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Privacy-preserving Machine Learning through Data Obfuscation

Privacy-preserving Machine Learning through Data Obfuscation

5 July 2018
Tianwei Zhang
Zecheng He
R. Lee
ArXivPDFHTML

Papers citing "Privacy-preserving Machine Learning through Data Obfuscation"

13 / 13 papers shown
Title
All Rivers Run to the Sea: Private Learning with Asymmetric Flows
All Rivers Run to the Sea: Private Learning with Asymmetric Flows
Yue Niu
Ramy E. Ali
Saurav Prakash
Salman Avestimehr
FedML
33
2
0
05 Dec 2023
Threats, Vulnerabilities, and Controls of Machine Learning Based
  Systems: A Survey and Taxonomy
Threats, Vulnerabilities, and Controls of Machine Learning Based Systems: A Survey and Taxonomy
Yusuke Kawamoto
Kazumasa Miyake
K. Konishi
Y. Oiwa
24
4
0
18 Jan 2023
Additive Logistic Mechanism for Privacy-Preserving Self-Supervised
  Learning
Additive Logistic Mechanism for Privacy-Preserving Self-Supervised Learning
Yunhao Yang
Parham Gohari
Ufuk Topcu
31
1
0
25 May 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
PILM
MIACV
23
71
0
04 Jul 2021
Privacy and Trust Redefined in Federated Machine Learning
Privacy and Trust Redefined in Federated Machine Learning
Pavlos Papadopoulos
Will Abramson
A. Hall
Nikolaos Pitropakis
William J. Buchanan
33
42
0
29 Mar 2021
Membership Inference Attacks on Machine Learning: A Survey
Membership Inference Attacks on Machine Learning: A Survey
Hongsheng Hu
Z. Salcic
Lichao Sun
Gillian Dobbie
Philip S. Yu
Xuyun Zhang
MIACV
35
412
0
14 Mar 2021
Anonymizing Machine Learning Models
Anonymizing Machine Learning Models
Abigail Goldsteen
Gilad Ezov
Ron Shmelkin
Micha Moffie
Ariel Farkash
MIACV
11
5
0
26 Jul 2020
Reducing Risk of Model Inversion Using Privacy-Guided Training
Reducing Risk of Model Inversion Using Privacy-Guided Training
Abigail Goldsteen
Gilad Ezov
Ariel Farkash
19
4
0
29 Jun 2020
Segmentations-Leak: Membership Inference Attacks and Defenses in
  Semantic Image Segmentation
Segmentations-Leak: Membership Inference Attacks and Defenses in Semantic Image Segmentation
Yang He
Shadi Rahimian
Bernt Schiele
Mario Fritz
MIACV
21
49
0
20 Dec 2019
An Adaptive and Fast Convergent Approach to Differentially Private Deep
  Learning
An Adaptive and Fast Convergent Approach to Differentially Private Deep Learning
Zhiying Xu
Shuyu Shi
A. Liu
Jun Zhao
Lin Chen
FedML
26
36
0
19 Dec 2019
The Value of Collaboration in Convex Machine Learning with Differential
  Privacy
The Value of Collaboration in Convex Machine Learning with Differential Privacy
Nan Wu
Farhad Farokhi
David B. Smith
M. Kâafar
FedML
12
96
0
24 Jun 2019
Power-Grid Controller Anomaly Detection with Enhanced Temporal Deep
  Learning
Power-Grid Controller Anomaly Detection with Enhanced Temporal Deep Learning
Zecheng He
Aswin Raghavan
Guangyuan Hu
S. Chai
Ruby B. Lee
26
4
0
18 Jun 2018
Effective Approaches to Attention-based Neural Machine Translation
Effective Approaches to Attention-based Neural Machine Translation
Thang Luong
Hieu H. Pham
Christopher D. Manning
218
7,929
0
17 Aug 2015
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