Rethinking Privacy in Machine Learning Pipelines from an Information Flow Control Perspective

27 November 2023

Papers citing "Rethinking Privacy in Machine Learning Pipelines from an Information Flow Control Perspective"

5 / 5 papers shown

Title
Privacy-Preserving Federated Embedding Learning for Localized Retrieval-Augmented Generation Qianren Mao Qili Zhang Hanwen Hao Zhentao Han Runhua Xu ... Bo Li Y. Song Jin Dong Jianxin Li Philip S. Yu 63 0 0 27 Apr 2025
Re-Imagen: Retrieval-Augmented Text-to-Image Generator Wenhu Chen Hexiang Hu Chitwan Saharia William W. Cohen VLM 114 159 0 29 Sep 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 131 344 0 13 Oct 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 267 1,798 0 14 Dec 2020
Distilling Knowledge from Reader to Retriever for Question Answering Gautier Izacard Edouard Grave RALM 173 249 0 08 Dec 2020