{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,25]],"date-time":"2026-04-25T15:12:09Z","timestamp":1777129929350,"version":"3.51.4"},"reference-count":37,"publisher":"IEEE","license":[{"start":{"date-parts":[[2022,7,18]],"date-time":"2022-07-18T00:00:00Z","timestamp":1658102400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2022,7,18]],"date-time":"2022-07-18T00:00:00Z","timestamp":1658102400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"DOI":"10.13039\/100000015","name":"Department of Energy","doi-asserted-by":"publisher","award":["DE-NA0003946"],"award-info":[{"award-number":["DE-NA0003946"]}],"id":[{"id":"10.13039\/100000015","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100000001","name":"National Science Foundation","doi-asserted-by":"publisher","award":["1943552"],"award-info":[{"award-number":["1943552"]}],"id":[{"id":"10.13039\/100000001","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2022,7,18]]},"DOI":"10.1109\/ijcnn55064.2022.9892774","type":"proceedings-article","created":{"date-parts":[[2022,9,30]],"date-time":"2022-09-30T19:56:04Z","timestamp":1664567764000},"page":"1-8","source":"Crossref","is-referenced-by-count":10,"title":["Targeted Data Poisoning Attacks Against Continual Learning Neural Networks"],"prefix":"10.1109","author":[{"given":"Huayu","family":"Li","sequence":"first","affiliation":[{"name":"University of Arizona,Department of Electrical & Computer Engineering,Tucson,AZ,85721"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Gregory","family":"Ditzler","sequence":"additional","affiliation":[{"name":"University of Arizona,Department of Electrical & Computer Engineering,Tucson,AZ,85721"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref33","article-title":"Adaptive subgradient methods for online learning and stochastic optimization","volume":"12","author":"duchi","year":"2011","journal-title":"Journal of Machine Learning Research"},{"key":"ref32","article-title":"Adam: A method for stochastic optimization","author":"kingma","year":"2014","journal-title":"ArXiv Preprint"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1016\/S0893-6080(98)00116-6"},{"key":"ref30","article-title":"Unlearnable examples: Making personal data unexploitable","author":"huang","year":"2021","journal-title":"ArXiv Preprint"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1145\/3194770.3194776"},{"key":"ref36","article-title":"Stochastic neighbor embedding","volume":"15","author":"hinton","year":"0","journal-title":"Advances in neural information processing systems"},{"key":"ref35","author":"douillard","year":"2021","journal-title":"Continuum Simple management of complex continual learning scenarios"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00957"},{"key":"ref10","article-title":"Targeted backdoor attacks on deep learning systems using data poisoning","author":"chen","year":"2017","journal-title":"ArXiv Preprint"},{"key":"ref11","article-title":"Witches' brew: Industrial scale data poisoning via gradient matching","author":"geiping","year":"2020","journal-title":"ArXiv Preprint"},{"key":"ref12","article-title":"Poison frogs! targeted clean-label poisoning attacks on neural networks","author":"shafahi","year":"2018","journal-title":"ArXiv Preprint"},{"key":"ref13","first-page":"7614","article-title":"Transferable clean-label poisoning attacks on deep neural nets","author":"zhu","year":"2019","journal-title":"International Conference on Machine Learning"},{"key":"ref14","first-page":"27","article-title":"Towards poisoning of deep learning algorithms with back-gradient optimization","author":"mu\u00f1oz-gonz\u00e1lez","year":"0","journal-title":"Proceedings of the 10th ACM Workshop on Artificial Intelligence and Security"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/IJCNN48605.2020.9206809"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/IJCNN52387.2021.9533400"},{"key":"ref17","first-page":"6467","article-title":"Gradient episodic memory for continual learning","volume":"30","author":"lopez-paz","year":"0","journal-title":"Advances in neural information processing systems"},{"key":"ref18","article-title":"Efficient lifelong learning with a-gem","author":"chaudhry","year":"2018","journal-title":"ArXiv Preprint"},{"key":"ref19","article-title":"Continual learning with deep generative replay","author":"shin","year":"2017","journal-title":"ArXiv Preprint"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/SP.2017.49"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/5326.983933"},{"key":"ref27","article-title":"Explaining and harnessing adversarial examples","author":"goodfellow","year":"2014","journal-title":"ArXiv Preprint"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1016\/0893-6080(88)90021-4"},{"key":"ref6","article-title":"{ELLA}: An efficient lifelong learning algorithm","author":"ruvolo","year":"0","journal-title":"International Conference on Machine Learning"},{"key":"ref29","article-title":"Towards deep learning models resistant to adversarial attacks","author":"madry","year":"2017","journal-title":"ArXiv Preprint"},{"key":"ref5","article-title":"Early Ovarian Cancer Detection in Mice","author":"schwartz","year":"2021","journal-title":"Neural Computing and Applications"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/TETCI.2020.2968933"},{"key":"ref7","article-title":"Explaining and harnessing adversarial examples","author":"goodfellow","year":"0","journal-title":"International Conference on Learning Representations"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/MCI.2015.2471196"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/IJCNN.2018.8489495"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1016\/S0079-7421(08)60536-8"},{"key":"ref20","article-title":"Progressive neural networks","author":"rusu","year":"2016","journal-title":"ArXiv Preprint"},{"key":"ref22","doi-asserted-by":"crossref","first-page":"3521","DOI":"10.1073\/pnas.1611835114","article-title":"Overcoming catastrophic forgetting in neural networks","volume":"114","author":"kirkpatrick","year":"0","journal-title":"Proceedings of the National Academy of Sciences"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.753"},{"key":"ref24","first-page":"3987","article-title":"Continual learning through synaptic intelligence","author":"zenke","year":"2017","journal-title":"International Conference on Machine Learning"},{"key":"ref23","first-page":"4528","article-title":"Progress & compress: A scalable framework for continual learning","author":"schwarz","year":"2018","journal-title":"International Conference on Machine Learning"},{"key":"ref26","article-title":"Intriguing properties of neural networks","author":"szegedy","year":"2013","journal-title":"ArXiv Preprint"},{"key":"ref25","article-title":"Three scenarios for continual learning","author":"van de ven","year":"2019","journal-title":"ArXiv Preprint"}],"event":{"name":"2022 International Joint Conference on Neural Networks (IJCNN)","location":"Padua, Italy","start":{"date-parts":[[2022,7,18]]},"end":{"date-parts":[[2022,7,23]]}},"container-title":["2022 International Joint Conference on Neural Networks (IJCNN)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/9891857\/9889787\/09892774.pdf?arnumber=9892774","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,11,3]],"date-time":"2022-11-03T22:56:55Z","timestamp":1667516215000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9892774\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,7,18]]},"references-count":37,"URL":"https:\/\/doi.org\/10.1109\/ijcnn55064.2022.9892774","relation":{},"subject":[],"published":{"date-parts":[[2022,7,18]]}}}