{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,10,30]],"date-time":"2024-10-30T01:00:25Z","timestamp":1730250025289,"version":"3.28.0"},"reference-count":27,"publisher":"IEEE","license":[{"start":{"date-parts":[[2024,7,15]],"date-time":"2024-07-15T00:00:00Z","timestamp":1721001600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2024,7,15]],"date-time":"2024-07-15T00:00:00Z","timestamp":1721001600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100006407","name":"Natural Science Foundation of Henan Province","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100006407","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2024,7,15]]},"DOI":"10.1109\/icme57554.2024.10687962","type":"proceedings-article","created":{"date-parts":[[2024,9,30]],"date-time":"2024-09-30T17:24:16Z","timestamp":1727717056000},"page":"1-6","source":"Crossref","is-referenced-by-count":0,"title":["Defending Against Backdoor Attacks via Region Growing and Diffusion Model"],"prefix":"10.1109","author":[{"given":"Haoquan","family":"Wang","sequence":"first","affiliation":[{"name":"Nanchang University,School of Software,Nanchang,China"}]},{"given":"Shengbo","family":"Chen","sequence":"additional","affiliation":[{"name":"Henan University,School of Computer and Information Engineering,Kaifeng,China"}]},{"given":"Xijun","family":"Wang","sequence":"additional","affiliation":[{"name":"Sun Yat-sen University,School of Electronics and Information Technology,Guangzhou,China"}]},{"given":"Hong","family":"Rao","sequence":"additional","affiliation":[{"name":"Nanchang University,School of Software,Nanchang,China"}]},{"given":"Yong","family":"Chen","sequence":"additional","affiliation":[{"name":"Nanchang University,School of Software,Nanchang,China"}]}],"member":"263","reference":[{"article-title":"Dba: Distributed backdoor attacks against federated learning","volume-title":"International conference on learning representations","author":"Xie","key":"ref1"},{"key":"ref2","first-page":"634","article-title":"Analyzing federated learning through an adversarial lens","volume-title":"International Conference on Machine Learning","author":"Bhagoji"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52688.2022.00988"},{"key":"ref4","article-title":"Deep leakage from gradients","volume":"32","author":"Zhu","year":"2019","journal-title":"Advances in neural information processing systems"},{"key":"ref5","first-page":"1273","article-title":"Communication-efficient learning of deep networks from decentralized data","volume-title":"Artificial intelligence and statistics","author":"McMahan","year":"2017"},{"key":"ref6","article-title":"Federated multi-task learning","volume":"30","author":"Smith","year":"2017","journal-title":"Advances in neural information processing systems"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1561\/9781680837896"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/TII.2021.3112100"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1145\/3534678.3539231"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.14722\/ndss.2022.23156"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/ICASSP43922.2022.9747653"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1023\/A:1008163913937"},{"key":"ref13","first-page":"6840","article-title":"Denoising diffusion probabilistic models","volume":"33","author":"Ho","year":"2020","journal-title":"Advances in neural information processing systems"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/ICCD.2017.16"},{"key":"ref15","article-title":"Spectral signatures in backdoor attacks","volume":"31","author":"Tran","year":"2018","journal-title":"Advances in neural information processing systems"},{"article-title":"Denoising diffusion implicit models","year":"2020","author":"Song","key":"ref16"},{"key":"ref17","first-page":"8162","article-title":"Improved denoising diffusion probabilistic models","volume-title":"International conference on machine learning","author":"Nichol"},{"key":"ref18","first-page":"8780","article-title":"Diffusion models beat gans on image synthesis","volume":"34","author":"Dhariwal","year":"2021","journal-title":"Advances in neural information processing systems"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52688.2022.01117"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV48922.2021.01615"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.90"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1177\/0032258x8005300111"},{"article-title":"Mitigating sybils in federated learning poisoning","year":"2018","author":"Fung","key":"ref23"},{"key":"ref24","first-page":"5650","article-title":"Byzantine-robust distributed learning: Towards optimal statistical rates","volume-title":"International Conference on Machine Learning","author":"Yin"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v35i10.17118"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/TSP.2022.3153135"},{"key":"ref27","first-page":"1415","article-title":"{FLAME}: Taming backdoors in federated learning","volume-title":"31st USENIX Security Symposium (USENIX Security 22)","author":"Nguyen"}],"event":{"name":"2024 IEEE International Conference on Multimedia and Expo (ICME)","start":{"date-parts":[[2024,7,15]]},"location":"Niagara Falls, ON, Canada","end":{"date-parts":[[2024,7,19]]}},"container-title":["2024 IEEE International Conference on Multimedia and Expo (ICME)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/10685847\/10687354\/10687962.pdf?arnumber=10687962","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,10,1]],"date-time":"2024-10-01T06:37:22Z","timestamp":1727764642000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10687962\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,7,15]]},"references-count":27,"URL":"https:\/\/doi.org\/10.1109\/icme57554.2024.10687962","relation":{},"subject":[],"published":{"date-parts":[[2024,7,15]]}}}