Detection of Compromised Models Using Bayesian Optimization

Kuttichira, DP, Gupta, Sunil, Nguyen, Dang, Rana, Santu and Venkatesh, Svetha 2019, Detection of Compromised Models Using Bayesian Optimization, in AI 2019 : Advances in Artificial Intelligence : Proceedings of the 32nd Australian Joint Conference, Springer, Berlin, Germany, pp. 485-496, doi: 10.1007/978-3-030-35288-2_39.

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Title Detection of Compromised Models Using Bayesian Optimization
Author(s) Kuttichira, DP
Gupta, SunilORCID iD for Gupta, Sunil orcid.org/0000-0002-3308-1930
Nguyen, DangORCID iD for Nguyen, Dang orcid.org/0000-0002-0401-988X
Rana, SantuORCID iD for Rana, Santu orcid.org/0000-0003-2247-850X
Venkatesh, SvethaORCID iD for Venkatesh, Svetha orcid.org/0000-0001-8675-6631
Conference name Artificial Intelligence. Joint Conference (2019 : 32nd : Adelaide, South Australia)
Conference location Adelaide, South Australia
Conference dates 2-5 Dec. 2019
Title of proceedings AI 2019 : Advances in Artificial Intelligence : Proceedings of the 32nd Australian Joint Conference
Editor(s) Liu, J
Bailey, J
Publication date 2019
Series Lecture Notes in Computer Science; v.11919
Start page 485
End page 496
Total pages 13
Publisher Springer
Place of publication Berlin, Germany
Keyword(s) Cloud Service
Sensitive Sample
Bayesian Optimization
ISBN 9783030352875
ISSN 0302-9743
1611-3349
Language eng
DOI 10.1007/978-3-030-35288-2_39
Indigenous content off
HERDC Research category E1 Full written paper - refereed
Grant ID FL170100006
Persistent URL http://hdl.handle.net/10536/DRO/DU:30134119

Document type: Conference Paper
Collection: A2I2 (Applied Artificial Intelligence Institute)
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