{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,16]],"date-time":"2026-02-16T16:53:08Z","timestamp":1771260788368,"version":"3.50.1"},"publisher-location":"New York, NY, USA","reference-count":14,"publisher":"ACM","license":[{"start":{"date-parts":[[2024,5,10]],"date-time":"2024-05-10T00:00:00Z","timestamp":1715299200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"funder":[{"name":"the National Natural Science Foundation of China","award":["62062026"],"award-info":[{"award-number":["62062026"]}]},{"name":"the Key Research and Development Program of Guangxi in China","award":["guike AB23026131"],"award-info":[{"award-number":["guike AB23026131"]}]}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2024,5,10]]},"DOI":"10.1145\/3665348.3665388","type":"proceedings-article","created":{"date-parts":[[2024,7,3]],"date-time":"2024-07-03T18:25:40Z","timestamp":1720031140000},"page":"229-234","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":1,"title":["Side Channel Attacks Based on Densely Connected Convolutional Networks with Attention Mechanism"],"prefix":"10.1145","author":[{"ORCID":"https:\/\/orcid.org\/0009-0000-7773-7324","authenticated-orcid":false,"given":"Runlian","family":"Zhang","sequence":"first","affiliation":[{"name":"Guangxi Key Laboratory of Cryptography and Information Security Guilin University of Electronic Technology Guilin, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0009-0008-4507-4165","authenticated-orcid":false,"given":"Minghui","family":"Hou","sequence":"additional","affiliation":[{"name":"Guangxi Key Laboratory of Cryptography and Information Security Guilin University of Electronic Technology Guilin, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0009-0008-3765-9235","authenticated-orcid":false,"given":"Wentao","family":"Cheng","sequence":"additional","affiliation":[{"name":"Guangxi Key Laboratory of Cryptography and Information Security Guilin University of Electronic Technology Guilin, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0009-0003-3045-6455","authenticated-orcid":false,"given":"Xiaonian","family":"Wu","sequence":"additional","affiliation":[{"name":"Guangxi Key Laboratory of Cryptography and Information Security Guilin University of Electronic Technology Guilin, China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"320","published-online":{"date-parts":[[2024,7,3]]},"reference":[{"key":"e_1_3_2_1_1_1","first-page":"1","article-title":"A novel non-profiled side channel attack based on multi-output regression neural network[J]","volume":"2023","author":"N T","unstructured":"Do N T, Hoang V P, Doan V S. A novel non-profiled side channel attack based on multi-output regression neural network[J]. Journal of Cryptographic Engineering, 2023: 1-13.","journal-title":"Journal of Cryptographic Engineering"},{"key":"e_1_3_2_1_2_1","first-page":"85","volume-title":"TCHES","volume":"2020","author":"Hoang A.-T.","year":"2020","unstructured":"A.-T. Hoang, N. Hanley, and M. O'Neill, \"Plaintext: A Missing Feature for Enhancing the Power of Deep Learning in Side-Channel Analysis? Breaking multiple layers of side-channel countermeasures\", TCHES, vol. 2020, no. 4, pp. 49\u201385, Aug. 2020."},{"issue":"2","key":"e_1_3_2_1_3_1","first-page":"308","article-title":"Side-channel Attacks Based on CBAPD Network","volume":"9","author":"Dong Z.","year":"2022","unstructured":"Z. Dong, L. Ya-Ning, and Z. Mei-Ling, \"Side-channel Attacks Based on CBAPD Network,\" Journal of Cryptologic Research, 2022, vol. 9, no. 2, pp. 308\u2013321.","journal-title":"Journal of Cryptologic Research"},{"key":"e_1_3_2_1_4_1","doi-asserted-by":"publisher","DOI":"10.3390\/math11153265"},{"key":"e_1_3_2_1_5_1","first-page":"397","article-title":"To overfit, or not to overfit: improving the performance of deep learning-based SCA","author":"Rezaeezade A.","year":"2022","unstructured":"A. Rezaeezade, G. Perin, and S. Picek, \"To overfit, or not to overfit: improving the performance of deep learning-based SCA,\" in International Conference on Cryptology in Africa, 2022, pp. 397\u2013421.","journal-title":"International Conference on Cryptology in Africa"},{"key":"e_1_3_2_1_6_1","first-page":"11","volume-title":"Reliability and Security","author":"Gupta P.","year":"2023","unstructured":"P. Gupta, J. P. Drees, E. H\u00fcllermeier, \"Automated side-channel attacks using black-box neural architecture search,\" in Proceedings of the 18th International Conference on Availability, Reliability and Security, 2023, pp. 1\u201311."},{"key":"e_1_3_2_1_7_1","first-page":"1","article-title":"AutoPOI: automated points of interest selection for side-channel analysis","author":"Remmerswaal M. G.","year":"2023","unstructured":"M. G. Remmerswaal, L. Wu, S. Tiran, and N. Mentens, \"AutoPOI: automated points of interest selection for side-channel analysis,\" Journal of Cryptographic Engineering, 2023, pp. 1\u201312.","journal-title":"Journal of Cryptographic Engineering"},{"key":"e_1_3_2_1_8_1","first-page":"770","article-title":"Deep residual learning for image recognition","author":"He K.","year":"2016","unstructured":"K. He, X. Zhang, S. Ren, and J. Sun, \"Deep residual learning for image recognition,\" in Proceedings of the IEEE conference on computer vision and pattern recognition, 2016, pp. 770\u2013778.","journal-title":"Proceedings of the IEEE conference on computer vision and pattern recognition"},{"key":"e_1_3_2_1_9_1","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-01234-2_1"},{"key":"e_1_3_2_1_10_1","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2022.3211006"},{"key":"e_1_3_2_1_11_1","first-page":"1161","article-title":"EPSANet: An efficient pyramid squeeze attention block on convolutional neural network","author":"Zhang H.","year":"2022","unstructured":"H. Zhang, K. Zu, J. Lu, Y. Zou, , \"EPSANet: An efficient pyramid squeeze attention block on convolutional neural network,\" in Proceedings of the Asian Conference on Computer Vision, 2022, pp. 1161\u20131177.","journal-title":"Proceedings of the Asian Conference on Computer Vision"},{"key":"e_1_3_2_1_12_1","first-page":"815","article-title":"On the integration of self-attention and convolution","author":"Pan X.","year":"2022","unstructured":"X. Pan, C. Ge, R. Lu, , \"On the integration of self-attention and convolution,\" in Proceedings of the IEEE\/CVF conference on computer vision and pattern recognition, 2022, pp. 815\u2013825.","journal-title":"Proceedings of the IEEE\/CVF conference on computer vision and pattern recognition"},{"key":"e_1_3_2_1_13_1","first-page":"439","volume-title":"Strengthening profiled side channel attacks on AES via multi-view information aggregation,\" in 2021 17th International Conference on Computational Intelligence and Security (CIS)","author":"An S.","year":"2021","unstructured":"S. An, J. Liu, X. Duan, M. Zheng, and H. Hu, \"Strengthening profiled side channel attacks on AES via multi-view information aggregation,\" in 2021 17th International Conference on Computational Intelligence and Security (CIS), 2021, pp. 435\u2013439."},{"key":"e_1_3_2_1_14_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.mejo.2023.105901"}],"event":{"name":"GAIIS 2024: 2024 International Conference on Generative Artificial Intelligence and Information Security","location":"Kuala Lumpur Malaysia","acronym":"GAIIS 2024"},"container-title":["Proceedings of the 2024 International Conference on Generative Artificial Intelligence and Information Security"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3665348.3665388","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3665348.3665388","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,8,22]],"date-time":"2025-08-22T16:21:33Z","timestamp":1755879693000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3665348.3665388"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,5,10]]},"references-count":14,"alternative-id":["10.1145\/3665348.3665388","10.1145\/3665348"],"URL":"https:\/\/doi.org\/10.1145\/3665348.3665388","relation":{},"subject":[],"published":{"date-parts":[[2024,5,10]]},"assertion":[{"value":"2024-07-03","order":3,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}