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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 / 519 papers shown
Reconstructing Training Data from Trained Neural Networks
Neural Information Processing Systems (NeurIPS), 2022
Niv Haim
Gal Vardi
Gilad Yehudai
Ohad Shamir
Michal Irani
327
166
0
15 Jun 2022
NeuGuard: Lightweight Neuron-Guided Defense against Membership Inference Attacks
Asia-Pacific Computer Systems Architecture Conference (ACSA), 2022
Nuo Xu
Binghui Wang
Ran Ran
Wujie Wen
Parv Venkitasubramaniam
AAML
233
6
0
11 Jun 2022
Membership Inference via Backdooring
International Joint Conference on Artificial Intelligence (IJCAI), 2022
Hongsheng Hu
Z. Salcic
Gillian Dobbie
Jinjun Chen
Lichao Sun
Xuyun Zhang
MIACV
158
39
0
10 Jun 2022
A Critical Review on the Use (and Misuse) of Differential Privacy in Machine Learning
ACM Computing Surveys (ACM CSUR), 2022
Alberto Blanco-Justicia
David Sánchez
J. Domingo-Ferrer
K. Muralidhar
203
87
0
09 Jun 2022
Privacy Leakage in Text Classification: A Data Extraction Approach
Adel M. Elmahdy
Huseyin A. Inan
Robert Sim
134
15
0
09 Jun 2022
Subject Membership Inference Attacks in Federated Learning
Anshuman Suri
Pallika H. Kanani
Virendra J. Marathe
Daniel W. Peterson
344
33
0
07 Jun 2022
On the Privacy Properties of GAN-generated Samples
International Conference on Artificial Intelligence and Statistics (AISTATS), 2022
Zinan Lin
Vyas Sekar
Giulia Fanti
PICV
203
35
0
03 Jun 2022
Dataset Distillation using Neural Feature Regression
Neural Information Processing Systems (NeurIPS), 2022
Yongchao Zhou
E. Nezhadarya
Jimmy Ba
DD
FedML
374
199
0
01 Jun 2022
A Blessing of Dimensionality in Membership Inference through Regularization
International Conference on Artificial Intelligence and Statistics (AISTATS), 2022
Jasper Tan
Daniel LeJeune
Blake Mason
Hamid Javadi
Richard G. Baraniuk
181
21
0
27 May 2022
Membership Inference Attack Using Self Influence Functions
IEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2022
Gilad Cohen
Raja Giryes
TDI
180
19
0
26 May 2022
BppAttack: Stealthy and Efficient Trojan Attacks against Deep Neural Networks via Image Quantization and Contrastive Adversarial Learning
Computer Vision and Pattern Recognition (CVPR), 2022
Zhenting Wang
Juan Zhai
Shiqing Ma
AAML
278
139
0
26 May 2022
Additive Logistic Mechanism for Privacy-Preserving Self-Supervised Learning
Yunhao Yang
Parham Gohari
Ufuk Topcu
154
1
0
25 May 2022
Unintended memorisation of unique features in neural networks
J. Hartley
Sotirios A. Tsaftaris
206
1
0
20 May 2022
Collaborative Drug Discovery: Inference-level Data Protection Perspective
Transactions on Data Privacy (TDP), 2022
Balázs Pejó
Mina Remeli
Adam Arany
M. Galtier
G. Ács
197
3
0
13 May 2022
l-Leaks: Membership Inference Attacks with Logits
Shuhao Li
Yajie Wang
Yuan-zhang Li
Yu-an Tan
MIACV
MIALM
295
6
0
13 May 2022
Blockchain-based Secure Client Selection in Federated Learning
International Conference on Blockchain (ICB), 2022
Truc D. T. Nguyen
Phuc Thai
Tre' R. Jeter
Thang N. Dinh
My T. Thai
97
18
0
11 May 2022
Secure & Private Federated Neuroimaging
Dimitris Stripelis
Umang Gupta
Hamza Saleem
Nikhil J. Dhinagar
Tanmay Ghai
...
Greg Ver Steeg
Yu Yang
Muhammad Naveed
Paul M. Thompson
J. Ambite
FedML
OOD
174
3
0
11 May 2022
Cracking White-box DNN Watermarks via Invariant Neuron Transforms
Knowledge Discovery and Data Mining (KDD), 2022
Yifan Yan
Xudong Pan
Yining Wang
Mi Zhang
Min Yang
AAML
148
20
0
30 Apr 2022
A Differentially Private Framework for Deep Learning with Convexified Loss Functions
IEEE Transactions on Information Forensics and Security (IEEE TIFS), 2022
Zhigang Lu
Hassan Jameel Asghar
M. Kâafar
Darren Webb
Peter Dickinson
229
18
0
03 Apr 2022
Perfectly Accurate Membership Inference by a Dishonest Central Server in Federated Learning
IEEE Transactions on Dependable and Secure Computing (TDSC), 2022
Georg Pichler
Marco Romanelli
L. Rey Vega
Pablo Piantanida
FedML
138
13
0
30 Mar 2022
Leveraging Adversarial Examples to Quantify Membership Information Leakage
Computer Vision and Pattern Recognition (CVPR), 2022
Ganesh Del Grosso
Hamid Jalalzai
Georg Pichler
C. Palamidessi
Pablo Piantanida
MIACV
183
25
0
17 Mar 2022
One Parameter Defense -- Defending against Data Inference Attacks via Differential Privacy
IEEE Transactions on Information Forensics and Security (IEEE TIFS), 2022
Dayong Ye
Sheng Shen
Tianqing Zhu
B. Liu
Wanlei Zhou
MIACV
117
83
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
190
8
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
151
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
144
3
0
10 Mar 2022
Quantifying Privacy Risks of Masked Language Models Using Membership Inference Attacks
Conference on Empirical Methods in Natural Language Processing (EMNLP), 2022
Fatemehsadat Mireshghallah
Kartik Goyal
Archit Uniyal
Taylor Berg-Kirkpatrick
Reza Shokri
MIALM
477
211
0
08 Mar 2022
Training privacy-preserving video analytics pipelines by suppressing features that reveal information about private attributes
IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2022
C. Li
Andrea Cavallaro
PICV
183
0
0
05 Mar 2022
User-Level Membership Inference Attack against Metric Embedding Learning
Guoyao Li
Shahbaz Rezaei
Xin Liu
236
33
0
04 Mar 2022
MIAShield: Defending Membership Inference Attacks via Preemptive Exclusion of Members
Proceedings on Privacy Enhancing Technologies (PoPETs), 2022
Ismat Jarin
Birhanu Eshete
187
11
0
02 Mar 2022
Bounding Membership Inference
Anvith Thudi
Ilia Shumailov
Franziska Boenisch
Nicolas Papernot
383
20
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
311
44
0
21 Feb 2022
Measuring Unintended Memorisation of Unique Private Features in Neural Networks
J. Hartley
Sotirios A. Tsaftaris
220
9
0
16 Feb 2022
Defending against Reconstruction Attacks with Rényi Differential Privacy
Pierre Stock
I. Shilov
Ilya Mironov
Alexandre Sablayrolles
AAML
SILM
MIACV
135
44
0
15 Feb 2022
NeuroMixGDP: A Neural Collapse-Inspired Random Mixup for Private Data Release
Donghao Li
Yang Cao
Xingtai Lv
278
2
0
14 Feb 2022
What Does it Mean for a Language Model to Preserve Privacy?
Conference on Fairness, Accountability and Transparency (FAccT), 2022
Hannah Brown
Katherine Lee
Fatemehsadat Mireshghallah
Reza Shokri
Florian Tramèr
PILM
350
297
0
11 Feb 2022
Privacy-preserving Generative Framework Against Membership Inference Attacks
Ruikang Yang
Jianfeng Ma
Yinbin Miao
Xindi Ma
131
6
0
11 Feb 2022
PPA: Preference Profiling Attack Against Federated Learning
Network and Distributed System Security Symposium (NDSS), 2022
Chunyi Zhou
Yansong Gao
Anmin Fu
Kai Chen
Zhiyang Dai
Zhi-Li Zhang
Minhui Xue
Yuqing Zhang
AAML
170
29
0
10 Feb 2022
Deletion Inference, Reconstruction, and Compliance in Machine (Un)Learning
Proceedings on Privacy Enhancing Technologies (PoPETs), 2022
Ji Gao
Sanjam Garg
Mohammad Mahmoody
Prashant Nalini Vasudevan
MIACV
AAML
193
27
0
07 Feb 2022
Membership Inference Attacks and Defenses in Neural Network Pruning
USENIX Security Symposium (USENIX Security), 2022
Xiaoyong Yuan
Lan Zhang
AAML
213
55
0
07 Feb 2022
Redactor: A Data-centric and Individualized Defense Against Inference Attacks
AAAI Conference on Artificial Intelligence (AAAI), 2022
Geon Heo
Steven Euijong Whang
AAML
192
3
0
07 Feb 2022
Dikaios: Privacy Auditing of Algorithmic Fairness via Attribute Inference Attacks
Jan Aalmoes
Vasisht Duddu
A. Boutet
151
10
0
04 Feb 2022
Parameters or Privacy: A Provable Tradeoff Between Overparameterization and Membership Inference
Neural Information Processing Systems (NeurIPS), 2022
Jasper Tan
Blake Mason
Hamid Javadi
Richard G. Baraniuk
FedML
267
20
0
02 Feb 2022
Bounding Training Data Reconstruction in Private (Deep) Learning
International Conference on Machine Learning (ICML), 2022
Chuan Guo
Brian Karrer
Kamalika Chaudhuri
Laurens van der Maaten
400
65
0
28 Jan 2022
SSLGuard: A Watermarking Scheme for Self-supervised Learning Pre-trained Encoders
Conference on Computer and Communications Security (CCS), 2022
Tianshuo Cong
Xinlei He
Yang Zhang
370
66
0
27 Jan 2022
Federated Unlearning with Knowledge Distillation
Chen Wu
Sencun Zhu
P. Mitra
MU
168
144
0
24 Jan 2022
FedComm: Federated Learning as a Medium for Covert Communication
IEEE Transactions on Dependable and Secure Computing (TDSC), 2022
Dorjan Hitaj
Giulio Pagnotta
Briland Hitaj
Fernando Perez-Cruz
L. Mancini
FedML
300
19
0
21 Jan 2022
Can't Steal? Cont-Steal! Contrastive Stealing Attacks Against Image Encoders
Computer Vision and Pattern Recognition (CVPR), 2022
Zeyang Sha
Xinlei He
Ning Yu
Michael Backes
Yang Zhang
355
46
0
19 Jan 2022
Zero-Shot Machine Unlearning
IEEE Transactions on Information Forensics and Security (IEEE TIFS), 2022
Vikram S Chundawat
Ayush K Tarun
Murari Mandal
Mohan S. Kankanhalli
MU
333
173
0
14 Jan 2022
Reconstructing Training Data with Informed Adversaries
IEEE Symposium on Security and Privacy (IEEE S&P), 2022
Borja Balle
Giovanni Cherubin
Jamie Hayes
MIACV
AAML
356
202
0
13 Jan 2022
Security for Machine Learning-based Software Systems: a survey of threats, practices and challenges
ACM Computing Surveys (ACM CSUR), 2022
Huaming Chen
Muhammad Ali Babar
AAML
312
34
0
12 Jan 2022
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