Enhancing adversarial transferability with partial blocks on vision transformer

Y Han, J Liu, X Liu, X Jiang, L Gu, X Gao… - Neural Computing and …, 2022 - Springer
Adversarial examples can attack multiple unknown convolutional neural networks (CNNs)
due to adversarial transferability, which reveals the vulnerability of CNNs and facilitates the …
被引用次数：3 相关文章

Enhancing adversarial transferability with partial blocks on vision transformer

Y Han, J Liu, X Liu, X Jiang, L Gu, X Gao… - Neural Computing and …, 2022 - dl.acm.org
Adversarial examples can attack multiple unknown convolutional neural networks (CNNs)
due to adversarial transferability, which reveals the vulnerability of CNNs and facilitates the …

Enhancing adversarial transferability with partial blocks on vision transformer

Y Han, J Liu, X Liu, X Jiang, L Gu… - Neural Computing & …, 2022 - search.proquest.com
Adversarial examples can attack multiple unknown convolutional neural networks (CNNs)
due to adversarial transferability, which reveals the vulnerability of CNNs and facilitates the …

Enhancing adversarial transferability with partial blocks on vision transformer.

Y Han, J Liu, X Liu, X Jiang, L Gu… - Neural Computing & …, 2022 - search.ebscohost.com
Adversarial examples can attack multiple unknown convolutional neural networks (CNNs)
due to adversarial transferability, which reveals the vulnerability of CNNs and facilitates the …