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Label-Only Membership Inference Attacks

Label-Only Membership Inference Attacks

28 July 2020
Christopher A. Choquette-Choo
Florian Tramèr
Nicholas Carlini
Nicolas Papernot
    MIACV
    MIALM
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Papers citing "Label-Only Membership Inference Attacks"

40 / 90 papers shown
Title
Membership Inference Attacks via Adversarial Examples
Membership Inference Attacks via Adversarial Examples
Hamid Jalalzai
Elie Kadoche
Rémi Leluc
Vincent Plassier
AAML
FedML
MIACV
29
7
0
27 Jul 2022
How many perturbations break this model? Evaluating robustness beyond
  adversarial accuracy
How many perturbations break this model? Evaluating robustness beyond adversarial accuracy
R. Olivier
Bhiksha Raj
AAML
29
5
0
08 Jul 2022
The Privacy Onion Effect: Memorization is Relative
The Privacy Onion Effect: Memorization is Relative
Nicholas Carlini
Matthew Jagielski
Chiyuan Zhang
Nicolas Papernot
Andreas Terzis
Florian Tramèr
PILM
MIACV
30
99
0
21 Jun 2022
NeuGuard: Lightweight Neuron-Guided Defense against Membership Inference
  Attacks
NeuGuard: Lightweight Neuron-Guided Defense against Membership Inference Attacks
Nuo Xu
Binghui Wang
Ran Ran
Wujie Wen
Parv Venkitasubramaniam
AAML
18
5
0
11 Jun 2022
Privacy for Free: How does Dataset Condensation Help Privacy?
Privacy for Free: How does Dataset Condensation Help Privacy?
Tian Dong
Bo-Lu Zhao
Lingjuan Lyu
DD
20
113
0
01 Jun 2022
A Blessing of Dimensionality in Membership Inference through
  Regularization
A Blessing of Dimensionality in Membership Inference through Regularization
Jasper Tan
Daniel LeJeune
Blake Mason
Hamid Javadi
Richard G. Baraniuk
26
18
0
27 May 2022
Membership Inference Attack Using Self Influence Functions
Membership Inference Attack Using Self Influence Functions
Gilad Cohen
Raja Giryes
TDI
25
12
0
26 May 2022
Evaluating Membership Inference Through Adversarial Robustness
Evaluating Membership Inference Through Adversarial Robustness
Zhaoxi Zhang
L. Zhang
Xufei Zheng
Bilal Hussain Abbasi
Shengshan Hu
AAML
47
14
0
14 May 2022
How to Combine Membership-Inference Attacks on Multiple Updated Models
How to Combine Membership-Inference Attacks on Multiple Updated Models
Matthew Jagielski
Stanley Wu
Alina Oprea
Jonathan R. Ullman
Roxana Geambasu
21
10
0
12 May 2022
The MeVer DeepFake Detection Service: Lessons Learnt from Developing and
  Deploying in the Wild
The MeVer DeepFake Detection Service: Lessons Learnt from Developing and Deploying in the Wild
Spyridon Baxevanakis
Giorgos Kordopatis-Zilos
Panagiotis Galopoulos
Lazaros Apostolidis
Killian Levacher
Ipek B. Schlicht
Denis Teyssou
I. Kompatsiaris
Symeon Papadopoulos
34
8
0
27 Apr 2022
One Parameter Defense -- Defending against Data Inference Attacks via
  Differential Privacy
One Parameter Defense -- Defending against Data Inference Attacks via Differential Privacy
Dayong Ye
Sheng Shen
Tianqing Zhu
B. Liu
Wanlei Zhou
MIACV
14
61
0
13 Mar 2022
Towards a Responsible AI Development Lifecycle: Lessons From Information
  Security
Towards a Responsible AI Development Lifecycle: Lessons From Information Security
Erick Galinkin
SILM
11
6
0
06 Mar 2022
Label-Only Model Inversion Attacks via Boundary Repulsion
Label-Only Model Inversion Attacks via Boundary Repulsion
Mostafa Kahla
Si-An Chen
H. Just
R. Jia
30
74
0
03 Mar 2022
MIAShield: Defending Membership Inference Attacks via Preemptive
  Exclusion of Members
MIAShield: Defending Membership Inference Attacks via Preemptive Exclusion of Members
Ismat Jarin
Birhanu Eshete
24
9
0
02 Mar 2022
Bounding Membership Inference
Bounding Membership Inference
Anvith Thudi
Ilia Shumailov
Franziska Boenisch
Nicolas Papernot
27
18
0
24 Feb 2022
Deletion Inference, Reconstruction, and Compliance in Machine
  (Un)Learning
Deletion Inference, Reconstruction, and Compliance in Machine (Un)Learning
Ji Gao
Sanjam Garg
Mohammad Mahmoody
Prashant Nalini Vasudevan
MIACV
AAML
19
22
0
07 Feb 2022
Membership Inference Attacks and Defenses in Neural Network Pruning
Membership Inference Attacks and Defenses in Neural Network Pruning
Xiaoyong Yuan
Lan Zhang
AAML
16
44
0
07 Feb 2022
Redactor: A Data-centric and Individualized Defense Against Inference
  Attacks
Redactor: A Data-centric and Individualized Defense Against Inference Attacks
Geon Heo
Steven Euijong Whang
AAML
15
2
0
07 Feb 2022
Security for Machine Learning-based Software Systems: a survey of
  threats, practices and challenges
Security for Machine Learning-based Software Systems: a survey of threats, practices and challenges
Huaming Chen
Muhammad Ali Babar
AAML
29
21
0
12 Jan 2022
Model Stealing Attacks Against Inductive Graph Neural Networks
Model Stealing Attacks Against Inductive Graph Neural Networks
Yun Shen
Xinlei He
Yufei Han
Yang Zhang
16
60
0
15 Dec 2021
Membership Inference Attacks From First Principles
Membership Inference Attacks From First Principles
Nicholas Carlini
Steve Chien
Milad Nasr
Shuang Song
Andreas Terzis
Florian Tramèr
MIACV
MIALM
24
639
0
07 Dec 2021
SHAPr: An Efficient and Versatile Membership Privacy Risk Metric for
  Machine Learning
SHAPr: An Efficient and Versatile Membership Privacy Risk Metric for Machine Learning
Vasisht Duddu
S. Szyller
Nadarajah Asokan
24
12
0
04 Dec 2021
Property Inference Attacks Against GANs
Property Inference Attacks Against GANs
Junhao Zhou
Yufei Chen
Chao Shen
Yang Zhang
AAML
MIACV
28
52
0
15 Nov 2021
Generalization Techniques Empirically Outperform Differential Privacy
  against Membership Inference
Generalization Techniques Empirically Outperform Differential Privacy against Membership Inference
Jiaxiang Liu
Simon Oya
Florian Kerschbaum
MIACV
11
9
0
11 Oct 2021
SoK: Machine Learning Governance
SoK: Machine Learning Governance
Varun Chandrasekaran
Hengrui Jia
Anvith Thudi
Adelin Travers
Mohammad Yaghini
Nicolas Papernot
32
16
0
20 Sep 2021
Membership Inference Attacks Against Recommender Systems
Membership Inference Attacks Against Recommender Systems
Minxing Zhang
Z. Ren
Zihan Wang
Pengjie Ren
Zhumin Chen
Pengfei Hu
Yang Zhang
MIACV
AAML
18
83
0
16 Sep 2021
Membership Inference Attacks Against Temporally Correlated Data in Deep
  Reinforcement Learning
Membership Inference Attacks Against Temporally Correlated Data in Deep Reinforcement Learning
Maziar Gomrokchi
Susan Amin
Hossein Aboutalebi
Alexander Wong
Doina Precup
MIACV
AAML
29
3
0
08 Sep 2021
Survey: Leakage and Privacy at Inference Time
Survey: Leakage and Privacy at Inference Time
Marija Jegorova
Chaitanya Kaul
Charlie Mayor
Alison Q. OÑeil
Alexander Weir
Roderick Murray-Smith
Sotirios A. Tsaftaris
PILM
MIACV
17
71
0
04 Jul 2021
Membership Inference on Word Embedding and Beyond
Membership Inference on Word Embedding and Beyond
Saeed Mahloujifar
Huseyin A. Inan
Melissa Chase
Esha Ghosh
Marcello Hasegawa
MIACV
SILM
19
46
0
21 Jun 2021
Bad Characters: Imperceptible NLP Attacks
Bad Characters: Imperceptible NLP Attacks
Nicholas Boucher
Ilia Shumailov
Ross J. Anderson
Nicolas Papernot
AAML
SILM
14
103
0
18 Jun 2021
Membership Inference Attacks on Deep Regression Models for Neuroimaging
Membership Inference Attacks on Deep Regression Models for Neuroimaging
Umang Gupta
Dmitris Stripelis
Pradeep Lam
Paul M. Thompson
J. Ambite
Greg Ver Steeg
MIACV
FedML
16
32
0
06 May 2021
A Review of Confidentiality Threats Against Embedded Neural Network
  Models
A Review of Confidentiality Threats Against Embedded Neural Network Models
Raphael Joud
Pierre-Alain Moëllic
Rémi Bernhard
J. Rigaud
28
6
0
04 May 2021
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
30
412
0
14 Mar 2021
Membership Inference Attacks are Easier on Difficult Problems
Membership Inference Attacks are Easier on Difficult Problems
Avital Shafran
Shmuel Peleg
Yedid Hoshen
MIACV
9
16
0
15 Feb 2021
Quantifying and Mitigating Privacy Risks of Contrastive Learning
Quantifying and Mitigating Privacy Risks of Contrastive Learning
Xinlei He
Yang Zhang
11
51
0
08 Feb 2021
Adversary Instantiation: Lower Bounds for Differentially Private Machine
  Learning
Adversary Instantiation: Lower Bounds for Differentially Private Machine Learning
Milad Nasr
Shuang Song
Abhradeep Thakurta
Nicolas Papernot
Nicholas Carlini
MIACV
FedML
58
216
0
11 Jan 2021
Membership Leakage in Label-Only Exposures
Membership Leakage in Label-Only Exposures
Zheng Li
Yang Zhang
23
237
0
30 Jul 2020
A Survey of Privacy Attacks in Machine Learning
A Survey of Privacy Attacks in Machine Learning
M. Rigaki
Sebastian Garcia
PILM
AAML
27
213
0
15 Jul 2020
Revisiting Membership Inference Under Realistic Assumptions
Revisiting Membership Inference Under Realistic Assumptions
Bargav Jayaraman
Lingxiao Wang
Katherine Knipmeyer
Quanquan Gu
David E. Evans
11
147
0
21 May 2020
A New Defense Against Adversarial Images: Turning a Weakness into a
  Strength
A New Defense Against Adversarial Images: Turning a Weakness into a Strength
Tao Yu
Shengyuan Hu
Chuan Guo
Wei-Lun Chao
Kilian Q. Weinberger
AAML
50
101
0
16 Oct 2019
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