Quantifying Association Capabilities of Large Language Models and Its
Implications on Privacy Leakage

Quantifying Association Capabilities of Large Language Models and Its Implications on Privacy Leakage

22 May 2023

Kevin Chen-Chuan Chang

Papers citing "Quantifying Association Capabilities of Large Language Models and Its Implications on Privacy Leakage"

9 / 9 papers shown

Title
Undesirable Memorization in Large Language Models: A Survey Ali Satvaty Suzan Verberne Fatih Turkmen ELM PILM 69 7 0 03 Oct 2024
Reconstructing training data from document understanding models Jérémie Dentan Arnaud Paran A. Shabou AAML SyDa 34 1 0 05 Jun 2024
Quantifying and Analyzing Entity-level Memorization in Large Language Models Zhenhong Zhou Jiuyang Xiang Chao-Yi Chen Sen Su PILM 27 8 0 30 Aug 2023
Can Language Models Be Specific? How? Jie Huang Kevin Chen-Chuan Chang Jinjun Xiong Wen-mei W. Hwu 63 8 0 11 Oct 2022
Training language models to follow instructions with human feedback Long Ouyang Jeff Wu Xu Jiang Diogo Almeida Carroll L. Wainwright ... Amanda Askell Peter Welinder Paul Christiano Jan Leike Ryan J. Lowe OSLM ALM 303 11,881 0 04 Mar 2022
Deduplicating Training Data Makes Language Models Better Katherine Lee Daphne Ippolito A. Nystrom Chiyuan Zhang Douglas Eck Chris Callison-Burch Nicholas Carlini SyDa 237 588 0 14 Jul 2021
The Pile: An 800GB Dataset of Diverse Text for Language Modeling Leo Gao Stella Biderman Sid Black Laurence Golding Travis Hoppe ... Horace He Anish Thite Noa Nabeshima Shawn Presser Connor Leahy AIMat 245 1,986 0 31 Dec 2020
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 1,808 0 14 Dec 2020
Language Models as Knowledge Bases? Fabio Petroni Tim Rocktaschel Patrick Lewis A. Bakhtin Yuxiang Wu Alexander H. Miller Sebastian Riedel KELM AI4MH 406 2,576 0 03 Sep 2019