Enhancing Adversarial Example Transferability with an Intermediate Level Attack

ICCV 2019 Qian HuangIsay KatsmanHorace HeZeqi GuSerge BelongieSer-Nam Lim

Neural networks are vulnerable to adversarial examples, malicious inputs crafted to fool trained models. Adversarial examples often exhibit black-box transfer, meaning that adversarial examples for one model can fool another model... (read more)

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