Adversarial Machine Learning at Scale

Alexey KurakinIan GoodfellowSamy Bengio

   Papers with code   Abstract  PDF

Adversarial examples are malicious inputs designed to fool machine learning models. They often transfer from one model to another, allowing attackers to mount black box attacks without knowledge of the target model's parameters... (read more)

Benchmarked Models

RANK
MODEL
REPO
CODE RESULT
PAPER RESULT
ε-REPRODUCED
BUILD
1
Adversarial Inception V3
77.6%
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