{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,10,29]],"date-time":"2024-10-29T13:31:26Z","timestamp":1730208686579,"version":"3.28.0"},"reference-count":24,"publisher":"IEEE","license":[{"start":{"date-parts":[[2021,11,8]],"date-time":"2021-11-08T00:00:00Z","timestamp":1636329600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2021,11,8]],"date-time":"2021-11-08T00:00:00Z","timestamp":1636329600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2021,11,8]]},"DOI":"10.1109\/cloudnet53349.2021.9657130","type":"proceedings-article","created":{"date-parts":[[2021,12,30]],"date-time":"2021-12-30T00:44:11Z","timestamp":1640825051000},"page":"19-25","source":"Crossref","is-referenced-by-count":0,"title":["Leveraging Partial Model Extractions using Uncertainty Quantification"],"prefix":"10.1109","author":[{"given":"Arne","family":"Aarts","sequence":"first","affiliation":[{"name":"Eindhoven University of Technology,Eindhoven,The Netherlands"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Wil","family":"Michiels","sequence":"additional","affiliation":[{"name":"Eindhoven University of Technology and NXP Semiconductors,Eindhoven,The Netherlands"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Peter","family":"Roelse","sequence":"additional","affiliation":[{"name":"Irdeto B.V.,Hoofddorp,The Netherlands"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref10","article-title":"MAZE: data-free model stealing attack using zeroth-order gradient estimation","volume":"abs 2005 3161","author":"kariyappa","year":"2020","journal-title":"CoRR"},{"article-title":"TensorFlow: Large-scale machine learning on heterogeneous systems","year":"2015","author":"a","key":"ref11"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00474"},{"article-title":"Keras","year":"2015","author":"chollet","key":"ref13"},{"article-title":"Caltech-256 object category dataset","year":"2007","author":"griffin","key":"ref14"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2009.5206537"},{"key":"ref16","article-title":"Real-time edge classification: Optimal offloading under token bucket constraints","volume":"abs 2010 13737","author":"chakrabarti","year":"2020","journal-title":"CoRR"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/ICASSP.2018.8461745"},{"key":"ref18","first-page":"580","article-title":"IDK cascades: Fast deep learning by learning not to overthink","author":"wang","year":"2018","journal-title":"Proceedings of the Thirty-Fourth Conference on Uncertainty in Artificial Intelligence UAI 2018 Monterey California USA August 6-10 2018"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-46349-0_5"},{"key":"ref4","first-page":"1345","article-title":"High accuracy and high fidelity extraction of neural networks","author":"jagielski","year":"2020","journal-title":"29th USENIX Security Symposium USENIX Security 2020 August 12-14 2020"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1145\/3442536.3442550"},{"key":"ref6","article-title":"A framework for the extraction of deep neural networks by leveraging public data","volume":"abs 1905 9165","author":"pal","year":"2019","journal-title":"CoRR"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00509"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.14722\/ndss.2020.24178"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1145\/3052973.3053009"},{"key":"ref2","article-title":"Data-free model extraction","volume":"abs 2011 14779","author":"truong","year":"2020","journal-title":"CoRR"},{"key":"ref1","first-page":"1","article-title":"Copycat CNN: stealing knowledge by persuading confession with random non-labeled data","author":"da silva","year":"2018","journal-title":"2018 International Joint Conference on Neural Networks IJCNN 2018 Rio de Janeiro Brazil July 8-13 2018"},{"key":"ref9","article-title":"Black-box ripper: Copying black-box models using generative evolutionary algorithms","author":"barbalau","year":"2020","journal-title":"Advances in Neural Information Processing Systems 33 Annual Conference on Neural Information Processing Systems 2020 NeurIPS 2020 December 6-12 2020 virtual"},{"key":"ref20","first-page":"6402","article-title":"Simple and scalable predictive uncertainty estimation using deep ensembles","author":"lakshminarayanan","year":"2017","journal-title":"Advances in Neural Information Processing Systems 30 Annual Conference on Neural Information Processing Systems 2017 December 4-9 2017 Long Beach CA USA"},{"key":"ref22","doi-asserted-by":"crossref","first-page":"248","DOI":"10.1109\/CVPR.2009.5206848","article-title":"Imagenet: A large-scale hierarchical image database","author":"deng","year":"2009","journal-title":"2009 IEEE Conference on Computer Vision and Pattern Recognition"},{"article-title":"Pitfalls of in-domain uncertainty estimation and ensembling in deep learning","year":"0","author":"ashukha","key":"ref21"},{"key":"ref24","article-title":"Lecture 6.5—RmsProp: Divide the gradient by a running average of its recent magnitude","author":"tieleman","year":"2012","journal-title":"COURSERA Neural Networks for Machine Learning"},{"key":"ref23","article-title":"Adam: A method for stochastic optimization","author":"kingma","year":"2015","journal-title":"3rd International Conference on Learning Representations ICLR 2015 San Diego CA USA May 7-9 2015 Conference Track Proceedings"}],"event":{"name":"2021 IEEE 10th International Conference on Cloud Networking (CloudNet)","start":{"date-parts":[[2021,11,8]]},"location":"Cookeville, TN, USA","end":{"date-parts":[[2021,11,10]]}},"container-title":["2021 IEEE 10th International Conference on Cloud Networking (CloudNet)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/9657104\/9657108\/09657130.pdf?arnumber=9657130","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,6,13]],"date-time":"2022-06-13T21:11:29Z","timestamp":1655154689000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9657130\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,11,8]]},"references-count":24,"URL":"https:\/\/doi.org\/10.1109\/cloudnet53349.2021.9657130","relation":{},"subject":[],"published":{"date-parts":[[2021,11,8]]}}}