Protecting IP of deep neural networks with watermarking: a new label helps Zhong, Qi, Zhang, Leo Yu, Zhang, Jun, Gao, Longxiang and Xiang, Yong 2020, Protecting IP of deep neural networks with watermarking: a new label helps, in PAKDD 2020 : Proceedings of the 24th Pacific-Asia Conference on Knowledge Discovery and Data Mining, Springer, Cham, Switzerland, pp. 462-474, doi: 10.1007/978-3-030-47436-2_35. Attached Files Name Description MIMEType Size Downloads Title Protecting IP of deep neural networks with watermarking: a new label helps Author(s) Zhong, Qi Zhang, Leo Yu orcid.org/0000-0001-9330-2662 Zhang, Jun Gao, Longxiang orcid.org/0000-0002-3026-7537 Xiang, Yong orcid.org/0000-0003-3545-7863 Conference name Knowledge Discovery and Data Mining. Conference (24th : 2020 : Singapore) Conference location Singapore Conference dates 2020/05/11 - 2020/05/14 Title of proceedings PAKDD 2020 : Proceedings of the 24th Pacific-Asia Conference on Knowledge Discovery and Data Mining Editor(s) Lauw, Hady W Wong, Raymond Chi-Wong Ntoulas, Alexandros Lim, Ee-Peng Ng, See-Kiong Pan, Sinno Jialin Publication date 2020 Series Knowledge Discovery and Data Mining Conference Start page 462 End page 474 Total pages 13 Publisher Springer Place of publication Cham, Switzerland Keyword(s) DNN intellectual property protection machine learning as a service watermarking ISBN 9783030474355 ISSN 0302-9743 1611-3349 Language eng DOI 10.1007/978-3-030-47436-2_35 Indigenous content off Field of Research 08 Information and Computing Sciences HERDC Research category E1 Full written paper - refereed Free to Read? Yes Persistent URL http://hdl.handle.net/10536/DRO/DU:30138756 Document type: Conference Paper Collections: Faculty of Science, Engineering and Built Environment School of Information Technology Open Access Collection Related Links Link Description Link to full-text (open access)   Connect to published version Go to link with your DU access privileges   Connect to Elements publication management system Go to link with your DU access privileges     Unless expressly stated otherwise, the copyright for items in DRO is owned by the author, with all rights reserved. Every reasonable effort has been made to ensure that permission has been obtained for items included in DRO. If you believe that your rights have been infringed by this repository, please contact drosupport@deakin.edu.au. Versions Version Filter Type Wed, 10 Jun 2020, 16:16:46 EST Wed, 10 Jun 2020, 16:56:28 EST Thu, 11 Jun 2020, 05:00:48 EST Thu, 11 Jun 2020, 06:05:23 EST Fri, 12 Jun 2020, 13:57:47 EST Fri, 12 Jun 2020, 14:03:02 EST Fri, 12 Jun 2020, 14:03:49 EST Wed, 17 Jun 2020, 19:35:58 EST Sat, 04 Dec 2021, 01:30:58 EST Filtered Full Citation counts:   Cited 4 times in TR Web of Science Cited 8 times in Scopus Search Google Scholar Access Statistics: 250 Abstract Views, 4 File Downloads  -  Detailed Statistics Created: Wed, 10 Jun 2020, 16:56:28 EST