Evaluating data distribution and drift vulnerabilities of machine learning algorithms in secure and adversarial environments-Reference-Cited by-同舟云学术

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Evaluating data distribution and drift vulnerabilities of machine learning algorithms in secure and adversarial environments

Published:2014-05-22 Issue: Volume: Page:
ISSN:0277-786X
Container-title:SPIE Proceedings
language:
Short-container-title:

Author:

Nelson Kevin,Corbin George,Blowers Misty

Publisher

SPIE

Reference17 articles.

1. Host and Network based Anomaly Detectors for HTTP Attacks;Ariu,2010

2. Proceedings of the 2013 ACM workshop on Artificial intelligence and security

3. A Game Theoretical Framework for Adversarial Learning;Kantarcioglu,2008

4. Proceedings of the 2004 ACM SIGKDD international conference on Knowledge discovery and data mining - KDD '04

5. Learning from Imbalanced Data

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