{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,18]],"date-time":"2026-03-18T14:07:12Z","timestamp":1773842832872,"version":"3.50.1"},"reference-count":30,"publisher":"IEEE","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2017,5]]},"DOI":"10.1109\/ijcnn.2017.7965869","type":"proceedings-article","created":{"date-parts":[[2017,7,10]],"date-time":"2017-07-10T17:41:30Z","timestamp":1499708490000},"page":"300-307","source":"Crossref","is-referenced-by-count":2,"title":["Margin maximization for robust classification using deep learning"],"prefix":"10.1109","author":[{"given":"Alexander","family":"Matyasko","sequence":"first","affiliation":[]},{"given":"Lap-Pui","family":"Chau","sequence":"additional","affiliation":[]}],"member":"263","reference":[{"key":"ref30","article-title":"Network In Network","author":"lin","year":"2014","journal-title":"International Conference on Learning Representations (ICLR)"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/5.726791"},{"key":"ref11","article-title":"Distributional Smoothing with Virtual Adversarial Training","author":"miyato","year":"2015","journal-title":"International Conference on Learning Representations (ICLR)"},{"key":"ref12","first-page":"833","article-title":"Contractive auto-encoders: Explicit invariance during feature extraction","author":"rifai","year":"2011","journal-title":"Proceedings of the 28th International Conference on Machine Learning 2011"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1007\/978-1-4757-2440-0"},{"key":"ref14","article-title":"Deep learning using linear support vector machines","author":"tang","year":"2013","journal-title":"ICML Representation Learning Worksop"},{"key":"ref15","first-page":"1485","article-title":"Robustness and regularization of support vector machines","volume":"10","author":"xu","year":"2009","journal-title":"Journal of Machine Learning Research"},{"key":"ref16","first-page":"2613","article-title":"Measuring neural net robustness with constraints","author":"bastani","year":"2016","journal-title":"Advances in Neural IInformation Processing Systems"},{"key":"ref17","article-title":"Adversarial Manipulation of Deep Representations","author":"sabour","year":"2016","journal-title":"International Conference on Learning Representations (ICLR)"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2015.7298640"},{"key":"ref19","article-title":"Towards deep neural network architectures robust to adversarial examples","author":"gu","year":"2014","journal-title":"Workshop Contribution at International Conference on Learning Representations"},{"key":"ref28","article-title":"Adam: A Method for Stochastic Optimization","author":"kingma","year":"2014","journal-title":"ArXiv e-prints"},{"key":"ref4","article-title":"Intriguing properties of neural networks","author":"szegedy","year":"2014","journal-title":"International Conference on Learning Representations (ICLR)"},{"key":"ref27","article-title":"Theano: A Python framework for fast computation of mathematical expressions","year":"2016","journal-title":"ArXiv e-prints"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2014.214"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.485"},{"key":"ref29","first-page":"1929","article-title":"Dropout: A simple way to prevent neural networks from overfitting","volume":"15","author":"srivastava","year":"2014","journal-title":"Journal of Machine Learning Research"},{"key":"ref5","article-title":"Explaining and harnessing adversarial examples","author":"goodfellow","year":"2015","journal-title":"International Conference on Learning Representations (ICLR)"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1007\/s10994-011-5268-1"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/EuroSP.2016.36"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2012.231"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.282"},{"key":"ref1","first-page":"1106","article-title":"Imagenet classification with deep convolutional neural networks","author":"krizhevsky","year":"2012","journal-title":"Advances in Neural Information Processing Systems 25"},{"key":"ref20","article-title":"Distilling the Knowledge in a Neural Network","author":"hinton","year":"2015","journal-title":"ArXiv e-prints"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/IJCNN.1991.155328"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/SP.2016.41"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/IJCNN.2016.7727230"},{"key":"ref23","first-page":"369","article-title":"Robust optimization in machine learning","author":"caramanis","year":"2012","journal-title":"Optimization for Machine Learning"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1023\/A:1013637720281"},{"key":"ref25","first-page":"1632","article-title":"Robustness of classifiers: from adversarial to random noise","author":"fawzi","year":"2016","journal-title":"Advances in Neural IInformation Processing Systems"}],"event":{"name":"2017 International Joint Conference on Neural Networks (IJCNN)","location":"Anchorage, AK, USA","start":{"date-parts":[[2017,5,14]]},"end":{"date-parts":[[2017,5,19]]}},"container-title":["2017 International Joint Conference on Neural Networks (IJCNN)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/7958416\/7965814\/07965869.pdf?arnumber=7965869","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2017,7,21]],"date-time":"2017-07-21T01:26:54Z","timestamp":1500600414000},"score":1,"resource":{"primary":{"URL":"http:\/\/ieeexplore.ieee.org\/document\/7965869\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2017,5]]},"references-count":30,"URL":"https:\/\/doi.org\/10.1109\/ijcnn.2017.7965869","relation":{},"subject":[],"published":{"date-parts":[[2017,5]]}}}