Towards Transferable Targeted Adversarial Examples

Author:

Wang Zhibo1,Yang Hongshan1,Feng Yunhe2,Sun Peng3,Guo Hengchang4,Zhang Zhifei5,Rent Kui1

Affiliation:

1. School of Cyber Science and Technology, Zhejiang University,P. R. China

2. University of North Texas,Department of Computer Science and Engineering,USA

3. College of Computer Science and Electronic Engineering, Hunan University,P. R. China

4. School of Cyber Science and Engineering, Wuhan University,P. R. China

5. Adobe Research

Funder

National Natural Science Foundation of China

National Key R&D Program of China

Publisher

IEEE

Reference36 articles.

1. Feature Space Perturbations Yield More Transferable Adversarial Examples

2. Squeezenet: Alexnet-level accuracy with 50x fewer parameters and¡ 0.5 mb model size;iandola;ArXiv Preprint,2016

3. Skip connections matter: On the transferability of adversarial examples generated with resnets;dongxian;ArXiv Preprint,2020

4. Densely Connected Convolutional Networks

5. Feature Space Targeted Attacks by Statistic Alignment

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