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Did the Neurons Read your Book? Document-level Membership Inference for
  Large Language Models

Did the Neurons Read your Book? Document-level Membership Inference for Large Language Models

23 October 2023
Matthieu Meeus
Shubham Jain
Marek Rei
Yves-Alexandre de Montjoye
    MIALM
ArXivPDFHTML

Papers citing "Did the Neurons Read your Book? Document-level Membership Inference for Large Language Models"

14 / 14 papers shown
Title
The Canary's Echo: Auditing Privacy Risks of LLM-Generated Synthetic Text
The Canary's Echo: Auditing Privacy Risks of LLM-Generated Synthetic Text
Matthieu Meeus
Lukas Wutschitz
Santiago Zanella Béguelin
Shruti Tople
Reza Shokri
75
0
0
24 Feb 2025
Data Extraction Attacks in Retrieval-Augmented Generation via Backdoors
Data Extraction Attacks in Retrieval-Augmented Generation via Backdoors
Yuefeng Peng
Junda Wang
Hong-ye Yu
Amir Houmansadr
SILM
50
2
0
03 Nov 2024
Detecting Training Data of Large Language Models via Expectation Maximization
Detecting Training Data of Large Language Models via Expectation Maximization
Gyuwan Kim
Yang Li
Evangelia Spiliopoulou
Jie Ma
Miguel Ballesteros
William Yang Wang
MIALM
90
3
2
10 Oct 2024
Membership Inference Attacks Cannot Prove that a Model Was Trained On Your Data
Membership Inference Attacks Cannot Prove that a Model Was Trained On Your Data
Jie Zhang
Debeshee Das
Gautam Kamath
Florian Tramèr
MIALM
MIACV
223
16
1
29 Sep 2024
Strong Copyright Protection for Language Models via Adaptive Model
  Fusion
Strong Copyright Protection for Language Models via Adaptive Model Fusion
Javier Abad
Konstantin Donhauser
Francesco Pinto
Fanny Yang
35
4
0
29 Jul 2024
Blind Baselines Beat Membership Inference Attacks for Foundation Models
Blind Baselines Beat Membership Inference Attacks for Foundation Models
Debeshee Das
Jie Zhang
Florian Tramèr
MIALM
72
28
1
23 Jun 2024
The Mosaic Memory of Large Language Models
The Mosaic Memory of Large Language Models
Igor Shilov
Matthieu Meeus
Yves-Alexandre de Montjoye
39
3
0
24 May 2024
Min-K%++: Improved Baseline for Detecting Pre-Training Data from Large Language Models
Min-K%++: Improved Baseline for Detecting Pre-Training Data from Large Language Models
Jingyang Zhang
Jingwei Sun
Eric C. Yeats
Ouyang Yang
Martin Kuo
Jianyi Zhang
Hao Frank Yang
Hai Li
29
41
0
03 Apr 2024
Achilles' Heels: Vulnerable Record Identification in Synthetic Data
  Publishing
Achilles' Heels: Vulnerable Record Identification in Synthetic Data Publishing
Matthieu Meeus
Florent Guépin
Ana-Maria Cretu
Yves-Alexandre de Montjoye
52
23
0
17 Jun 2023
Zero-Shot Text-to-Image Generation
Zero-Shot Text-to-Image Generation
Aditya A. Ramesh
Mikhail Pavlov
Gabriel Goh
Scott Gray
Chelsea Voss
Alec Radford
Mark Chen
Ilya Sutskever
VLM
253
4,764
0
24 Feb 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
245
1,986
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
267
1,808
0
14 Dec 2020
Scaling Laws for Neural Language Models
Scaling Laws for Neural Language Models
Jared Kaplan
Sam McCandlish
T. Henighan
Tom B. Brown
B. Chess
R. Child
Scott Gray
Alec Radford
Jeff Wu
Dario Amodei
226
4,424
0
23 Jan 2020
The Woman Worked as a Babysitter: On Biases in Language Generation
The Woman Worked as a Babysitter: On Biases in Language Generation
Emily Sheng
Kai-Wei Chang
Premkumar Natarajan
Nanyun Peng
206
615
0
03 Sep 2019
1