Adversarial Machine Learning
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Published By Cambridge University Press

9781107043466, 9781107338548

Latest Documents Most Cited Documents Contributed Authors Related Sources Related Keywords

Adversarial Machine Learning Challenges

Adversarial Machine Learning ◽

10.1017/9781107338548.009 ◽

2019 ◽

pp. 241-252

Keyword(s):

Machine Learning ◽

Learning Challenges

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Background and Notation

Adversarial Machine Learning ◽

10.1017/9781107338548.002 ◽

2019 ◽

pp. 20-28

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Appendix B: Full Proofs for Hypersphere Attacks

Adversarial Machine Learning ◽

10.1017/9781107338548.011 ◽

2019 ◽

pp. 266-275

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A Framework for Secure Learning

Adversarial Machine Learning ◽

10.1017/9781107338548.003 ◽

2019 ◽

pp. 29-66

Keyword(s):

Secure Learning

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Appendix C: Analysis of SpamBayes

Adversarial Machine Learning ◽

10.1017/9781107338548.012 ◽

2019 ◽

pp. 276-284

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Appendix A: Background for Learning and Hyper-Geometry

Adversarial Machine Learning ◽

10.1017/9781107338548.010 ◽

2019 ◽

pp. 255-265

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Introduction

Adversarial Machine Learning ◽

10.1017/9781107338548.001 ◽

2019 ◽

pp. 3-19

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Appendix D: Full Proofs for Near-Optimal Evasion

Adversarial Machine Learning ◽

10.1017/9781107338548.013 ◽

2019 ◽

pp. 285-294

Keyword(s):

Optimal Evasion

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References

Adversarial Machine Learning ◽

10.1017/9781107338548.015 ◽

2019 ◽

pp. 307-321

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Near-Optimal Evasion of Classifiers

Adversarial Machine Learning ◽

10.1017/9781107338548.008 ◽

2019 ◽

pp. 199-238

Keyword(s):

Optimal Evasion

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