Split-and-Denoise: Protect large language model inference with local differential privacy

13 October 2023

Papers citing "Split-and-Denoise: Protect large language model inference with local differential privacy"

21 / 21 papers shown

Title
Privacy-Preserving Prompt Tuning for Large Language Model Services Yansong Li Zhixing Tan Yang Liu SILM VLM 79 67 0 10 May 2023
Analyzing Leakage of Personally Identifiable Information in Language Models Nils Lukas A. Salem Robert Sim Shruti Tople Lukas Wutschitz Santiago Zanella Béguelin PILM 100 226 0 01 Feb 2023
An Efficient Industrial Federated Learning Framework for AIoT: A Face Recognition Application Youlong Ding Xueyang Wu Zhitao Li Zeheng Wu S. Tan Qian Xu Weike Pan Qiang Yang FedML 53 4 0 21 Jun 2022
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 207 364 0 13 Oct 2021
Representations of Language Varieties Are Reliable Given Corpus Similarity Measures J. Dunn 29 11 0 03 Apr 2021
Investigating Societal Biases in a Poetry Composition System Emily Sheng David C. Uthus 58 53 0 05 Nov 2020
Explainable Automated Fact-Checking for Public Health Claims Neema Kotonya Francesca Toni 252 260 0 19 Oct 2020
Differentially Private Language Models Benefit from Public Pre-training Gavin Kerrigan Dylan Slack Jens Tuyls 63 57 0 13 Sep 2020
Efficient Intent Detection with Dual Sentence Encoders I. Casanueva Tadas Temvcinas D. Gerz Matthew Henderson Ivan Vulić VLM 322 470 0 10 Mar 2020
Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer Colin Raffel Noam M. Shazeer Adam Roberts Katherine Lee Sharan Narang Michael Matena Yanqi Zhou Wei Li Peter J. Liu AIMat 367 20,053 0 23 Oct 2019
DistilBERT, a distilled version of BERT: smaller, faster, cheaper and lighter Victor Sanh Lysandre Debut Julien Chaumond Thomas Wolf 194 7,465 0 02 Oct 2019
Detailed comparison of communication efficiency of split learning and federated learning Abhishek Singh Praneeth Vepakomma O. Gupta Ramesh Raskar FedML 51 189 0 18 Sep 2019
DP-LSSGD: A Stochastic Optimization Method to Lift the Utility in Privacy-Preserving ERM Bao Wang Quanquan Gu M. Boedihardjo Farzin Barekat Stanley J. Osher 69 25 0 28 Jun 2019
Split learning for health: Distributed deep learning without sharing raw patient data Praneeth Vepakomma O. Gupta Tristan Swedish Ramesh Raskar FedML 118 702 0 03 Dec 2018
Distributed learning of deep neural network over multiple agents O. Gupta Ramesh Raskar FedML OOD 54 603 0 14 Oct 2018
Hate Speech Dataset from a White Supremacy Forum Ona de Gibert Naiara Pérez Aitor García-Pablos Montse Cuadros 66 420 0 12 Sep 2018
Neural Network Acceptability Judgments Alex Warstadt Amanpreet Singh Samuel R. Bowman 207 1,406 0 31 May 2018
Improving the Gaussian Mechanism for Differential Privacy: Analytical Calibration and Optimal Denoising Borja Balle Yu Wang MLT 64 403 0 16 May 2018
Pointer Sentinel Mixture Models Stephen Merity Caiming Xiong James Bradbury R. Socher RALM 262 2,842 0 26 Sep 2016
SQuAD: 100,000+ Questions for Machine Comprehension of Text Pranav Rajpurkar Jian Zhang Konstantin Lopyrev Percy Liang RALM 229 8,113 0 16 Jun 2016
Good Debt or Bad Debt: Detecting Semantic Orientations in Economic Texts P. Malo Ankur Sinha P. Takala P. Korhonen J. Wallenius 63 509 0 19 Jul 2013