{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,9,7]],"date-time":"2024-09-07T15:06:31Z","timestamp":1725721591910},"reference-count":20,"publisher":"IEEE","license":[{"start":{"date-parts":[[2019,12,1]],"date-time":"2019-12-01T00:00:00Z","timestamp":1575158400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2019,12,1]],"date-time":"2019-12-01T00:00:00Z","timestamp":1575158400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2019,12,1]],"date-time":"2019-12-01T00:00:00Z","timestamp":1575158400000},"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":[[2019,12]]},"DOI":"10.1109\/asianhost47458.2019.9006702","type":"proceedings-article","created":{"date-parts":[[2020,2,25]],"date-time":"2020-02-25T05:07:41Z","timestamp":1582607261000},"page":"1-6","source":"Crossref","is-referenced-by-count":5,"title":["Detecting Adversarial Examples for Deep Neural Networks via Layer Directed Discriminative Noise Injection"],"prefix":"10.1109","author":[{"given":"Si","family":"Wang","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Wenye","family":"Liu","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Chip-Hong","family":"Chang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.17"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/SP.2016.41"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1145\/3052973.3053009"},{"key":"ref13","article-title":"Feature squeezing: Detecting adversarial examples in deep neural networks","author":"xu","year":"2017","journal-title":"arXiv preprint arXiv 1704 01155"},{"key":"ref14","article-title":"On detecting adversarial perturbations","author":"metzen","year":"2017","journal-title":"arXiv preprint arXiv 1702 04372"},{"key":"ref15","article-title":"Detecting adversarial samples for deep neural networks through mutation testing","author":"wang","year":"2018","journal-title":"arXiv preprint arXiv 1805 05010"},{"key":"ref16","article-title":"Very deep convolutional networks for large-scale image recognition","author":"simonyan","year":"2014","journal-title":"arXiv preprint arXiv 1409 1556"},{"key":"ref17","first-page":"631","article-title":"Is robustness the cost of accuracy?-a comprehensive study on the robustness of 18 deep image classification models","author":"su","year":"2018","journal-title":"Proceedings of the European Conference on Computer Vision (ECCV)"},{"key":"ref18","article-title":"Mobilenets: Efficient convolutional neural networks for mobile vision applications","author":"howard","year":"2017","journal-title":"arXiv preprint arXiv 1704 04861"},{"key":"ref19","first-page":"1097","article-title":"Imagenet classification with deep convolutional neural networks","author":"krizhevsky","year":"2012","journal-title":"Advances in neural information processing systems"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2018.2807385"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1016\/j.neunet.2014.09.003"},{"key":"ref6","article-title":"Explaining and harnessing adversarial examples","author":"goodfellow","year":"2014","journal-title":"arXiv preprint arXiv 1412 6572"},{"key":"ref5","article-title":"Intriguing properties of neural networks","author":"szegedy","year":"0","journal-title":"arXiv preprint arXiv 1312 6199 2013"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/EuroSP.2016.36"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/SP.2017.49"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1561\/2200000006"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/JPROC.2017.2761740"},{"key":"ref9","first-page":"2574","article-title":"Deepfool: A simple and accurate method to fool deep neural networks","author":"moosavi-dezfooli","year":"2016","journal-title":"Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/ICSE.2019.00126"}],"event":{"name":"2019 Asian Hardware Oriented Security and Trust Symposium (AsianHOST)","start":{"date-parts":[[2019,12,16]]},"location":"Xi'an, China","end":{"date-parts":[[2019,12,17]]}},"container-title":["2019 Asian Hardware Oriented Security and Trust Symposium (AsianHOST)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/8976189\/9006656\/09006702.pdf?arnumber=9006702","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,7,17]],"date-time":"2022-07-17T21:53:25Z","timestamp":1658094805000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9006702\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2019,12]]},"references-count":20,"URL":"https:\/\/doi.org\/10.1109\/asianhost47458.2019.9006702","relation":{},"subject":[],"published":{"date-parts":[[2019,12]]}}}