{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,24]],"date-time":"2026-03-24T15:23:24Z","timestamp":1774365804315,"version":"3.50.1"},"reference-count":49,"publisher":"IEEE","license":[{"start":{"date-parts":[[2023,5,17]],"date-time":"2023-05-17T00:00:00Z","timestamp":1684281600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2023,5,17]],"date-time":"2023-05-17T00:00:00Z","timestamp":1684281600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"DOI":"10.13039\/100010002","name":"Ministry of Education","doi-asserted-by":"publisher","id":[{"id":"10.13039\/100010002","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100018735","name":"Ant Group","doi-asserted-by":"publisher","id":[{"id":"10.13039\/100018735","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2023,5,17]]},"DOI":"10.1109\/infocom53939.2023.10229092","type":"proceedings-article","created":{"date-parts":[[2023,8,29]],"date-time":"2023-08-29T17:40:43Z","timestamp":1693330843000},"page":"1-10","source":"Crossref","is-referenced-by-count":8,"title":["Mind Your Heart: Stealthy Backdoor Attack on Dynamic Deep Neural Network in Edge Computing"],"prefix":"10.1109","author":[{"given":"Tian","family":"Dong","sequence":"first","affiliation":[{"name":"Shanghai Jiao Tong University,China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Ziyuan","family":"Zhang","sequence":"additional","affiliation":[{"name":"Beijing University of Posts and Telecommunications,China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Han","family":"Qiu","sequence":"additional","affiliation":[{"name":"Tsinghua University and Zhongguancun Laboratory,China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Tianwei","family":"Zhang","sequence":"additional","affiliation":[{"name":"Nanyang Technological University,Singapore"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Hewu","family":"Li","sequence":"additional","affiliation":[{"name":"Tsinghua University and Zhongguancun Laboratory,China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Terry","family":"Wang","sequence":"additional","affiliation":[{"name":"Alibaba Group,China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref13","article-title":"Badnl: Backdoor attacks against nlp models","author":"chen","year":"2021","journal-title":"ICML 2021 Workshop on Adversarial Machine Learning"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/TDSC.2020.3021407"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2019.2909068"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/MSEC.2022.3181001"},{"key":"ref11","article-title":"Triple wins: Boosting accuracy, robustness and efficiency together by enabling input-adaptive inference","author":"hu","year":"2020","journal-title":"ICLRE"},{"key":"ref10","first-page":"18330","article-title":"Bert loses patience: Fast and robust inference with early exit","volume":"33","author":"zhou","year":"2020","journal-title":"Advances in neural information processing systems"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/SP.2019.00031"},{"key":"ref16","article-title":"Targeted attack against deep neural networks via flipping limited weight bits","author":"bai","year":"2021","journal-title":"ICLRE"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-58592-1_14"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1145\/3359789.3359790"},{"key":"ref46","article-title":"Reading digits in natural images with unsupervised feature learning","author":"netzer","year":"2011","journal-title":"NIPS Workshop on Deep Learning and Unsupervised Feature Learning"},{"key":"ref45","first-page":"3","article-title":"Tiny imagenet visual recognition challenge","volume":"7","author":"le","year":"2015","journal-title":"CS 231N"},{"key":"ref48","article-title":"Adam: A method for stochastic optimization","author":"kingma","year":"2014"},{"key":"ref47","doi-asserted-by":"publisher","DOI":"10.1109\/IJCNN.2013.6706807"},{"key":"ref42","article-title":"Very deep convolutional networks for large-scale image recognition","author":"simonyan","year":"2014"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.90"},{"key":"ref44","article-title":"Learning multiple layers of features from tiny images","author":"krizhevsky","year":"2009","journal-title":"Tech Rep"},{"key":"ref43","article-title":"Mobilenets: Efficient convolutional neural networks for mobile vision applications","author":"howard","year":"2017"},{"key":"ref49","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV48922.2021.01615"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1145\/3241539.3241559"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1145\/3372224.3419194"},{"key":"ref9","article-title":"Shallow-deep networks: Understanding and mitigating network overthinking","author":"kaya","year":"2019","journal-title":"ICML"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/ICDCS54860.2022.00052"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/TII.2021.3098010"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/INFOCOM.2019.8737614"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1145\/3195970.3199847"},{"key":"ref40","article-title":"Neural attention distillation: Erasing backdoor triggers from deep neural networks","author":"li","year":"2021","journal-title":"ICLRE"},{"key":"ref35","article-title":"Learning both weights and connections for efficient neural networks","author":"han","year":"2015","journal-title":"CoRR"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1145\/3372297.3423362"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1109\/ICASSP43922.2022.9747582"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00286"},{"key":"ref31","article-title":"Fingerprinting multi-exit deep neural network models via inference time","author":"dong","year":"2021"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1109\/JIOT.2020.3022358"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1145\/3460120.3484576"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1145\/3548606.3559359"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/INFOCOM.2018.8486241"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/INFOCOM42981.2021.9488833"},{"key":"ref39","article-title":"Quantization backdoors to deep learning commercial frameworks","author":"ma","year":"2021","journal-title":"CoRR"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1109\/TIFS.2022.3160359"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.3390\/info12100431"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1145\/3446382.3448359"},{"key":"ref26","article-title":"Dynamic split computing for efficient deep edge intelligence","author":"bakhtiarnia","year":"2022","journal-title":"ICML 2022 Workshop on Dynamic Neural Networks"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1145\/3517206.3526270"},{"key":"ref20","article-title":"Adversarial unlearning of backdoors via implicit hypergradient","author":"zeng","year":"2022","journal-title":"ICLRE"},{"key":"ref22","article-title":"Backdoor defense via decoupling the training process","author":"huang","year":"2022","journal-title":"ICLRE"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1145\/3433210.3453108"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/JIOT.2020.3004498"},{"key":"ref27","article-title":"Multi-scale dense networks for resource efficient image classification","author":"huang","year":"2018","journal-title":"ICLRE"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1145\/3359789.3359824"}],"event":{"name":"IEEE INFOCOM 2023 - IEEE Conference on Computer Communications","location":"New York City, NY, USA","start":{"date-parts":[[2023,5,17]]},"end":{"date-parts":[[2023,5,20]]}},"container-title":["IEEE INFOCOM 2023 - IEEE Conference on Computer Communications"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/10228851\/10228852\/10229092.pdf?arnumber=10229092","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,9,18]],"date-time":"2023-09-18T17:45:37Z","timestamp":1695059137000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10229092\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,5,17]]},"references-count":49,"URL":"https:\/\/doi.org\/10.1109\/infocom53939.2023.10229092","relation":{},"subject":[],"published":{"date-parts":[[2023,5,17]]}}}