{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,9]],"date-time":"2026-01-09T18:02:37Z","timestamp":1767981757089,"version":"3.49.0"},"reference-count":31,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"12","license":[{"start":{"date-parts":[[2021,12,1]],"date-time":"2021-12-01T00:00:00Z","timestamp":1638316800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2021,12,1]],"date-time":"2021-12-01T00:00:00Z","timestamp":1638316800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2021,12,1]],"date-time":"2021-12-01T00:00:00Z","timestamp":1638316800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001659","name":"Deutsche Forschungsgemeinschaft","doi-asserted-by":"publisher","award":["DFG TRR-169"],"award-info":[{"award-number":["DFG TRR-169"]}],"id":[{"id":"10.13039\/501100001659","id-type":"DOI","asserted-by":"publisher"}]},{"name":"project of Cross-modal Learning"},{"name":"Beijing Academy of Artificial Intelligence"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Pattern Anal. Mach. Intell."],"published-print":{"date-parts":[[2021,12,1]]},"DOI":"10.1109\/tpami.2020.3006917","type":"journal-article","created":{"date-parts":[[2020,7,3]],"date-time":"2020-07-03T20:40:52Z","timestamp":1593808852000},"page":"4469-4476","source":"Crossref","is-referenced-by-count":11,"title":["On Connections Between Regularizations for Improving DNN Robustness"],"prefix":"10.1109","volume":"43","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-0709-4877","authenticated-orcid":false,"given":"Yiwen","family":"Guo","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-5036-1539","authenticated-orcid":false,"given":"Long","family":"Chen","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-9333-1746","authenticated-orcid":false,"given":"Yurong","family":"Chen","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-8088-367X","authenticated-orcid":false,"given":"Changshui","family":"Zhang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1109\/5.726791"},{"key":"ref30","article-title":"Robustness may be at odds with accuracy","author":"tsipras","year":"2019","journal-title":"Proc Int Conf Learn Representations"},{"key":"ref10","first-page":"2263","article-title":"Formal guarantees on the robustness of a classifier against adversarial manipulation","author":"hein","year":"2017","journal-title":"Proc 31st Int Conf Neural Inf Process Syst"},{"key":"ref11","article-title":"Improving the adversarial robustness and interpretability of deep neural networks by regularizing their input gradients","author":"ross","year":"2018","journal-title":"Proc 32nd AAAI Conf Artif Intell"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-01258-8_32"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/ICDM.2015.84"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/TSP.2017.2708039"},{"key":"ref15","first-page":"5809","article-title":"Adversarial vulnerability of neural networks increases with input dimension","author":"simon-gabriel","year":"2019","journal-title":"Proc 34th Int Conf Mach Learn"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1145\/3052973.3053009"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1145\/3128572.3140448"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/SP.2017.49"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/EuroSP.2016.36"},{"key":"ref4","article-title":"Ensemble adversarial training: Attacks and defenses","author":"tram\u00e8r","year":"2018","journal-title":"Proc Int Conf Learn Representations"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.90"},{"key":"ref27","first-page":"2217","article-title":"Understanding and improving convolutional neural networks via concatenated rectified linear units","author":"shang","year":"2016","journal-title":"Proc 34th Int Conf Mach Learn"},{"key":"ref3","article-title":"Towards deep learning models resistant to adversarial attacks","author":"madry","year":"2018","journal-title":"Proc Int Conf Learn Representations"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00929"},{"key":"ref5","article-title":"Adversarial machine learning at scale","author":"kurakin","year":"2017","journal-title":"Proc Int Conf Learn Representations"},{"key":"ref29","article-title":"Neural machine translation by jointly learning to align and translate","author":"bahdanau","year":"2015","journal-title":"Proc Int Conf Learn Representations"},{"key":"ref8","first-page":"1929","article-title":"Dropout: A simple way to prevent neural networks from overfitting","volume":"15","author":"srivastava","year":"2014","journal-title":"J Mach Learn Res"},{"key":"ref7","first-page":"950","article-title":"A simple weight decay can improve generalization","author":"krogh","year":"1992","journal-title":"Proc 4th Int Conf Neural Inf Process Syst"},{"key":"ref2","article-title":"Explaining and harnessing adversarial examples","author":"goodfellow","year":"2015","journal-title":"Proc Int Conf Learn Representations"},{"key":"ref9","first-page":"854","article-title":"Parseval networks: Improving robustness to adversarial examples","author":"cisse","year":"2017","journal-title":"Proc 34th Int Conf Mach Learn"},{"key":"ref1","article-title":"Intriguing properties of neural networks","author":"szegedy","year":"2014","journal-title":"Proc Int Conf Learn Representations"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.282"},{"key":"ref22","article-title":"Obfuscated gradients give a false sense of security: Circumventing defenses to adversarial examples","author":"athalye","year":"2018","journal-title":"Proc 34th Int Conf Mach Learn"},{"key":"ref21","article-title":"EAD: Elastic-net attacks to deep neural networks via adversarial examples","author":"chen","year":"2018","journal-title":"Proc 32nd AAAI Conf Artif Intell"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/IJCNN.1991.155328"},{"key":"ref23","first-page":"240","article-title":"Sparse DNNs with improved adversarial robustness","author":"guo","year":"2018","journal-title":"Proc 32nd Int Conf Neural Inf Process Syst"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2015.123"},{"key":"ref25","first-page":"807","article-title":"Rectified linear units improve restricted boltzmann machines","author":"nair","year":"2010","journal-title":"Proc 34th Int Conf Mach Learn"}],"container-title":["IEEE Transactions on Pattern Analysis and Machine Intelligence"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/34\/9600479\/09133291.pdf?arnumber=9133291","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,5,10]],"date-time":"2022-05-10T14:49:12Z","timestamp":1652194152000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9133291\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,12,1]]},"references-count":31,"journal-issue":{"issue":"12"},"URL":"https:\/\/doi.org\/10.1109\/tpami.2020.3006917","relation":{},"ISSN":["0162-8828","2160-9292","1939-3539"],"issn-type":[{"value":"0162-8828","type":"print"},{"value":"2160-9292","type":"electronic"},{"value":"1939-3539","type":"electronic"}],"subject":[],"published":{"date-parts":[[2021,12,1]]}}}