{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,10,29]],"date-time":"2024-10-29T20:26:43Z","timestamp":1730233603772,"version":"3.28.0"},"reference-count":20,"publisher":"IEEE","license":[{"start":{"date-parts":[[2022,10,3]],"date-time":"2022-10-03T00:00:00Z","timestamp":1664755200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2022,10,3]],"date-time":"2022-10-03T00:00:00Z","timestamp":1664755200000},"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":[[2022,10,3]]},"DOI":"10.1109\/icccnt54827.2022.9984441","type":"proceedings-article","created":{"date-parts":[[2022,12,26]],"date-time":"2022-12-26T14:44:09Z","timestamp":1672065849000},"page":"1-5","source":"Crossref","is-referenced-by-count":0,"title":["Lipschitz Bound Analysis of Neural Networks"],"prefix":"10.1109","author":[{"given":"Sarosij","family":"Bose","sequence":"first","affiliation":[{"name":"University of Calcutta,Department of Computer Science and Engineering,Kolkata,India"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"journal-title":"Learning multiple layers of features from tiny images","year":"2009","author":"krizhevsky","key":"ref13"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v35i8.16824"},{"key":"ref15","article-title":"Efficient and accurate estimation of lipschitz constants for deep neural networks","volume":"32","author":"fazlyab","year":"2019","journal-title":"Advances in neural information processing systems"},{"article-title":"Intriguing properties of neural networks","year":"2013","author":"szegedy","key":"ref14"},{"key":"ref20","article-title":"Lipschitz regularity of deep neural networks: analysis and efficient estimation","volume":"31","author":"virmaux","year":"2018","journal-title":"Advances in neural information processing systems"},{"key":"ref11","article-title":"High performance convolutional neural networks for document processing","author":"chellapilla","year":"2006","journal-title":"International Workshop on Frontiers in Handwriting Recognition"},{"key":"ref10","article-title":"Safe model-based reinforcement learning with stability guarantees","volume":"30","author":"berkenkamp","year":"2017","journal-title":"Advances in neural information processing systems"},{"article-title":"The mnist database of handwritten digits","year":"1998","author":"lecun","key":"ref2"},{"article-title":"Explaining and harnessing adversarial examples","year":"2014","author":"goodfellow","key":"ref1"},{"article-title":"The singular values of convolutional layers","year":"2018","author":"sedghi","key":"ref17"},{"article-title":"Lipschitz constant estimation of neural networks via sparse polynomial optimization","year":"2020","author":"latorre","key":"ref16"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/UPCON52273.2021.9667654"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/ASAP.2017.7995254"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.24963\/ijcai.2018\/368"},{"key":"ref7","article-title":"Scaling provable adversarial defenses","volume":"31","author":"wong","year":"2018","journal-title":"Advances in neural information processing systems"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1016\/j.automatica.2013.02.003"},{"key":"ref4","first-page":"448","article-title":"Batch normalization: Accelerating deep network training by reducing internal covariate shift","author":"ioffe","year":"2015","journal-title":"International Conference on Machine Learning"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/AIPR50011.2020.9425267"},{"article-title":"Evaluating the robustness of neural networks: An extreme value theory approach","year":"2018","author":"weng","key":"ref6"},{"article-title":"Decoupled weight decay regularization","year":"2017","author":"loshchilov","key":"ref5"}],"event":{"name":"2022 13th International Conference on Computing Communication and Networking Technologies (ICCCNT)","start":{"date-parts":[[2022,10,3]]},"location":"Kharagpur, India","end":{"date-parts":[[2022,10,5]]}},"container-title":["2022 13th International Conference on Computing Communication and Networking Technologies (ICCCNT)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/9984157\/9984211\/09984441.pdf?arnumber=9984441","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,1,23]],"date-time":"2023-01-23T15:14:22Z","timestamp":1674486862000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9984441\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,10,3]]},"references-count":20,"URL":"https:\/\/doi.org\/10.1109\/icccnt54827.2022.9984441","relation":{},"subject":[],"published":{"date-parts":[[2022,10,3]]}}}