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Semantic Scholar Open Access 2018 347 sitasi

Adversarial Attacks and Defences Competition

Alexey Kurakin I. Goodfellow Samy Bengio Yinpeng Dong Fangzhou Liao +18 lainnya
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Abstrak

To accelerate research on adversarial examples and robustness of machine learning classifiers, Google Brain organized a NIPS 2017 competition that encouraged researchers to develop new methods to generate adversarial examples as well as to develop new ways to defend against them. In this chapter, we describe the structure and organization of the competition and the solutions developed by several of the top-placing teams.

Topik & Kata Kunci

Computer Science Mathematics

Penulis (23)

A

Alexey Kurakin

I

I. Goodfellow

S

Samy Bengio

Y

Yinpeng Dong

F

Fangzhou Liao

M

Ming Liang

T

Tianyu Pang

J

Jun Zhu

X

Xiaolin Hu

C

Cihang Xie

J

Jianyu Wang

Z

Zhishuai Zhang

Z

Zhou Ren

A

A. Yuille

S

Sangxia Huang

Y

Yao Zhao

Y

Yuzhe Zhao

Z

Zhonglin Han

J

Junjiajia Long

Y

Yerkebulan Berdibekov

T

Takuya Akiba

S

Seiya Tokui

M

Motoki Abe

Format Sitasi

APA MLA BibTeX
Kurakin, A., Goodfellow, I., Bengio, S., Dong, Y., Liao, F., Liang, M. et al. (2018). Adversarial Attacks and Defences Competition. https://doi.org/10.1007/978-3-319-94042-7_11

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Lihat di Sumber doi.org/10.1007/978-3-319-94042-7_11
Informasi Jurnal
Tahun Terbit
2018
Bahasa
en
Total Sitasi
347×
Sumber Database
Semantic Scholar
DOI
10.1007/978-3-319-94042-7_11
Akses
Open Access ✓