{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,22]],"date-time":"2026-01-22T02:03:28Z","timestamp":1769047408096,"version":"3.49.0"},"reference-count":19,"publisher":"IEEE","license":[{"start":{"date-parts":[[2023,6,4]],"date-time":"2023-06-04T00:00:00Z","timestamp":1685836800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-009"},{"start":{"date-parts":[[2023,6,4]],"date-time":"2023-06-04T00:00:00Z","timestamp":1685836800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-001"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2023,6,4]]},"DOI":"10.1109\/icassp49357.2023.10095313","type":"proceedings-article","created":{"date-parts":[[2023,5,5]],"date-time":"2023-05-05T13:28:30Z","timestamp":1683293310000},"page":"1-5","source":"Crossref","is-referenced-by-count":3,"title":["POINTACL: Adversarial Contrastive Learning for Robust Point Clouds Representation Under Adversarial Attack"],"prefix":"10.1109","author":[{"given":"Junxuan","family":"Huang","sequence":"first","affiliation":[{"name":"University at Buffalo,Department of Computer Science and Engineering"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Junsong","family":"Yuan","sequence":"additional","affiliation":[{"name":"University at Buffalo,Department of Computer Science and Engineering"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Chunming","family":"Qiao","sequence":"additional","affiliation":[{"name":"University at Buffalo,Department of Computer Science and Engineering"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yatong","family":"An","sequence":"additional","affiliation":[{"name":"Xmotors.ai"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Cheng","family":"Lu","sequence":"additional","affiliation":[{"name":"Xmotors.ai"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Chen","family":"Bai","sequence":"additional","affiliation":[{"name":"Xmotors.ai"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref13","article-title":"Supervised contrastive learning","author":"khosla","year":"2020"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/3DIMPVT.2012.12"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/ICIP.2019.8803770"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.00078"},{"key":"ref11","article-title":"Lpf-defense: 3d adversarial defense based on frequency analysis","author":"naderi","year":"2022"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.00871"},{"key":"ref2","first-page":"14300","article-title":"Robust attribution regularization","author":"chen","year":"2019","journal-title":"Advances in neural information processing systems"},{"key":"ref1","article-title":"Towards deep learning models resistant to adversarial attacks","author":"madry","year":"2017"},{"key":"ref17","article-title":"3d shapenets: A deep representation for volumetric shapes","author":"wu","year":"2014"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.16"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.170"},{"key":"ref18","article-title":"Dynamic graph cnn for learning on point clouds","author":"wang","year":"2018"},{"key":"ref8","article-title":"When does contrastive learning preserve adversarial robustness from pretraining to finetuning?","author":"fan","year":"2021"},{"key":"ref7","article-title":"Robust pre-training by adversarial contrastive learning","author":"jiang","year":"2020"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2018.2858821"},{"key":"ref4","first-page":"3353","article-title":"Adversarial training for free!","author":"shafahi","year":"2019","journal-title":"Advances in neural information processing systems"},{"key":"ref3","article-title":"Proper network interpretability helps adversarial robustness in classification","author":"boopathy","year":"2020","journal-title":"ICML"},{"key":"ref6","article-title":"Adversarial self-supervised contrastive learning","author":"kim","year":"2020","journal-title":"Advances in neural information processing systems"},{"key":"ref5","article-title":"A simple framework for contrastive learning of visual representations","author":"chen","year":"2020"}],"event":{"name":"ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","location":"Rhodes Island, Greece","start":{"date-parts":[[2023,6,4]]},"end":{"date-parts":[[2023,6,10]]}},"container-title":["ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/10094559\/10094560\/10095313.pdf?arnumber=10095313","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,10,23]],"date-time":"2023-10-23T13:53:40Z","timestamp":1698069220000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10095313\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,6,4]]},"references-count":19,"URL":"https:\/\/doi.org\/10.1109\/icassp49357.2023.10095313","relation":{},"subject":[],"published":{"date-parts":[[2023,6,4]]}}}