Adversarial Knowledge Discovery

38 citations recorded by the source corpus.

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

Security Evaluation of Pattern Classifiers under Attack (2014, neutral): “F”
Is data clustering in adversarial settings secure? (2013, background): “[27] D. B. Skillicorn.”
Multiple classifier systems for robust classifier design in adversarial environments (2010, background): “The performance of intelligent data analysis systems [47], and in particular pattern recognition systems, may thus be undermined when they operate in adversarial environments.”
Poisoning Complete-Linkage Hierarchical Clustering (2014, background): “The pioneering work in [13, 14] has focused the attention on the problem of devising specific attacks to subvert the clustering process.”
Neural network Trojan (2013, unknown): “The ﬁeld of data mining which focuses on detecting such evasive entities is known as adversarial knowledge discovery [44].”
Identifying Security Evaluation of PatternClassifiers Under attack (2015, background): “Adversarial scenarios can also occur in intelligent dataM analysis [7] and information retrieval [8]; e.”
Unsupervised Learning Trojan (2014, background): “Such attacks are commonly known under the umbrella of adversarial knowledge discovery (Skillicorn, 2009) or adversarial learning (Lowd & Meek, 2005).”
Attacks on Machine Learning: Lurking Danger for Accountability (2019, background): “Adversarial Examples [69] X [15] [15, 17, 52, 53, 54, 55] X [25, 64]”