{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,26]],"date-time":"2026-02-26T15:29:29Z","timestamp":1772119769709,"version":"3.50.1"},"reference-count":35,"publisher":"IEEE","license":[{"start":{"date-parts":[[2024,5,23]],"date-time":"2024-05-23T00:00:00Z","timestamp":1716422400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2024,5,23]],"date-time":"2024-05-23T00:00:00Z","timestamp":1716422400000},"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":[[2024,5,23]]},"DOI":"10.1109\/eais58494.2024.10569101","type":"proceedings-article","created":{"date-parts":[[2024,6,26]],"date-time":"2024-06-26T17:55:01Z","timestamp":1719424501000},"page":"1-8","source":"Crossref","is-referenced-by-count":7,"title":["Topological Adversarial Attacks on Graph Neural Networks Via Projected Meta Learning"],"prefix":"10.1109","author":[{"given":"Mohammed","family":"Aburidi","sequence":"first","affiliation":[{"name":"University of California Merced,Department of Applied Mathematics,Merced,CA,USA,95343"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Roummel","family":"Marcia","sequence":"additional","affiliation":[{"name":"University of California Merced,Department of Applied Mathematics,Merced,CA,USA,95343"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref1","article-title":"Semi-supervised classification with graph convolutional networks","volume":"abs\/1609.02907","author":"Kipf","year":"2016","journal-title":"CoRR"},{"key":"ref2","article-title":"Graph attention networks","author":"Veli\u010dkovi\u0107","year":"2018"},{"key":"ref3","article-title":"How powerful are graph neural networks?","author":"Xu","year":"2019"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/AIMHC59811.2024.00029"},{"key":"ref5","article-title":"Optimal transport-based graph kernels for drug property prediction","volume-title":"Scientific reports","author":"Aburidi","year":"2024"},{"key":"ref6","article-title":"Inductive representation learning on large graphs","author":"Hamilton","year":"2018"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/ICIP49359.2023.10222290"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/ICMLA58977.2023.00049"},{"key":"ref9","article-title":"Adversarial attack on graph structured data","volume":"abs\/1806.02371","author":"Dai","year":"2018","journal-title":"CoRR"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/TSP.2016.2550005"},{"key":"ref11","article-title":"Adversarial attacks and defences: A survey","volume":"abs\/1810.00069","author":"Chakraborty","year":"2018","journal-title":"CoRR"},{"key":"ref12","article-title":"The vulnerabilities of graph convolutional networks: Stronger attacks and defensive techniques","volume":"abs\/1903.01610","author":"Wu","year":"2019","journal-title":"ArXiv"},{"key":"ref13","article-title":"Adversarial attacks on graph neural networks via meta learning","volume-title":"International Conference on Learning Representations","author":"Z\u00fcgner"},{"key":"ref14","article-title":"Neural message passing for quantum chemistry","volume":"abs\/1704.01212","author":"Gilmer","year":"2017","journal-title":"CoRR"},{"key":"ref15","article-title":"Adversarial attacks and defenses in images, graphs and text: A review","volume":"abs\/1909.08072","author":"Xu","year":"2019","journal-title":"CoRR"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1162\/089976600300015187"},{"key":"ref17","article-title":"Fast gradient attack on network embedding","author":"Chen","year":"2018"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.24963\/ijcai.2019\/550"},{"key":"ref19","article-title":"Explaining and harnessing adversarial examples","author":"Goodfellow","year":"2015"},{"key":"ref20","article-title":"GA based q-attack on community detection","volume":"abs\/1811.00430","author":"Chen","year":"2018","journal-title":"CoRR"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1145\/3219819.3220078"},{"key":"ref22","article-title":"Node injection attacks on graphs via reinforcement learning","volume":"abs\/1909.06543","author":"Sun","year":"2019","journal-title":"CoRR"},{"key":"ref23","article-title":"Attacking graph convolutional networks via rewiring","volume":"abs\/1906.03750","author":"Ma","year":"2019","journal-title":"CoRR"},{"key":"ref24","article-title":"Adversarial attacks on node embeddings","volume":"abs\/1809.01093","author":"Bojchevski","year":"2018","journal-title":"CoRR"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/ICDE53745.2022.00081"},{"key":"ref26","article-title":"The general black-box attack method for graph neural networks","volume":"abs\/1908.01297","author":"Chang","year":"2019","journal-title":"ArXiv"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1109\/tpami.2018.2858826"},{"key":"ref28","doi-asserted-by":"crossref","DOI":"10.1109\/ICMI60790.2024.10586025","article-title":"Adversarial attack and training for graph convolutional networks using focal loss-projected momentum","volume-title":"2024 3rd IEEE International Conference on Computing and Machine Intelligence (ICMI)","author":"Aburidi"},{"key":"ref29","article-title":"Improving neural networks by preventing co-adaptation of feature detectors","author":"Hinton","year":"2012"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1017\/CBO9780511804441"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1023\/A:1009953814988"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1609\/aimag.v29i3.2157"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1145\/1134271.1134277"},{"key":"ref34","article-title":"Deeprobust: A pytorch library for adversarial attacks and defenses","volume":"abs\/2005.06149","author":"Li","year":"2020","journal-title":"CoRR"},{"key":"ref35","article-title":"Hiding individuals and communities in a social network","volume":"abs\/1608.00375","author":"Waniek","year":"2016","journal-title":"CoRR"}],"event":{"name":"2024 IEEE International Conference on Evolving and Adaptive Intelligent Systems (EAIS)","location":"Madrid, Spain","start":{"date-parts":[[2024,5,23]]},"end":{"date-parts":[[2024,5,24]]}},"container-title":["2024 IEEE International Conference on Evolving and Adaptive Intelligent Systems (EAIS)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/10569136\/10569095\/10569101.pdf?arnumber=10569101","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,11,22]],"date-time":"2024-11-22T20:25:51Z","timestamp":1732307151000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10569101\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,5,23]]},"references-count":35,"URL":"https:\/\/doi.org\/10.1109\/eais58494.2024.10569101","relation":{},"subject":[],"published":{"date-parts":[[2024,5,23]]}}}