A game-theoretic framework computes robust linear SVM classifiers for conditionally Gaussian data by rewriting adversary and classifier problems as convex optimizations and applying best response dynamics to reach equilibrium.
Adversarial m achine learn- ing at scale
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A Game-Theoretic Approach to Adversarial Linear Support Vector Classification
A game-theoretic framework computes robust linear SVM classifiers for conditionally Gaussian data by rewriting adversary and classifier problems as convex optimizations and applying best response dynamics to reach equilibrium.