Confidence-Calibrated Adversarial Training: Generalizing to Unseen Attacks

14 Oct 2019David StutzMatthias HeinBernt Schiele

Adversarial training yields robust models against a specific threat model, e.g., $L_\infty$ adversarial examples. Typically robustness does not generalize to previously unseen threat models, e.g., other $L_p$ norms, or larger perturbations... (read more)

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