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Do SSL Models Have Déjà Vu? A Case of Unintended Memorization in
  Self-supervised Learning

Do SSL Models Have Déjà Vu? A Case of Unintended Memorization in Self-supervised Learning

26 April 2023
Casey Meehan
Florian Bordes
Pascal Vincent
Kamalika Chaudhuri
Chuan Guo
ArXivPDFHTML

Papers citing "Do SSL Models Have Déjà Vu? A Case of Unintended Memorization in Self-supervised Learning"

18 / 18 papers shown
Title
Towards Democratizing Joint-Embedding Self-Supervised Learning
Towards Democratizing Joint-Embedding Self-Supervised Learning
Florian Bordes
Randall Balestriero
Pascal Vincent
51
20
0
03 Mar 2023
Are Attribute Inference Attacks Just Imputation?
Are Attribute Inference Attacks Just Imputation?
Bargav Jayaraman
David Evans
TDI
MIACV
56
49
0
02 Sep 2022
Quantifying Memorization Across Neural Language Models
Quantifying Memorization Across Neural Language Models
Nicholas Carlini
Daphne Ippolito
Matthew Jagielski
Katherine Lee
Florian Tramèr
Chiyuan Zhang
PILM
106
618
0
15 Feb 2022
Are Your Sensitive Attributes Private? Novel Model Inversion Attribute
  Inference Attacks on Classification Models
Are Your Sensitive Attributes Private? Novel Model Inversion Attribute Inference Attacks on Classification Models
Shagufta Mehnaz
S. V. Dibbo
Ehsanul Kabir
Ninghui Li
E. Bertino
MIACV
65
61
0
23 Jan 2022
Reconstructing Training Data with Informed Adversaries
Reconstructing Training Data with Informed Adversaries
Borja Balle
Giovanni Cherubin
Jamie Hayes
MIACV
AAML
81
168
0
13 Jan 2022
On the Importance of Difficulty Calibration in Membership Inference
  Attacks
On the Importance of Difficulty Calibration in Membership Inference Attacks
Lauren Watson
Chuan Guo
Graham Cormode
Alex Sablayrolles
79
131
0
15 Nov 2021
Masked Autoencoders Are Scalable Vision Learners
Masked Autoencoders Are Scalable Vision Learners
Kaiming He
Xinlei Chen
Saining Xie
Yanghao Li
Piotr Dollár
Ross B. Girshick
ViT
TPM
439
7,731
0
11 Nov 2021
Understanding Dimensional Collapse in Contrastive Self-supervised
  Learning
Understanding Dimensional Collapse in Contrastive Self-supervised Learning
Li Jing
Pascal Vincent
Yann LeCun
Yuandong Tian
SSL
115
350
0
18 Oct 2021
VICReg: Variance-Invariance-Covariance Regularization for
  Self-Supervised Learning
VICReg: Variance-Invariance-Covariance Regularization for Self-Supervised Learning
Adrien Bardes
Jean Ponce
Yann LeCun
SSL
DML
149
933
0
11 May 2021
Barlow Twins: Self-Supervised Learning via Redundancy Reduction
Barlow Twins: Self-Supervised Learning via Redundancy Reduction
Jure Zbontar
Li Jing
Ishan Misra
Yann LeCun
Stéphane Deny
SSL
300
2,343
0
04 Mar 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
450
1,915
0
14 Dec 2020
Exploring Simple Siamese Representation Learning
Exploring Simple Siamese Representation Learning
Xinlei Chen
Kaiming He
SSL
250
4,047
0
20 Nov 2020
Unsupervised Learning of Visual Features by Contrasting Cluster
  Assignments
Unsupervised Learning of Visual Features by Contrasting Cluster Assignments
Mathilde Caron
Ishan Misra
Julien Mairal
Priya Goyal
Piotr Bojanowski
Armand Joulin
OCL
SSL
218
4,073
0
17 Jun 2020
Bootstrap your own latent: A new approach to self-supervised Learning
Bootstrap your own latent: A new approach to self-supervised Learning
Jean-Bastien Grill
Florian Strub
Florent Altché
Corentin Tallec
Pierre Harvey Richemond
...
M. G. Azar
Bilal Piot
Koray Kavukcuoglu
Rémi Munos
Michal Valko
SSL
355
6,792
0
13 Jun 2020
Large Batch Training of Convolutional Networks
Large Batch Training of Convolutional Networks
Yang You
Igor Gitman
Boris Ginsburg
ODL
128
848
0
13 Aug 2017
Membership Inference Attacks against Machine Learning Models
Membership Inference Attacks against Machine Learning Models
Reza Shokri
M. Stronati
Congzheng Song
Vitaly Shmatikov
SLR
MIALM
MIACV
233
4,120
0
18 Oct 2016
Deep Learning with Differential Privacy
Deep Learning with Differential Privacy
Martín Abadi
Andy Chu
Ian Goodfellow
H. B. McMahan
Ilya Mironov
Kunal Talwar
Li Zhang
FedML
SyDa
194
6,113
0
01 Jul 2016
Batch Normalization: Accelerating Deep Network Training by Reducing
  Internal Covariate Shift
Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift
Sergey Ioffe
Christian Szegedy
OOD
450
43,277
0
11 Feb 2015
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