan Lyu Han Yu Xingjun Ma Chen Chen Lichao Sun Jun Zhao Qiang Yang Philip S. Yu FedML 180 355 0 07 Dec 2020