CAPE: Context-Aware Private Embeddings for Private Language Learning

27 August 2021

Papers citing "CAPE: Context-Aware Private Embeddings for Private Language Learning"

20 / 20 papers shown

Title
Anti-adversarial Learning: Desensitizing Prompts for Large Language Models Xuan Li Zhe Yin Xiaodong Gu Beijun Shen AAML MU 60 0 0 25 Apr 2025
Towards Harnessing the Collaborative Power of Large and Small Models for Domain Tasks Yang Liu Bingjie Yan Tianyuan Zou Jianqing Zhang Zixuan Gu ... J. Li Xiaozhou Ye Ye Ouyang Qiang Yang Yuhang Zhang ALM 155 1 0 24 Apr 2025
Investigating User Perspectives on Differentially Private Text Privatization Stephen Meisenbacher Alexandra Klymenko Alexander Karpp Florian Matthes 57 0 0 12 Mar 2025
On the Vulnerability of Text Sanitization Meng Tong Kejiang Chen Xiaojian Yuang Xiaozhong Liu Wenbo Zhang Nenghai Yu Jie Zhang 52 0 0 22 Oct 2024
Private Language Models via Truncated Laplacian Mechanism Tianhao Huang Tao Yang Ivan Habernal Lijie Hu Di Wang 35 1 0 10 Oct 2024
Enhancing Text-to-SQL Capabilities of Large Language Models via Domain Database Knowledge Injection Xingyu Ma Xin Tian Lingxiang Wu Xuepeng Wang Xueming Tang Jinqiao Wang 49 0 0 24 Sep 2024
Protecting Privacy in Classifiers by Token Manipulation Reém Harel Yair Elboher Yuval Pinter 22 1 0 01 Jul 2024
The Fire Thief Is Also the Keeper: Balancing Usability and Privacy in Prompts Zhili Shen Zihang Xi Ying He Wei Tong Jingyu Hua Sheng Zhong SILM 48 7 0 20 Jun 2024
Privacy Preserving Prompt Engineering: A Survey Kennedy Edemacu Xintao Wu 47 18 0 09 Apr 2024
A Comparative Analysis of Word-Level Metric Differential Privacy: Benchmarking The Privacy-Utility Trade-off Stephen Meisenbacher Nihildev Nandakumar Alexandra Klymenko Florian Matthes 34 8 0 04 Apr 2024
Privacy-Preserving Language Model Inference with Instance Obfuscation Yixiang Yao Fei Wang Srivatsan Ravi Muhao Chen 19 6 0 13 Feb 2024
DEPN: Detecting and Editing Privacy Neurons in Pretrained Language Models Xinwei Wu Junzhuo Li Minghui Xu Weilong Dong Shuangzhi Wu Chao Bian Deyi Xiong MU KELM 27 46 0 31 Oct 2023
PrIeD-KIE: Towards Privacy Preserved Document Key Information Extraction S. Saifullah S. Agne Andreas Dengel Sheraz Ahmed 16 0 0 05 Oct 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 50 63 0 10 May 2023
Differentially Private Natural Language Models: Recent Advances and Future Directions Lijie Hu Ivan Habernal Lei Shen Di Wang AAML 30 18 0 22 Jan 2023
Fair NLP Models with Differentially Private Text Encoders Gaurav Maheshwari Pascal Denis Mikaela Keller A. Bellet FedML SILM 33 16 0 12 May 2022
You Are What You Write: Preserving Privacy in the Era of Large Language Models Richard Plant V. Giuffrida Dimitra Gkatzia PILM 23 19 0 20 Apr 2022
Debiasing Pre-trained Contextualised Embeddings Masahiro Kaneko Danushka Bollegala 218 138 0 23 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 290 1,815 0 14 Dec 2020