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On the Protection of Private Information in Machine Learning Systems:
  Two Recent Approaches

On the Protection of Private Information in Machine Learning Systems: Two Recent Approaches

26 August 2017
Martín Abadi
Ulfar Erlingsson
Ian Goodfellow
H. B. McMahan
Ilya Mironov
Nicolas Papernot
Kunal Talwar
Li Zhang
ArXiv (abs)PDFHTML

Papers citing "On the Protection of Private Information in Machine Learning Systems: Two Recent Approaches"

18 / 18 papers shown
Inference Attacks: A Taxonomy, Survey, and Promising Directions
Inference Attacks: A Taxonomy, Survey, and Promising Directions
Feng Wu
Lei Cui
Shaowen Yao
Shui Yu
369
3
0
04 Jun 2024
Lifelong DP: Consistently Bounded Differential Privacy in Lifelong
  Machine Learning
Lifelong DP: Consistently Bounded Differential Privacy in Lifelong Machine Learning
Phung Lai
Han Hu
Nhathai Phan
Ruoming Jin
My T. Thai
An M. Chen
202
2
0
26 Jul 2022
Trusted AI in Multi-agent Systems: An Overview of Privacy and Security
  for Distributed Learning
Trusted AI in Multi-agent Systems: An Overview of Privacy and Security for Distributed LearningProceedings of the IEEE (Proc. IEEE), 2022
Chuan Ma
Jun Li
Kang Wei
Bo Liu
Ming Ding
Long Yuan
Zhu Han
H. Vincent Poor
329
69
0
18 Feb 2022
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
PILMMIACV
261
85
0
04 Jul 2021
When Machine Learning Meets Privacy: A Survey and Outlook
When Machine Learning Meets Privacy: A Survey and OutlookACM Computing Surveys (ACM CSUR), 2020
B. Liu
Ming Ding
Sina shaham
W. Rahayu
F. Farokhi
Zihuai Lin
273
328
0
24 Nov 2020
An Overview of Privacy in Machine Learning
An Overview of Privacy in Machine Learning
Emiliano De Cristofaro
SILM
163
98
0
18 May 2020
GAMIN: An Adversarial Approach to Black-Box Model Inversion
GAMIN: An Adversarial Approach to Black-Box Model Inversion
Ulrich Aïvodji
Sébastien Gambs
Timon Ther
MLAU
172
46
0
26 Sep 2019
Combining Prediction Intervals on Multi-Source Non-Disclosed Regression
  Datasets
Combining Prediction Intervals on Multi-Source Non-Disclosed Regression DatasetsInternational Symposium on Conformal and Probabilistic Prediction with Applications (ISCPPA), 2019
O. Spjuth
Robin Carrión Brännström
L. Carlsson
N. Gauraha
94
5
0
15 Aug 2019
A Federated Learning Approach for Mobile Packet Classification
A Federated Learning Approach for Mobile Packet Classification
Evita Bakopoulou
Bálint Tillman
A. Markopoulou
146
31
0
30 Jul 2019
Faster CryptoNets: Leveraging Sparsity for Real-World Encrypted
  Inference
Faster CryptoNets: Leveraging Sparsity for Real-World Encrypted Inference
Edward Chou
Josh Beal
Daniel Levy
Serena Yeung
Albert Haque
Li Fei-Fei
208
221
0
25 Nov 2018
A Fully Private Pipeline for Deep Learning on Electronic Health Records
A Fully Private Pipeline for Deep Learning on Electronic Health Records
Edward Chou
Thao Nguyen
Josh Beal
Albert Haque
Li Fei-Fei
SyDaFedML
97
6
0
25 Nov 2018
Déjà Vu: an empirical evaluation of the memorization properties of
  ConvNets
Déjà Vu: an empirical evaluation of the memorization properties of ConvNets
Alexandre Sablayrolles
Matthijs Douze
Cordelia Schmid
Edouard Grave
131
18
0
17 Sep 2018
Algorithms that Remember: Model Inversion Attacks and Data Protection
  Law
Algorithms that Remember: Model Inversion Attacks and Data Protection Law
Michael Veale
Reuben Binns
L. Edwards
135
217
0
12 Jul 2018
The Right Complexity Measure in Locally Private Estimation: It is not
  the Fisher Information
The Right Complexity Measure in Locally Private Estimation: It is not the Fisher Information
John C. Duchi
Feng Ruan
250
53
0
14 Jun 2018
Siamese Generative Adversarial Privatizer for Biometric Data
Siamese Generative Adversarial Privatizer for Biometric DataAsian Conference on Computer Vision (ACCV), 2018
Witold Oleszkiewicz
Peter Kairouz
Karol J. Piczak
Ram Rajagopal
Tomasz Trzciñski
AAML
304
16
0
23 Apr 2018
Scalable Private Learning with PATE
Scalable Private Learning with PATE
Nicolas Papernot
Shuang Song
Ilya Mironov
A. Raghunathan
Kunal Talwar
Ulfar Erlingsson
404
671
0
24 Feb 2018
LatentPoison - Adversarial Attacks On The Latent Space
LatentPoison - Adversarial Attacks On The Latent Space
Antonia Creswell
Anil A. Bharath
B. Sengupta
AAMLOOD
130
22
0
08 Nov 2017
Prochlo: Strong Privacy for Analytics in the Crowd
Prochlo: Strong Privacy for Analytics in the Crowd
Andrea Bittau
Ulfar Erlingsson
Petros Maniatis
Ilya Mironov
A. Raghunathan
David Lie
Mitch Rudominer
Ushasree Kode
J. Tinnés
B. Seefeld
281
288
0
02 Oct 2017
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