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Membership Inference on Word Embedding and Beyond

Membership Inference on Word Embedding and Beyond

21 June 2021
Saeed Mahloujifar
Huseyin A. Inan
Melissa Chase
Esha Ghosh
Marcello Hasegawa
    MIACV
    SILM
ArXivPDFHTML

Papers citing "Membership Inference on Word Embedding and Beyond"

34 / 34 papers shown
Title
Membership Inference Attacks against Large Vision-Language Models
Membership Inference Attacks against Large Vision-Language Models
Zhan Li
Yongtao Wu
Yihang Chen
F. Tonin
Elias Abad Rocamora
V. Cevher
44
4
0
05 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
95
4
2
10 Oct 2024
Range Membership Inference Attacks
Range Membership Inference Attacks
Jiashu Tao
Reza Shokri
42
1
0
09 Aug 2024
LLMs Plagiarize: Ensuring Responsible Sourcing of Large Language Model
  Training Data Through Knowledge Graph Comparison
LLMs Plagiarize: Ensuring Responsible Sourcing of Large Language Model Training Data Through Knowledge Graph Comparison
Devam Mondal
Carlo Lipizzi
18
0
0
02 Jul 2024
PaCoST: Paired Confidence Significance Testing for Benchmark Contamination Detection in Large Language Models
PaCoST: Paired Confidence Significance Testing for Benchmark Contamination Detection in Large Language Models
Huixuan Zhang
Yun Lin
Xiaojun Wan
50
0
0
26 Jun 2024
Reconstructing training data from document understanding models
Reconstructing training data from document understanding models
Jérémie Dentan
Arnaud Paran
A. Shabou
AAML
SyDa
49
1
0
05 Jun 2024
PrivacyRestore: Privacy-Preserving Inference in Large Language Models
  via Privacy Removal and Restoration
PrivacyRestore: Privacy-Preserving Inference in Large Language Models via Privacy Removal and Restoration
Ziqian Zeng
Jianwei Wang
Zhengdong Lu
Huiping Zhuang
Cen Chen
RALM
KELM
48
7
0
03 Jun 2024
Is My Data in Your Retrieval Database? Membership Inference Attacks Against Retrieval Augmented Generation
Is My Data in Your Retrieval Database? Membership Inference Attacks Against Retrieval Augmented Generation
Maya Anderson
Guy Amit
Abigail Goldsteen
AAML
53
13
0
30 May 2024
AI Risk Management Should Incorporate Both Safety and Security
AI Risk Management Should Incorporate Both Safety and Security
Xiangyu Qi
Yangsibo Huang
Yi Zeng
Edoardo Debenedetti
Jonas Geiping
...
Chaowei Xiao
Bo-wen Li
Dawn Song
Peter Henderson
Prateek Mittal
AAML
51
11
0
29 May 2024
Towards Black-Box Membership Inference Attack for Diffusion Models
Towards Black-Box Membership Inference Attack for Diffusion Models
Jingwei Li
Jingyi Dong
Tianxing He
Jingzhao Zhang
30
3
0
25 May 2024
Data Contamination Calibration for Black-box LLMs
Data Contamination Calibration for Black-box LLMs
Wen-song Ye
Jiaqi Hu
Liyao Li
Haobo Wang
Gang Chen
Junbo Zhao
40
6
0
20 May 2024
Elephants Never Forget: Memorization and Learning of Tabular Data in
  Large Language Models
Elephants Never Forget: Memorization and Learning of Tabular Data in Large Language Models
Sebastian Bordt
Harsha Nori
Vanessa Rodrigues
Besmira Nushi
Rich Caruana
38
12
0
09 Apr 2024
A Unified Membership Inference Method for Visual Self-supervised Encoder
  via Part-aware Capability
A Unified Membership Inference Method for Visual Self-supervised Encoder via Part-aware Capability
Jie Zhu
Jirong Zha
Ding Li
Leye Wang
37
6
0
03 Apr 2024
Watermarking Makes Language Models Radioactive
Watermarking Makes Language Models Radioactive
Tom Sander
Pierre Fernandez
Alain Durmus
Matthijs Douze
Teddy Furon
WaLM
41
11
0
22 Feb 2024
Investigating Data Contamination for Pre-training Language Models
Investigating Data Contamination for Pre-training Language Models
Minhao Jiang
Ken Ziyu Liu
Ming Zhong
Rylan Schaeffer
Siru Ouyang
Jiawei Han
Sanmi Koyejo
33
63
0
11 Jan 2024
A Survey on Large Language Model (LLM) Security and Privacy: The Good,
  the Bad, and the Ugly
A Survey on Large Language Model (LLM) Security and Privacy: The Good, the Bad, and the Ugly
Yifan Yao
Jinhao Duan
Kaidi Xu
Yuanfang Cai
Eric Sun
Yue Zhang
PILM
ELM
39
475
0
04 Dec 2023
Detecting Pretraining Data from Large Language Models
Detecting Pretraining Data from Large Language Models
Weijia Shi
Anirudh Ajith
Mengzhou Xia
Yangsibo Huang
Daogao Liu
Terra Blevins
Danqi Chen
Luke Zettlemoyer
MIALM
33
162
0
25 Oct 2023
Assessing Privacy Risks in Language Models: A Case Study on
  Summarization Tasks
Assessing Privacy Risks in Language Models: A Case Study on Summarization Tasks
Ruixiang Tang
Gord Lueck
Rodolfo Quispe
Huseyin A. Inan
Janardhan Kulkarni
Xia Hu
29
6
0
20 Oct 2023
Privacy in Large Language Models: Attacks, Defenses and Future
  Directions
Privacy in Large Language Models: Attacks, Defenses and Future Directions
Haoran Li
Yulin Chen
Jinglong Luo
Yan Kang
Xiaojin Zhang
Qi Hu
Chunkit Chan
Yangqiu Song
PILM
45
42
0
16 Oct 2023
Improved Membership Inference Attacks Against Language Classification
  Models
Improved Membership Inference Attacks Against Language Classification Models
Shlomit Shachor
N. Razinkov
Abigail Goldsteen
29
5
0
11 Oct 2023
Identifying and Mitigating Privacy Risks Stemming from Language Models:
  A Survey
Identifying and Mitigating Privacy Risks Stemming from Language Models: A Survey
Victoria Smith
Ali Shahin Shamsabadi
Carolyn Ashurst
Adrian Weller
PILM
32
24
0
27 Sep 2023
Training Data Extraction From Pre-trained Language Models: A Survey
Training Data Extraction From Pre-trained Language Models: A Survey
Shotaro Ishihara
26
46
0
25 May 2023
Does Prompt-Tuning Language Model Ensure Privacy?
Does Prompt-Tuning Language Model Ensure Privacy?
Shangyu Xie
Wei Dai
Esha Ghosh
Sambuddha Roy
Dan Schwartz
Kim Laine
SILM
48
4
0
07 Apr 2023
Stealing the Decoding Algorithms of Language Models
Stealing the Decoding Algorithms of Language Models
A. Naseh
Kalpesh Krishna
Mohit Iyyer
Amir Houmansadr
MLAU
56
20
0
08 Mar 2023
SoK: Let the Privacy Games Begin! A Unified Treatment of Data Inference
  Privacy in Machine Learning
SoK: Let the Privacy Games Begin! A Unified Treatment of Data Inference Privacy in Machine Learning
A. Salem
Giovanni Cherubin
David E. Evans
Boris Köpf
Andrew J. Paverd
Anshuman Suri
Shruti Tople
Santiago Zanella Béguelin
47
35
0
21 Dec 2022
M^4I: Multi-modal Models Membership Inference
M^4I: Multi-modal Models Membership Inference
Pingyi Hu
Zihan Wang
Ruoxi Sun
Hu Wang
Minhui Xue
39
26
0
15 Sep 2022
Subject Membership Inference Attacks in Federated Learning
Subject Membership Inference Attacks in Federated Learning
Anshuman Suri
Pallika H. Kanani
Virendra J. Marathe
Daniel W. Peterson
30
25
0
07 Jun 2022
Quantifying Privacy Risks of Masked Language Models Using Membership
  Inference Attacks
Quantifying Privacy Risks of Masked Language Models Using Membership Inference Attacks
Fatemehsadat Mireshghallah
Kartik Goyal
Archit Uniyal
Taylor Berg-Kirkpatrick
Reza Shokri
MIALM
32
151
0
08 Mar 2022
What Does it Mean for a Language Model to Preserve Privacy?
What Does it Mean for a Language Model to Preserve Privacy?
Hannah Brown
Katherine Lee
Fatemehsadat Mireshghallah
Reza Shokri
Florian Tramèr
PILM
31
232
0
11 Feb 2022
Membership Inference Attacks on Machine Learning: A Survey
Membership Inference Attacks on Machine Learning: A Survey
Hongsheng Hu
Z. Salcic
Lichao Sun
Gillian Dobbie
Philip S. Yu
Xuyun Zhang
MIACV
35
412
0
14 Mar 2021
Membership Inference Attack on Graph Neural Networks
Membership Inference Attack on Graph Neural Networks
Iyiola E. Olatunji
Wolfgang Nejdl
Megha Khosla
AAML
38
97
0
17 Jan 2021
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
When is Memorization of Irrelevant Training Data Necessary for
  High-Accuracy Learning?
When is Memorization of Irrelevant Training Data Necessary for High-Accuracy Learning?
Gavin Brown
Mark Bun
Vitaly Feldman
Adam D. Smith
Kunal Talwar
253
93
0
11 Dec 2020
Efficient Estimation of Word Representations in Vector Space
Efficient Estimation of Word Representations in Vector Space
Tomáš Mikolov
Kai Chen
G. Corrado
J. Dean
3DV
254
31,267
0
16 Jan 2013
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