Deployable Machine Learning for Security Defense: Second International Workshop, MLHat 2021, Virtual Event, August 15, 2021, Proceedings

Gang Wang; Arridhana Ciptadi; Ali Ahmadzadeh

doi:10.1007/978-3-030-87839-9

Deployable Machine Learning for Security Defense: Second International Workshop, MLHat 2021, Virtual Event, August 15, 2021, Proceedings

Gang Wang (Editor)
, Arridhana Ciptadi (Editor)
, Ali Ahmadzadeh (Editor)

Research output: Book/Report/Conference proceeding › Conference proceeding › peer-review

Original language	English (US)
Publisher	Springer
ISBN (Electronic)	9783030878399
ISBN (Print)	9783030878382
DOIs	https://doi.org/10.1007/978-3-030-87839-9
State	Published - 2021

Publication series

Name	Communications in Computer and Information Science
Volume	1482
ISSN (Print)	1865-0929
ISSN (Electronic)	1865-0937

Keywords

computer crime
software
signal processing
privacy
operating systems
network security
network protocols
malware detection
malware
machine learning
intrusion detection
databases
data security
cryptography
computer systems
computer security
computer science
computer networks

Online availability

10.1007/978-3-030-87839-9

Library availability

Discover UIUC Full Text

1 Foreword/postscript

Preface
Wang, G., Ciptadi, A. & Ahmadzadeh, A., 2021, Deployable Machine Learning for Security Defense: Second International Workshop, MLHat 2021, Virtual Event, August 15, 2021, Proceedings. Wang, G., Ciptadi, A. & Ahmadzadeh, A. (eds.). Springer, p. v (Communications in Computer and Information Science; vol. 1482).
Research output: Chapter in Book/Report/Conference proceeding › Foreword/postscript

Cite this

Deployable Machine Learning for Security Defense: Second International Workshop, MLHat 2021, Virtual Event, August 15, 2021, Proceedings. / Wang, Gang (Editor); Ciptadi, Arridhana (Editor); Ahmadzadeh, Ali (Editor).
Springer, 2021. (Communications in Computer and Information Science; Vol. 1482).

Research output: Book/Report/Conference proceeding › Conference proceeding › peer-review

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Deployable Machine Learning for Security Defense: Second International Workshop, MLHat 2021, Virtual Event, August 15, 2021, Proceedings

Publication series

Keywords

Online availability

Library availability

Research output

Preface

Cite this