{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,16]],"date-time":"2026-05-16T16:10:47Z","timestamp":1778947847660,"version":"3.51.4"},"reference-count":30,"publisher":"IEEE","license":[{"start":{"date-parts":[[2019,6,1]],"date-time":"2019-06-01T00:00:00Z","timestamp":1559347200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2019,6,1]],"date-time":"2019-06-01T00:00:00Z","timestamp":1559347200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2019,6,1]],"date-time":"2019-06-01T00:00:00Z","timestamp":1559347200000},"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":[[2019,6]]},"DOI":"10.1109\/sds.2019.8768572","type":"proceedings-article","created":{"date-parts":[[2019,7,25]],"date-time":"2019-07-25T19:53:52Z","timestamp":1564084432000},"page":"55-63","source":"Crossref","is-referenced-by-count":20,"title":["Evasion Attacks Against Watermarking Techniques found in MLaaS Systems"],"prefix":"10.1109","author":[{"given":"Dorjan","family":"Hitaj","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Briland","family":"Hitaj","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Luigi V.","family":"Mancini","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-00470-5_13"},{"key":"ref10","article-title":"Stealing machine learning models via prediction apis","author":"tramer","year":"2016","journal-title":"USENIX Security Symposium"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1007\/s13735-018-0147-1"},{"key":"ref12","author":"lecun","year":"2010","journal-title":"MNIST Handwritten Digit Database"},{"key":"ref13","author":"mitchell","year":"1997","journal-title":"Machine Learning"},{"key":"ref14","year":"2018","journal-title":"Introduction to deep neural networks (deep learning) &#x2014; DL4J"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.308"},{"key":"ref16","year":"2018","journal-title":"How much data is enough? &#x2014; FastML"},{"key":"ref17","volume":"8","author":"sontag","year":"1998","journal-title":"Vc dimension of neural networks"},{"key":"ref18","year":"2018","journal-title":"Why deep learning is suddenly changing your life &#x2014; Fortune"},{"key":"ref19","year":"2018","journal-title":"Backdoors &#x2014; techopedia"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2009.191"},{"key":"ref4","first-page":"1","volume":"1","author":"christian","year":"2015","journal-title":"Going Deeper with Convolutions"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1016\/j.jvcir.2013.08.009"},{"key":"ref3","author":"simonyan","year":"2014","journal-title":"Very Deep Convolutional Networks for Large-scale Image Recognition"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.195"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1016\/j.eswa.2017.11.028"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.90"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.3115\/v1\/D14-1181"},{"key":"ref7","article-title":"Towards end-to-end speech recognition with deep convolutional neural networks","volume":"abs 1701 2720","author":"zhang","year":"2017","journal-title":"CoRR"},{"key":"ref2","article-title":"Visualizing and understanding convolutional networks","volume":"abs 1311 2901","author":"zeiler","year":"2013","journal-title":"CoRR"},{"key":"ref9","year":"2018","journal-title":"Machine learning as a service &#x2014; G2Crowd"},{"key":"ref1","first-page":"1097","article-title":"Imagenet classification with deep convolutional neural networks","author":"krizhevsky","year":"2012","journal-title":"Proceedings of the 25th International Conference on Neural Information Processing Systems - Volume 1 ser NIPS&#x2019;12 USA Curran Associates Inc"},{"key":"ref20","volume":"8","author":"gu","year":"2017","journal-title":"BadNets Identifying vulnerabilities in the machine learning model supply chain"},{"key":"ref22","article-title":"Adversarial frontier stitching for remote neural network watermarking","volume":"abs 1711 1894","author":"merrer","year":"2017","journal-title":"CoRR"},{"key":"ref21","article-title":"Turning your weakness into a strength: Watermarking deep neural networks by backdooring","author":"adi","year":"2018","journal-title":"27th USENIX Security Symposium (USENIX Security 18)"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2009.5206848"},{"key":"ref23","article-title":"Transferability in machine learning: from phenomena to black-box attacks using adversarial samples","author":"papernot","year":"2016","journal-title":"arXiv preprint arXiv 1605 09090"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1145\/3196494.3196550"},{"key":"ref25","author":"funda gne","year":"2017","journal-title":"Stacked Ensemble Models for Improved Prediction Accuracy"}],"event":{"name":"2019 Sixth International Conference on Software Defined Systems (SDS)","location":"Rome, Italy","start":{"date-parts":[[2019,6,10]]},"end":{"date-parts":[[2019,6,13]]}},"container-title":["2019 Sixth International Conference on Software Defined Systems (SDS)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/8764267\/8768486\/08768572.pdf?arnumber=8768572","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,7,18]],"date-time":"2022-07-18T11:20:45Z","timestamp":1658143245000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/8768572\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2019,6]]},"references-count":30,"URL":"https:\/\/doi.org\/10.1109\/sds.2019.8768572","relation":{},"subject":[],"published":{"date-parts":[[2019,6]]}}}