Adversarial Knowledge Discovery

Authors:
David B. Skillicorn
Affiliations:
Queen's University Kingston, Canada
Venue:
IEEE Intelligent Systems
Year:
2009

Citing 0
Cited 3

Moving targets: when data classes depend on subjective judgement, or they are crafted by an adversary to mislead pattern analysis algorithms - the cases of content based image retrieval and adversarial classification

ICDM'10 Proceedings of the 10th industrial conference on Advances in data mining: applications and theoretical aspects
Is data clustering in adversarial settings secure?

Proceedings of the 2013 ACM workshop on Artificial intelligence and security
Neural network Trojan

Journal of Computer Security

Quantified Score

Hi-index	0.00

Visualization

Abstract

In adversarial settings, knowledge discovery must be dynamic, adapting to both the changing face of normality and the rapidly changing properties of adversaries.