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2305.12707
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Quantifying Association Capabilities of Large Language Models and Its Implications on Privacy Leakage
22 May 2023
Hanyin Shao
Jie Huang
Shen Zheng
Kevin Chen-Chuan Chang
PILM
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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
33
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
248
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
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