Bayesian Games for Adversarial Regression Problems

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Is data clustering in adversarial settings secure? (2013, background): “lgorithm and the attacker. This has been done in the case of supervised learning, to improve the security of learning algorithms against evasion attempts [8], and similarly, in the regression setting [13]. Other approaches may more directly encode explicit assumptions on how the data distribution ch”
Pattern Recognition Systems under Attack: Design Issues and Research Challenges (2014, background): “, Bayesian games [38]), uncertainty on the payoff function is simply modeled with a prior distribution over its parameters (and, thus, the payoff function is still essentially known).”
Poisoning Complete-Linkage Hierarchical Clustering (2014, background): “In the literature, the problem of learning in adversarial environments has been mainly addressed in the area of supervised classification [8–11], and regression [12].”