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Security of Distributed Machine Learning: A Game-Theoretic Approach to
  Design Secure DSVM

Security of Distributed Machine Learning: A Game-Theoretic Approach to Design Secure DSVM

8 March 2020
Rui Zhang
Quanyan Zhu
    AAML
ArXivPDFHTML

Papers citing "Security of Distributed Machine Learning: A Game-Theoretic Approach to Design Secure DSVM"

6 / 6 papers shown
Title
FlipIn: A Game-Theoretic Cyber Insurance Framework for
  Incentive-Compatible Cyber Risk Management of Internet of Things
FlipIn: A Game-Theoretic Cyber Insurance Framework for Incentive-Compatible Cyber Risk Management of Internet of Things
Rui Zhang
Quanyan Zhu
AAML
27
13
0
22 Nov 2019
Consensus-based Distributed Discrete Optimal Transport for Decentralized
  Resource Matching
Consensus-based Distributed Discrete Optimal Transport for Decentralized Resource Matching
Rui Zhang
Quanyan Zhu
29
13
0
08 Apr 2019
A Game-Theoretic Approach to Design Secure and Resilient Distributed
  Support Vector Machines
A Game-Theoretic Approach to Design Secure and Resilient Distributed Support Vector Machines
Rui Zhang
Quanyan Zhu
AAML
30
35
0
07 Feb 2018
Evasion Attacks against Machine Learning at Test Time
Evasion Attacks against Machine Learning at Test Time
Battista Biggio
Igino Corona
Davide Maiorca
B. Nelson
Nedim Srndic
Pavel Laskov
Giorgio Giacinto
Fabio Roli
AAML
155
2,147
0
21 Aug 2017
Optimal Secure Multi-Layer IoT Network Design
Optimal Secure Multi-Layer IoT Network Design
Juntao Chen
Corinne Touati
Quanyan Zhu
34
39
0
21 Jul 2017
Poisoning Attacks against Support Vector Machines
Poisoning Attacks against Support Vector Machines
Battista Biggio
B. Nelson
Pavel Laskov
AAML
109
1,587
0
27 Jun 2012
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