ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2007.14321
  4. Cited By
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
ArXivPDFHTML

Papers citing "Label-Only Membership Inference Attacks"

50 / 115 papers shown
Title
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 Evans
Boris Köpf
Andrew Paverd
Anshuman Suri
Shruti Tople
Santiago Zanella Béguelin
47
35
0
21 Dec 2022
Fine-Tuning Is All You Need to Mitigate Backdoor Attacks
Fine-Tuning Is All You Need to Mitigate Backdoor Attacks
Zeyang Sha
Xinlei He
Pascal Berrang
Mathias Humbert
Yang Zhang
AAML
13
34
0
18 Dec 2022
Exploring the Limits of Differentially Private Deep Learning with
  Group-wise Clipping
Exploring the Limits of Differentially Private Deep Learning with Group-wise Clipping
Jiyan He
Xuechen Li
Da Yu
Huishuai Zhang
Janardhan Kulkarni
Y. Lee
A. Backurs
Nenghai Yu
Jiang Bian
30
46
0
03 Dec 2022
Membership Inference Attacks Against Semantic Segmentation Models
Membership Inference Attacks Against Semantic Segmentation Models
Tomás Chobola
Dmitrii Usynin
Georgios Kaissis
MIACV
32
6
0
02 Dec 2022
Purifier: Defending Data Inference Attacks via Transforming Confidence
  Scores
Purifier: Defending Data Inference Attacks via Transforming Confidence Scores
Ziqi Yang
Li-Juan Wang
D. Yang
Jie Wan
Ziming Zhao
E. Chang
Fan Zhang
Kui Ren
AAML
29
15
0
01 Dec 2022
Differentially Private Image Classification from Features
Differentially Private Image Classification from Features
Harsh Mehta
Walid Krichene
Abhradeep Thakurta
Alexey Kurakin
Ashok Cutkosky
58
7
0
24 Nov 2022
Private Multi-Winner Voting for Machine Learning
Private Multi-Winner Voting for Machine Learning
Adam Dziedzic
Christopher A. Choquette-Choo
Natalie Dullerud
Vinith Suriyakumar
Ali Shahin Shamsabadi
Muhammad Ahmad Kaleem
S. Jha
Nicolas Papernot
Xiao Wang
42
1
0
23 Nov 2022
On the Vulnerability of Data Points under Multiple Membership Inference
  Attacks and Target Models
On the Vulnerability of Data Points under Multiple Membership Inference Attacks and Target Models
Mauro Conti
Jiaxin Li
S. Picek
MIALM
32
2
0
28 Oct 2022
Membership Inference Attacks and Generalization: A Causal Perspective
Membership Inference Attacks and Generalization: A Causal Perspective
Teodora Baluta
Shiqi Shen
S. Hitarth
Shruti Tople
Prateek Saxena
OOD
MIACV
42
18
0
18 Sep 2022
Does CLIP Know My Face?
Does CLIP Know My Face?
Dominik Hintersdorf
Lukas Struppek
Manuel Brack
Felix Friedrich
P. Schramowski
Kristian Kersting
VLM
21
9
0
15 Sep 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
On the Privacy Risks of Cell-Based NAS Architectures
On the Privacy Risks of Cell-Based NAS Architectures
Haiping Huang
Zhikun Zhang
Yun Shen
Michael Backes
Qi Li
Yang Zhang
33
7
0
04 Sep 2022
Data Provenance via Differential Auditing
Data Provenance via Differential Auditing
Xin Mu
Ming Pang
Feida Zhu
19
1
0
04 Sep 2022
Membership Inference Attacks by Exploiting Loss Trajectory
Membership Inference Attacks by Exploiting Loss Trajectory
Yiyong Liu
Zhengyu Zhao
Michael Backes
Yang Zhang
27
98
0
31 Aug 2022
Data Isotopes for Data Provenance in DNNs
Data Isotopes for Data Provenance in DNNs
Emily Wenger
Xiuyu Li
Ben Y. Zhao
Vitaly Shmatikov
20
12
0
29 Aug 2022
SNAP: Efficient Extraction of Private Properties with Poisoning
SNAP: Efficient Extraction of Private Properties with Poisoning
Harsh Chaudhari
John Abascal
Alina Oprea
Matthew Jagielski
Florian Tramèr
Jonathan R. Ullman
MIACV
39
30
0
25 Aug 2022
Membership-Doctor: Comprehensive Assessment of Membership Inference
  Against Machine Learning Models
Membership-Doctor: Comprehensive Assessment of Membership Inference Against Machine Learning Models
Xinlei He
Zheng Li
Weilin Xu
Cory Cornelius
Yang Zhang
MIACV
38
24
0
22 Aug 2022
An Empirical Study on the Membership Inference Attack against Tabular
  Data Synthesis Models
An Empirical Study on the Membership Inference Attack against Tabular Data Synthesis Models
Jihyeon Hyeong
Jayoung Kim
Noseong Park
S. Jajodia
MIACV
30
13
0
17 Aug 2022
On the Evaluation of User Privacy in Deep Neural Networks using Timing
  Side Channel
On the Evaluation of User Privacy in Deep Neural Networks using Timing Side Channel
Shubhi Shukla
Manaar Alam
Sarani Bhattacharya
Debdeep Mukhopadhyay
Pabitra Mitra
AAML
27
2
0
01 Aug 2022
Membership Inference Attacks via Adversarial Examples
Membership Inference Attacks via Adversarial Examples
Hamid Jalalzai
Elie Kadoche
Rémi Leluc
Vincent Plassier
AAML
FedML
MIACV
45
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
34
5
0
08 Jul 2022
Threat Assessment in Machine Learning based Systems
Threat Assessment in Machine Learning based Systems
L. Tidjon
Foutse Khomh
27
17
0
30 Jun 2022
Debiasing Learning for Membership Inference Attacks Against Recommender
  Systems
Debiasing Learning for Membership Inference Attacks Against Recommender Systems
Zihan Wang
Na Huang
Fei Sun
Pengjie Ren
Zhumin Chen
Hengliang Luo
Maarten de Rijke
Zhaochun Ren
AAML
41
14
0
24 Jun 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
35
102
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
26
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 Zhao
Lingjuan Lyu
DD
26
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
32
18
0
27 May 2022
Membership Inference Attack Using Self Influence Functions
Membership Inference Attack Using Self Influence Functions
Gilad Cohen
Raja Giryes
TDI
32
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
57
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
29
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
44
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
16
62
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
21
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
35
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
32
9
0
02 Mar 2022
Bounding Membership Inference
Bounding Membership Inference
Anvith Thudi
Ilia Shumailov
Franziska Boenisch
Nicolas Papernot
33
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
24
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
23
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
42
22
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
24
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
29
646
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
32
12
0
04 Dec 2021
Enhanced Membership Inference Attacks against Machine Learning Models
Enhanced Membership Inference Attacks against Machine Learning Models
Jiayuan Ye
Aadyaa Maddi
S. K. Murakonda
Vincent Bindschaedler
Reza Shokri
MIALM
MIACV
27
233
0
18 Nov 2021
Property Inference Attacks Against GANs
Property Inference Attacks Against GANs
Junhao Zhou
Yufei Chen
Chao Shen
Yang Zhang
AAML
MIACV
30
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
22
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
40
16
0
20 Sep 2021
Membership Inference Attacks Against Recommender Systems
Membership Inference Attacks Against Recommender Systems
Minxing Zhang
Zhaochun Ren
Zihan Wang
Pengjie Ren
Zhumin Chen
Pengfei Hu
Yang Zhang
MIACV
AAML
26
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
44
3
0
08 Sep 2021
EncoderMI: Membership Inference against Pre-trained Encoders in
  Contrastive Learning
EncoderMI: Membership Inference against Pre-trained Encoders in Contrastive Learning
Hongbin Liu
Jinyuan Jia
Wenjie Qu
Neil Zhenqiang Gong
6
94
0
25 Aug 2021
Previous
123
Next