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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
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183
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Robust and Privacy-Preserving Collaborative Learning: A Comprehensive Survey
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Xu Zhang
Feiyu Yang
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237
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Correlation inference attacks against machine learning models
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216
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Membership Inference Attacks From First Principles
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Steve Chien
Milad Nasr
Shuang Song
Seth Neel
Florian Tramèr
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SHAPr: An Efficient and Versatile Membership Privacy Risk Metric for Machine Learning
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194
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Yao Huang
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76
8
0
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Enhanced Membership Inference Attacks against Machine Learning Models
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Aadyaa Maddi
S. K. Murakonda
Vincent Bindschaedler
Reza Shokri
MIALM
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600
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18 Nov 2021
To Trust or Not To Trust Prediction Scores for Membership Inference Attacks
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Lukas Struppek
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160
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0
17 Nov 2021
On the Importance of Difficulty Calibration in Membership Inference Attacks
International Conference on Learning Representations (ICLR), 2021
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Chuan Guo
Graham Cormode
Alex Sablayrolles
295
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0
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Property Inference Attacks Against GANs
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Yufei Chen
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Yang Zhang
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249
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0
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Machine Learning Models Disclosure from Trusted Research Environments (TRE), Challenges and Opportunities
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Simon Rogers
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227
6
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Lightweight machine unlearning in neural network
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Yiwen Wang
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129
9
0
10 Nov 2021
Membership Inference Attacks Against Self-supervised Speech Models
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Wei-Cheng Tseng
Wei-Tsung Kao
Hung-yi Lee
345
18
0
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Michael Backes
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264
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Federated Learning Attacks Revisited: A Critical Discussion of Gaps, Assumptions, and Evaluation Setups
Italian National Conference on Sensors (INS), 2021
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Ephraim Zimmer
Sandeep Subedi
Jens Keim
Tim Grube
Shankar Karuppayah
Alejandro Sánchez Guinea
Max Mühlhäuser
189
17
0
05 Nov 2021
Optimizing Secure Decision Tree Inference Outsourcing
IEEE Transactions on Dependable and Secure Computing (IEEE TDSC), 2021
Yifeng Zheng
Cong Wang
Ruochen Wang
Huayi Duan
Surya Nepal
170
10
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31 Oct 2021
10 Security and Privacy Problems in Large Foundation Models
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Hongbin Liu
Neil Zhenqiang Gong
355
11
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Adapting Membership Inference Attacks to GNN for Graph Classification: Approaches and Implications
Bang Wu
Xiangwen Yang
Shirui Pan
Lizhen Qu
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194
85
0
17 Oct 2021
Mitigating Membership Inference Attacks by Self-Distillation Through a Novel Ensemble Architecture
Xinyu Tang
Saeed Mahloujifar
Liwei Song
Virat Shejwalkar
Milad Nasr
Amir Houmansadr
Prateek Mittal
166
105
0
15 Oct 2021
Generalization Techniques Empirically Outperform Differential Privacy against Membership Inference
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Simon Oya
Florian Kerschbaum
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188
9
0
11 Oct 2021
The Connection between Out-of-Distribution Generalization and Privacy of ML Models
Divyat Mahajan
Shruti Tople
Amit Sharma
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250
7
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On the Privacy Risks of Deploying Recurrent Neural Networks in Machine Learning Models
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Parham Gohari
Ufuk Topcu
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268
3
0
06 Oct 2021
MixNN: Protection of Federated Learning Against Inference Attacks by Mixing Neural Network Layers
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A. Boutet
Thomas LeBrun
Jan Aalmoes
Adrien Baud
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254
18
0
26 Sep 2021
SoK: Machine Learning Governance
Varun Chandrasekaran
Hengrui Jia
Anvith Thudi
Adelin Travers
Mohammad Yaghini
Nicolas Papernot
271
20
0
20 Sep 2021
Membership Inference Attacks Against Recommender Systems
Minxing Zhang
Zhaochun Ren
Zihan Wang
Sudipta Singha Roy
Zhumin Chen
Pengfei Hu
Yang Zhang
MIACV
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154
115
0
16 Sep 2021
Membership Inference Attacks Against Temporally Correlated Data in Deep Reinforcement Learning
IEEE Access (IEEE Access), 2021
Maziar Gomrokchi
Susan Amin
Hossein Aboutalebi
Alexander Wong
Doina Precup
MIACV
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252
5
0
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EMA: Auditing Data Removal from Trained Models
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Yangsibo Huang
Xiaoxiao Li
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114
15
0
08 Sep 2021
Machine Unlearning of Features and Labels
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Alexander Warnecke
Lukas Pirch
Christian Wressnegger
Konrad Rieck
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524
267
0
26 Aug 2021
EncoderMI: Membership Inference against Pre-trained Encoders in Contrastive Learning
Conference on Computer and Communications Security (CCS), 2021
Hongbin Liu
Jinyuan Jia
Wenjie Qu
Neil Zhenqiang Gong
189
111
0
25 Aug 2021
Membership Inference Attacks on Lottery Ticket Networks
Aadesh Bagmar
Shishira R. Maiya
Shruti Bidwalka
Amol Deshpande
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154
5
0
07 Aug 2021
Who's Afraid of Thomas Bayes?
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159
0
0
30 Jul 2021
TableGAN-MCA: Evaluating Membership Collisions of GAN-Synthesized Tabular Data Releasing
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Aoting Hu
Renjie Xie
Zhigang Lu
A. Hu
Minhui Xue
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213
18
0
28 Jul 2021
Adversarial Attacks with Time-Scale Representations
Alberto Santamaria-Pang
Jia-dong Qiu
Aritra Chowdhury
James R. Kubricht
Peter Tu
Iyer Naresh
Nurali Virani
AAML
MLAU
132
0
0
26 Jul 2021
Membership Inference Attack and Defense for Wireless Signal Classifiers with Deep Learning
IEEE Transactions on Mobile Computing (IEEE TMC), 2021
Yi Shi
Y. Sagduyu
130
23
0
22 Jul 2021
MEGEX: Data-Free Model Extraction Attack against Gradient-Based Explainable AI
T. Miura
Satoshi Hasegawa
Toshiki Shibahara
SILM
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202
53
0
19 Jul 2021
An Efficient DP-SGD Mechanism for Large Scale NLP Models
IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2021
Christophe Dupuy
Radhika Arava
Rahul Gupta
Anna Rumshisky
SyDa
271
48
0
14 Jul 2021
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
266
85
0
04 Jul 2021
Membership Inference on Word Embedding and Beyond
Saeed Mahloujifar
Huseyin A. Inan
Melissa Chase
Esha Ghosh
Marcello Hasegawa
MIACV
SILM
210
53
0
21 Jun 2021
Honest-but-Curious Nets: Sensitive Attributes of Private Inputs Can Be Secretly Coded into the Classifiers' Outputs
Conference on Computer and Communications Security (CCS), 2021
Mohammad Malekzadeh
Anastasia Borovykh
Deniz Gündüz
MIACV
222
44
0
25 May 2021
Privacy Inference Attacks and Defenses in Cloud-based Deep Neural Network: A Survey
Xiaoyu Zhang
Chao Chen
Yi Xie
Xiaofeng Chen
Jun Zhang
Yang Xiang
FedML
115
8
0
13 May 2021
Accuracy-Privacy Trade-off in Deep Ensemble: A Membership Inference Perspective
IEEE Symposium on Security and Privacy (IEEE S&P), 2021
Shahbaz Rezaei
Zubair Shafiq
Xin Liu
FedML
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262
19
0
12 May 2021
Bounding Information Leakage in Machine Learning
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Georg Pichler
C. Palamidessi
Pablo Piantanida
MIACV
FedML
203
15
0
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Membership Inference Attacks on Deep Regression Models for Neuroimaging
International Conference on Medical Imaging with Deep Learning (MIDL), 2021
Umang Gupta
Dmitris Stripelis
Pradeep Lam
Paul M. Thompson
J. Ambite
Greg Ver Steeg
MIACV
FedML
205
46
0
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A Review of Confidentiality Threats Against Embedded Neural Network Models
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Raphael Joud
Pierre-Alain Moëllic
Rémi Bernhard
J. Rigaud
173
6
0
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On a Utilitarian Approach to Privacy Preserving Text Generation
Zekun Xu
Abhinav Aggarwal
Oluwaseyi Feyisetan
Nathanael Teissier
174
28
0
23 Apr 2021
Decentralized Federated Averaging
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2021
Tao Sun
Dongsheng Li
Bao Wang
FedML
259
300
0
23 Apr 2021
Membership Inference Attacks on Knowledge Graphs
Yu Wang
Lifu Huang
Philip S. Yu
Lichao Sun
MIACV
233
18
0
16 Apr 2021
Does BERT Pretrained on Clinical Notes Reveal Sensitive Data?
North American Chapter of the Association for Computational Linguistics (NAACL), 2021
Eric P. Lehman
Sarthak Jain
Karl Pichotta
Yoav Goldberg
Byron C. Wallace
OOD
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239
144
0
15 Apr 2021
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