Beyond Pixel Norm-Balls: Parametric Adversaries using an Analytically Differentiable Renderer

ICLR 2019 Hsueh-Ti Derek LiuMichael TaoChun-Liang LiDerek NowrouzezahraiAlec Jacobson

Many machine learning image classifiers are vulnerable to adversarial attacks, inputs with perturbations designed to intentionally trigger misclassification. Current adversarial methods directly alter pixel colors and evaluate against pixel norm-balls: pixel perturbations smaller than a specified magnitude, according to a measurement norm... (read more)

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