Ensemble Adversarial Training: Attacks and Defenses

Florian TramèrAlexey KurakinNicolas PapernotIan GoodfellowDan BonehPatrick McDaniel

   Papers with code   Abstract  PDF

Adversarial examples are perturbed inputs designed to fool machine learning models. Adversarial training injects such examples into training data to increase robustness... (read more)

Benchmarked Models

RANK
MODEL
REPO
CODE RESULT
PAPER RESULT
ε-REPRODUCED
BUILD
1
Ensemble Adversarial Inception V3
80.0%
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