{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,8,19]],"date-time":"2025-08-19T10:05:10Z","timestamp":1755597910397,"version":"3.41.0"},"reference-count":22,"publisher":"IEEE","license":[{"start":{"date-parts":[[2024,4,14]],"date-time":"2024-04-14T00:00:00Z","timestamp":1713052800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2024,4,14]],"date-time":"2024-04-14T00:00:00Z","timestamp":1713052800000},"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\/501100012226","name":"Fundamental Research Funds for the Central Universities","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100012226","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2024,4,14]]},"DOI":"10.1109\/icassp48485.2024.10447217","type":"proceedings-article","created":{"date-parts":[[2024,3,18]],"date-time":"2024-03-18T18:56:31Z","timestamp":1710788191000},"page":"4490-4494","source":"Crossref","is-referenced-by-count":1,"title":["Delving Deeper Into Vulnerable Samples in Adversarial Training"],"prefix":"10.1109","author":[{"given":"Pengfei","family":"Zhao","sequence":"first","affiliation":[{"name":"University of Science and Technology of China,School of Cyber Science and Technology,China"}]},{"given":"Haojie","family":"Yuan","sequence":"additional","affiliation":[{"name":"University of Science and Technology of China,School of Cyber Science and Technology,China"}]},{"given":"Qi","family":"Chu","sequence":"additional","affiliation":[{"name":"University of Science and Technology of China,School of Cyber Science and Technology,China"}]},{"given":"Shubin","family":"Xu","sequence":"additional","affiliation":[{"name":"University of Science and Technology of China,School of Cyber Science and Technology,China"}]},{"given":"Nenghai","family":"Yu","sequence":"additional","affiliation":[{"name":"University of Science and Technology of China,School of Cyber Science and Technology,China"}]}],"member":"263","reference":[{"article-title":"Obfuscated gradients give a false sense of security: Circumventing defenses to adversarial examples","volume-title":"International Conference on Machine Learning (ICML)","author":"Athalye","key":"ref1"},{"article-title":"Improving adversarial robustness requires revisiting misclassified examples","volume-title":"International Conference on Learning Representations (ICLR)","author":"Wang","key":"ref2"},{"article-title":"Geometryaware instance-reweighted adversarial training","volume-title":"International Conference on Learning Representations (ICLR)","author":"Zhang","key":"ref3"},{"journal-title":"Probabilistic margins for instance reweighting in adversarial training","year":"2021","author":"Wang","key":"ref4"},{"key":"ref5","first-page":"7472","article-title":"Theoretically principled trade-off between robustness and accuracy","volume-title":"International Conference on Machine Learning (ICML)","author":"Zhang"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/SP.2017.49"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-01231-1_17"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-46478-7_31"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.713"},{"article-title":"A simple framework for contrastive learning of visual representations","volume-title":"International Conference on Machine Learning (ICML)","author":"Chen","key":"ref10"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.00975"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/ICCVW.2019.00330"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.48550\/ARXIV.1706.06083"},{"key":"ref14","first-page":"20297","article-title":"Guided adversarial attack for evaluating and enhancing adversarial defenses","volume-title":"Advances in Neural Information Processing Systems (NeurIPS)","volume":"33","author":"Sriramanan"},{"key":"ref15","first-page":"2206","article-title":"Reliable evaluation of adversarial robustness with an ensemble of diverse parameter-free attacks","volume-title":"International Conference on Machine Learning (ICML)","author":"Croce"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1049\/cit2.12028"},{"key":"ref17","first-page":"11278","article-title":"Attacks which do not kill training make adversarial learning stronger","volume-title":"International Conference on Machine Learning (ICML)","author":"Zhang"},{"key":"ref18","first-page":"2958","volume":"33","author":"Wu","year":"2020","journal-title":"Adversarial weight perturbation helps robust generalization"},{"journal-title":"Learning multiple layers of features from tiny images","year":"2009","author":"Krizhevsky","key":"ref19"},{"key":"ref20","article-title":"Data augmentation can improve robustness","volume-title":"Advances in Neural Information Processing Systems (NeurIPS)","volume":"34","author":"Rebuffi"},{"article-title":"Self-ensemble adversarial training for improved robustness","volume-title":"International Conference on Learning Representations (ICLR)","author":"Wang","key":"ref21"},{"journal-title":"Reading digits in natural images with unsupervised feature learning","year":"2011","author":"Netzer","key":"ref22"}],"event":{"name":"ICASSP 2024 - 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","start":{"date-parts":[[2024,4,14]]},"location":"Seoul, Korea, Republic of","end":{"date-parts":[[2024,4,19]]}},"container-title":["ICASSP 2024 - 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/10445798\/10445803\/10447217.pdf?arnumber=10447217","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,6]],"date-time":"2025-06-06T17:38:44Z","timestamp":1749231524000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10447217\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,4,14]]},"references-count":22,"URL":"https:\/\/doi.org\/10.1109\/icassp48485.2024.10447217","relation":{},"subject":[],"published":{"date-parts":[[2024,4,14]]}}}