Practical Black-Box Attacks against Machine Learning

Goodfellow, Ian; McDaniel, Patrick; Papernot, Nicolas; Swami, Ananthram; Celik, Z. Berkay; Jha, Somesh

doi:10.1145/3052973.3053009

Record: found
Abstract: not found
Conference Proceedings: not found

Practical Black-Box Attacks against Machine Learning

proceedings-article

Author(s): Nicolas Papernot ¹ , Patrick McDaniel ¹ , Ian Goodfellow ² , Somesh Jha ³ , Z. Berkay Celik ¹ , Ananthram Swami ⁴

Publication date (Print): 2017

Conference name: the 2017 ACM (ASIA CCS '17)

Conference date: May 02, 2017 - May 06, 2017

Read this article at

ScienceOpenPublisher

Bookmark

There is no author summary for this article yet. Authors can add summaries to their articles on ScienceOpen to make them more accessible to a non-specialist audience.

Related collections

Author and article information

Conference

Publication date (Print): 2017

Pages: 506-519

Affiliations

[1 ]Pennsylvania State University, University Park, PA, USA

[2 ]OpenAI, San Francisco, CA, USA

[3 ]University of Wisconsin, Madison, WI, USA

[4 ]US Army Research Laboratory, Adelphi, MD, USA

Article

DOI: 10.1145/3052973.3053009

SO-VID: 73dcfd1a-96aa-4d94-a2e3-467e29555503

License:

http://www.acm.org/publications/policies/copyright_policy#Background

Conference name: the 2017 ACM

Conference acronym: ASIA CCS '17

Conference number: 2017

Conference location: Abu Dhabi, United Arab Emirates

Conference date: May 02, 2017 - May 06, 2017

Conference sponsor: SIGSAC, ACM Special Interest Group on Security, Audit, and Control

Practical Black-Box Attacks against Machine Learning

Read this article at

Related collections

Annual Reviews AI, Machine Learning, and Society

Author and article information

Conference

Affiliations

Article

History

Comments

Comment on this article

Similar content 3,296

Cited by 312