Editorial: Safe and Trustworthy Machine Learning

Bhavya Kailkhura; Pin Yu Chen; Xue Lin; Bo Li

doi:10.3389/fdata.2021.731605

Editorial: Safe and Trustworthy Machine Learning

Bhavya Kailkhura, Pin Yu Chen, Xue Lin, Bo Li

Siebel School of Computing and Data Science

Research output: Contribution to journal › Editorial › peer-review

Original language	English (US)
Article number	731605
Journal	Frontiers in Big Data
Volume	4
Early online date	Aug 6 2021
DOIs	https://doi.org/10.3389/fdata.2021.731605
State	Published - Aug 6 2021

Keywords

adversarial example defense
deep neural network
robust machine learning
safe machine learning
trust

ASJC Scopus subject areas

Artificial Intelligence
Computer Science (miscellaneous)
Information Systems

Online availability

10.3389/fdata.2021.731605License: CC BY

Library availability

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Cite this

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title = "Editorial: Safe and Trustworthy Machine Learning",

keywords = "adversarial example defense, deep neural network, robust machine learning, safe machine learning, trust",

author = "Bhavya Kailkhura and Chen, {Pin Yu} and Xue Lin and Bo Li",

year = "2021",

month = aug,

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language = "English (US)",

volume = "4",

journal = "Frontiers in Big Data",

issn = "2624-909X",

publisher = "Frontiers Media SA",

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AU - Chen, Pin Yu

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AU - Li, Bo

PY - 2021/8/6

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KW - deep neural network

KW - robust machine learning

KW - safe machine learning

KW - trust

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M3 - Editorial

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AN - SCOPUS:85113198775

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JO - Frontiers in Big Data

JF - Frontiers in Big Data

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ER -

Editorial: Safe and Trustworthy Machine Learning

Keywords

ASJC Scopus subject areas

Online availability

Library availability

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