{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,14]],"date-time":"2026-04-14T15:53:59Z","timestamp":1776182039644,"version":"3.50.1"},"reference-count":25,"publisher":"IEEE","license":[{"start":{"date-parts":[[2022,12,4]],"date-time":"2022-12-04T00:00:00Z","timestamp":1670112000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2022,12,4]],"date-time":"2022-12-04T00:00:00Z","timestamp":1670112000000},"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":[[2022,12,4]]},"DOI":"10.1109\/globecom48099.2022.10000751","type":"proceedings-article","created":{"date-parts":[[2023,1,11]],"date-time":"2023-01-11T17:24:18Z","timestamp":1673457858000},"page":"2710-2715","source":"Crossref","is-referenced-by-count":13,"title":["A Temporal-Pattern Backdoor Attack to Deep Reinforcement Learning"],"prefix":"10.1109","author":[{"given":"Yinbo","family":"Yu","sequence":"first","affiliation":[{"name":"Research &#x0026; Development Institute of Northwestern Polytechnical University in Shenzhen,Shenzhen,China,518057"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jiajia","family":"Liu","sequence":"additional","affiliation":[{"name":"School of Cybersecurity, Northwestern Polytechnical University,Xi&#x0027;an,China,710072"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Shouqing","family":"Li","sequence":"additional","affiliation":[{"name":"Academy of Industrial Internet, Shaanxi Branch of China United Network Communications Group Co., Ltd.,Xi&#x0027;an,China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Kepu","family":"Huang","sequence":"additional","affiliation":[{"name":"School of Cybersecurity, Northwestern Polytechnical University,Xi&#x0027;an,China,710072"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Xudong","family":"Feng","sequence":"additional","affiliation":[{"name":"School of Cybersecurity, Northwestern Polytechnical University,Xi&#x0027;an,China,710072"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref13","article-title":"Backdoor attacks and countermeasures on deep learning: A comprehensive review","author":"gao","year":"2020","journal-title":"ArXiv Preprint"},{"key":"ref12","article-title":"Design of intentional backdoors in sequential models","author":"yang","year":"2019","journal-title":"ArXiv Preprint"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.24963\/ijcai.2021\/509"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/TIFS.2021.3114024"},{"key":"ref11","article-title":"POMDPs make better hackers: Accounting for uncertainty in penetration testing","author":"sarraute","year":"2012","journal-title":"AAAI"},{"key":"ref10","first-page":"1","article-title":"Safe reinforcement learning for autonomous vehicle using monte carlo tree search","author":"mo","year":"2021","journal-title":"IEEE TITS"},{"key":"ref2","article-title":"Backdoor learning: A survey","author":"li","year":"2020","journal-title":"ArXiv Preprint"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/COMST.2019.2916583"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1145\/3359789.3359790"},{"key":"ref16","article-title":"Spectral signatures in backdoor attacks","volume":"31","author":"tran","year":"2018","journal-title":"NeurIPS"},{"key":"ref19","article-title":"Backdoor detection in reinforcement learning","author":"guo","year":"2022","journal-title":"ArXiv Preprint"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/SP.2019.00031"},{"key":"ref24","article-title":"Deep adversarial imitation reinforcement learning for QoS-aware cloud job scheduling","author":"huang","year":"2021","journal-title":"IEEE Systems Journal"},{"key":"ref23","first-page":"11 365","article-title":"Do RNN and LSTM have long memory?","author":"zhao","year":"2020","journal-title":"ICML"},{"key":"ref25","article-title":"Detecting backdoor attacks on deep neural networks by activation clustering","author":"chen","year":"2018","journal-title":"ArXiv Preprint"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/JSAC.2021.3087237"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1145\/3098822.3098843"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2018.2872674"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/GLOBECOM42002.2020.9322150"},{"key":"ref7","first-page":"2117","article-title":"Deep variational reinforcement learning for POMDPs","author":"igl","year":"2018","journal-title":"ICML"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/TC.2020.2969148"},{"key":"ref4","article-title":"Poisoning deep reinforcement learning agents with in-distribution triggers","author":"ashcraft","year":"2021","journal-title":"ICLR Workshop"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/DAC18072.2020.9218663"},{"key":"ref6","article-title":"Deep recurrent q-learning for partially observable mdps","author":"hausknecht","year":"2015","journal-title":"AAAI"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1016\/S0004-3702(98)00023-X"}],"event":{"name":"GLOBECOM 2022 - 2022 IEEE Global Communications Conference","location":"Rio de Janeiro, Brazil","start":{"date-parts":[[2022,12,4]]},"end":{"date-parts":[[2022,12,8]]}},"container-title":["GLOBECOM 2022 - 2022 IEEE Global Communications Conference"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/10000063\/10000593\/10000751.pdf?arnumber=10000751","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,2,7]],"date-time":"2023-02-07T14:20:16Z","timestamp":1675779616000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10000751\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,12,4]]},"references-count":25,"URL":"https:\/\/doi.org\/10.1109\/globecom48099.2022.10000751","relation":{},"subject":[],"published":{"date-parts":[[2022,12,4]]}}}