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PII-Compass: Guiding LLM training data extraction prompts towards the
  target PII via grounding

PII-Compass: Guiding LLM training data extraction prompts towards the target PII via grounding

3 July 2024
K. K. Nakka
Ahmed Frikha
Ricardo Mendes
Xue Jiang
Xuebing Zhou
ArXivPDFHTML

Papers citing "PII-Compass: Guiding LLM training data extraction prompts towards the target PII via grounding"

4 / 4 papers shown
Title
ReCIT: Reconstructing Full Private Data from Gradient in Parameter-Efficient Fine-Tuning of Large Language Models
ReCIT: Reconstructing Full Private Data from Gradient in Parameter-Efficient Fine-Tuning of Large Language Models
Jin Xie
Ruishi He
Songze Li
Xiaojun Jia
Shouling Ji
SILM
AAML
66
0
0
29 Apr 2025
The Power of Scale for Parameter-Efficient Prompt Tuning
The Power of Scale for Parameter-Efficient Prompt Tuning
Brian Lester
Rami Al-Rfou
Noah Constant
VPVLM
280
3,848
0
18 Apr 2021
The Pile: An 800GB Dataset of Diverse Text for Language Modeling
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
253
1,989
0
31 Dec 2020
Extracting Training Data from Large Language Models
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
1