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1806.01246
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ML-Leaks: Model and Data Independent Membership Inference Attacks and Defenses on Machine Learning Models
4 June 2018
A. Salem
Yang Zhang
Mathias Humbert
Pascal Berrang
Mario Fritz
Michael Backes
MIACV
MIALM
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Papers citing
"ML-Leaks: Model and Data Independent Membership Inference Attacks and Defenses on Machine Learning Models"
50 / 465 papers shown
Title
Subject Membership Inference Attacks in Federated Learning
Anshuman Suri
Pallika H. Kanani
Virendra J. Marathe
Daniel W. Peterson
30
25
0
07 Jun 2022
On the Privacy Properties of GAN-generated Samples
Zinan Lin
Vyas Sekar
Giulia Fanti
PICV
19
26
0
03 Jun 2022
Dataset Distillation using Neural Feature Regression
Yongchao Zhou
E. Nezhadarya
Jimmy Ba
DD
FedML
39
149
0
01 Jun 2022
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
Gilad Cohen
Raja Giryes
TDI
30
12
0
26 May 2022
BppAttack: Stealthy and Efficient Trojan Attacks against Deep Neural Networks via Image Quantization and Contrastive Adversarial Learning
Zhenting Wang
Juan Zhai
Shiqing Ma
AAML
126
97
0
26 May 2022
Additive Logistic Mechanism for Privacy-Preserving Self-Supervised Learning
Yunhao Yang
Parham Gohari
Ufuk Topcu
18
1
0
25 May 2022
Unintended memorisation of unique features in neural networks
J. Hartley
Sotirios A. Tsaftaris
30
1
0
20 May 2022
Collaborative Drug Discovery: Inference-level Data Protection Perspective
Balázs Pejó
Mina Remeli
Adam Arany
M. Galtier
G. Ács
25
3
0
13 May 2022
l-Leaks: Membership Inference Attacks with Logits
Shuhao Li
Yajie Wang
Yuan-zhang Li
Yu-an Tan
MIACV
MIALM
14
2
0
13 May 2022
Blockchain-based Secure Client Selection in Federated Learning
Truc D. T. Nguyen
Phuc Thai
Tre' R. Jeter
Thang N. Dinh
My T. Thai
17
12
0
11 May 2022
Secure & Private Federated Neuroimaging
Dimitris Stripelis
Umang Gupta
Hamza Saleem
Nikhil J. Dhinagar
Tanmay Ghai
...
Greg Ver Steeg
Srivatsan Ravi
Muhammad Naveed
Paul M. Thompson
J. Ambite
FedML
OOD
19
2
0
11 May 2022
Cracking White-box DNN Watermarks via Invariant Neuron Transforms
Yifan Yan
Xudong Pan
Yining Wang
Mi Zhang
Min Yang
AAML
19
14
0
30 Apr 2022
A Differentially Private Framework for Deep Learning with Convexified Loss Functions
Zhigang Lu
Hassan Jameel Asghar
M. Kâafar
Darren Webb
Peter Dickinson
57
15
0
03 Apr 2022
Perfectly Accurate Membership Inference by a Dishonest Central Server in Federated Learning
Georg Pichler
Marco Romanelli
L. Rey Vega
Pablo Piantanida
FedML
28
10
0
30 Mar 2022
Leveraging Adversarial Examples to Quantify Membership Information Leakage
Ganesh Del Grosso
Hamid Jalalzai
Georg Pichler
C. Palamidessi
Pablo Piantanida
MIACV
29
21
0
17 Mar 2022
One Parameter Defense -- Defending against Data Inference Attacks via Differential Privacy
Dayong Ye
Sheng Shen
Tianqing Zhu
B. Liu
Wanlei Zhou
MIACV
16
61
0
13 Mar 2022
Model Inversion Attack against Transfer Learning: Inverting a Model without Accessing It
Dayong Ye
Huiqiang Chen
Shuai Zhou
Tianqing Zhu
Wanlei Zhou
S. Ji
MIACV
20
6
0
13 Mar 2022
Label-only Model Inversion Attack: The Attack that Requires the Least Information
Dayong Ye
Tianqing Zhu
Shuai Zhou
B. Liu
Wanlei Zhou
22
4
0
13 Mar 2022
Membership Privacy Protection for Image Translation Models via Adversarial Knowledge Distillation
Saeed Ranjbar Alvar
Lanjun Wang
Jiangbo Pei
Yong Zhang
VLM
16
2
0
10 Mar 2022
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
Training privacy-preserving video analytics pipelines by suppressing features that reveal information about private attributes
C. Li
Andrea Cavallaro
PICV
14
0
0
05 Mar 2022
User-Level Membership Inference Attack against Metric Embedding Learning
Guoyao Li
Shahbaz Rezaei
Xin Liu
18
23
0
04 Mar 2022
MIAShield: Defending Membership Inference Attacks via Preemptive Exclusion of Members
Ismat Jarin
Birhanu Eshete
26
9
0
02 Mar 2022
Bounding Membership Inference
Anvith Thudi
Ilia Shumailov
Franziska Boenisch
Nicolas Papernot
27
18
0
24 Feb 2022
Poisoning Attacks and Defenses on Artificial Intelligence: A Survey
M. A. Ramírez
Song-Kyoo Kim
H. A. Hamadi
Ernesto Damiani
Young-Ji Byon
Tae-Yeon Kim
C. Cho
C. Yeun
AAML
17
37
0
21 Feb 2022
Measuring Unintended Memorisation of Unique Private Features in Neural Networks
J. Hartley
Sotirios A. Tsaftaris
19
7
0
16 Feb 2022
Defending against Reconstruction Attacks with Rényi Differential Privacy
Pierre Stock
I. Shilov
Ilya Mironov
Alexandre Sablayrolles
AAML
SILM
MIACV
12
39
0
15 Feb 2022
NeuroMixGDP: A Neural Collapse-Inspired Random Mixup for Private Data Release
Donghao Li
Yang Cao
Yuan Yao
35
2
0
14 Feb 2022
What Does it Mean for a Language Model to Preserve Privacy?
Hannah Brown
Katherine Lee
Fatemehsadat Mireshghallah
Reza Shokri
Florian Tramèr
PILM
29
232
0
11 Feb 2022
Privacy-preserving Generative Framework Against Membership Inference Attacks
Ruikang Yang
Jianfeng Ma
Yinbin Miao
Xindi Ma
19
5
0
11 Feb 2022
PPA: Preference Profiling Attack Against Federated Learning
Chunyi Zhou
Yansong Gao
Anmin Fu
Kai Chen
Zhiyang Dai
Zhi-Li Zhang
Minhui Xue
Yuqing Zhang
AAML
25
21
0
10 Feb 2022
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
Xiaoyong Yuan
Lan Zhang
AAML
16
44
0
07 Feb 2022
Redactor: A Data-centric and Individualized Defense Against Inference Attacks
Geon Heo
Steven Euijong Whang
AAML
17
2
0
07 Feb 2022
Dikaios: Privacy Auditing of Algorithmic Fairness via Attribute Inference Attacks
Jan Aalmoes
Vasisht Duddu
A. Boutet
21
10
0
04 Feb 2022
Parameters or Privacy: A Provable Tradeoff Between Overparameterization and Membership Inference
Jasper Tan
Blake Mason
Hamid Javadi
Richard G. Baraniuk
FedML
37
19
0
02 Feb 2022
Bounding Training Data Reconstruction in Private (Deep) Learning
Chuan Guo
Brian Karrer
Kamalika Chaudhuri
L. V. D. van der Maaten
115
53
0
28 Jan 2022
SSLGuard: A Watermarking Scheme for Self-supervised Learning Pre-trained Encoders
Tianshuo Cong
Xinlei He
Yang Zhang
18
52
0
27 Jan 2022
Federated Unlearning with Knowledge Distillation
Chen Wu
Sencun Zhu
P. Mitra
MU
10
107
0
24 Jan 2022
FedComm: Federated Learning as a Medium for Covert Communication
Dorjan Hitaj
Giulio Pagnotta
Briland Hitaj
Fernando Perez-Cruz
L. Mancini
FedML
32
10
0
21 Jan 2022
Can't Steal? Cont-Steal! Contrastive Stealing Attacks Against Image Encoders
Zeyang Sha
Xinlei He
Ning Yu
Michael Backes
Yang Zhang
25
34
0
19 Jan 2022
Zero-Shot Machine Unlearning
Vikram S Chundawat
Ayush K Tarun
Murari Mandal
Mohan S. Kankanhalli
MU
19
120
0
14 Jan 2022
Reconstructing Training Data with Informed Adversaries
Borja Balle
Giovanni Cherubin
Jamie Hayes
MIACV
AAML
43
158
0
13 Jan 2022
Security for Machine Learning-based Software Systems: a survey of threats, practices and challenges
Huaming Chen
Muhammad Ali Babar
AAML
34
21
0
12 Jan 2022
Gradient Leakage Attack Resilient Deep Learning
Wenqi Wei
Ling Liu
SILM
PILM
AAML
27
46
0
25 Dec 2021
Robust and Privacy-Preserving Collaborative Learning: A Comprehensive Survey
Shangwei Guo
Xu Zhang
Feiyu Yang
Tianwei Zhang
Yan Gan
Tao Xiang
Yang Liu
FedML
31
9
0
19 Dec 2021
Correlation inference attacks against machine learning models
Ana-Maria Creţu
Florent Guépin
Yves-Alexandre de Montjoye
MIACV
AAML
38
5
0
16 Dec 2021
Model Stealing Attacks Against Inductive Graph Neural Networks
Yun Shen
Xinlei He
Yufei Han
Yang Zhang
19
60
0
15 Dec 2021
SoK: Anti-Facial Recognition Technology
Emily Wenger
Shawn Shan
Haitao Zheng
Ben Y. Zhao
PICV
32
13
0
08 Dec 2021
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