{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,11]],"date-time":"2026-06-11T22:56:42Z","timestamp":1781218602452,"version":"3.54.1"},"publisher-location":"New York, NY, USA","reference-count":13,"publisher":"ACM","license":[{"start":{"date-parts":[[2026,6,15]],"date-time":"2026-06-15T00:00:00Z","timestamp":1781481600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/legalcode"}],"funder":[{"name":"National Natural Science Foundation of China","award":["62272477"],"award-info":[{"award-number":["62272477"]}]}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2026,6,15]]},"DOI":"10.1145\/3814943.3816178","type":"proceedings-article","created":{"date-parts":[[2026,6,11]],"date-time":"2026-06-11T22:06:32Z","timestamp":1781215592000},"page":"70-74","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":0,"title":["CVS: A Metric for Security-Aware Compilation against Side-Channel Attacks in Edge SoCs (WIP)"],"prefix":"10.1145","author":[{"ORCID":"https:\/\/orcid.org\/0009-0004-1504-8338","authenticated-orcid":false,"given":"Yi","family":"Han","sequence":"first","affiliation":[{"name":"National University of Defense Technology, Changsha, China"},{"name":"Key Laboratory of Advanced Microprocessor Chips and Systems, Changsha, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0009-0002-6853-7739","authenticated-orcid":false,"given":"Puhong","family":"Lei","sequence":"additional","affiliation":[{"name":"Hunan Greatwall Galaxy Science and Technology, Changsha, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-5786-3171","authenticated-orcid":false,"given":"Yang","family":"Shi","sequence":"additional","affiliation":[{"name":"National University of Defense Technology, Changsha, China"},{"name":"Key Laboratory of Advanced Microprocessor Chips and Systems, Changsha, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-6839-6054","authenticated-orcid":false,"given":"Zhe","family":"Li","sequence":"additional","affiliation":[{"name":"National University of Defense Technology, Changsha, China"},{"name":"Key Laboratory of Advanced Microprocessor Chips and Systems, Changsha, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-1438-2455","authenticated-orcid":false,"given":"Xing","family":"Mou","sequence":"additional","affiliation":[{"name":"National University of Defense Technology, Changsha, China"},{"name":"Key Laboratory of Advanced Microprocessor Chips and Systems, Changsha, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-0734-1660","authenticated-orcid":false,"given":"Jianjun","family":"Chen","sequence":"additional","affiliation":[{"name":"National University of Defense Technology, Changsha, China"},{"name":"Key Laboratory of Advanced Microprocessor Chips and Systems, Changsha, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-9556-5535","authenticated-orcid":false,"given":"Yaohua","family":"Wang","sequence":"additional","affiliation":[{"name":"National University of Defense Technology, Changsha, China"},{"name":"Key Laboratory of Advanced Microprocessor Chips and Systems, Changsha, China"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"320","published-online":{"date-parts":[[2026,6,15]]},"reference":[{"key":"e_1_3_2_1_1_1","first-page":"515","volume-title":"CSI NN: Reverse Engineering of Neural Network Architectures Through Electromagnetic Side Channel. In 28th USENIX Security Symposium (USENIX Security 19)","author":"Batina Lejla","year":"2019","unstructured":"Lejla Batina, Shivam Bhasin, Dirmanto Jap, and Stjepan Picek. 2019. CSI NN: Reverse Engineering of Neural Network Architectures Through Electromagnetic Side Channel. In 28th USENIX Security Symposium (USENIX Security 19). USENIX Association, 515-532. https:\/\/www. usenix.org\/conference\/usenixsecurity19\/presentation\/batina"},{"key":"e_1_3_2_1_2_1","doi-asserted-by":"publisher","DOI":"10.48550\/ARXIV.2509.11173"},{"key":"e_1_3_2_1_3_1","first-page":"578","volume-title":"TVM: An Automated End-to-End Optimizing Compiler for Deep Learning. In 13th USENIX Symposium on Operating Systems Design and Implementation (OSDI 18)","author":"Chen Tianqi","year":"2018","unstructured":"Tianqi Chen, Thierry Moreau, Ziheng Jiang, Lianmin Zheng, Eddie Yan, Haichen Shen, Meghan Cowan, Leyuan Wang, Yuwei Hu, Luis Ceze, Carlos Guestrin, and Arvind Krishnamurthy. 2018. TVM: An Automated End-to-End Optimizing Compiler for Deep Learning. In 13th USENIX Symposium on Operating Systems Design and Implementation (OSDI 18). USENIX Association, 578-594. https: \/\/www.usenix.org\/conference\/osdi18\/presentation\/chen"},{"key":"e_1_3_2_1_4_1","doi-asserted-by":"publisher","DOI":"10.23919\/DATE64628.2025.10992919"},{"key":"e_1_3_2_1_5_1","first-page":"3403","volume-title":"SoK: Neural Network Extraction Through Physical Side Channels. In 33rd USENIX Security Symposium (USENIX Security 24)","author":"Horv\u00e1th P\u00e9ter","year":"2024","unstructured":"P\u00e9ter Horv\u00e1th, Dirk Lauret, Zhuoran Liu, and Lejla Batina. 2024. SoK: Neural Network Extraction Through Physical Side Channels. In 33rd USENIX Security Symposium (USENIX Security 24). USENIX Association, 3403-3422. https:\/\/www.usenix.org\/conference\/ usenixsecurity24\/presentation\/horvath"},{"key":"e_1_3_2_1_6_1","doi-asserted-by":"publisher","DOI":"10.1145\/3373376.3378460"},{"key":"e_1_3_2_1_7_1","doi-asserted-by":"publisher","DOI":"10.1109\/DAC.2018.8465773"},{"key":"e_1_3_2_1_8_1","doi-asserted-by":"publisher","DOI":"10.1145\/3658644.3690241"},{"key":"e_1_3_2_1_9_1","doi-asserted-by":"publisher","DOI":"10.1109\/FCCM53951.2022.9786112"},{"key":"e_1_3_2_1_10_1","unstructured":"ONNX Community. 2026. ONNX Model Zoo. https:\/\/github.com\/ onnx\/models."},{"key":"e_1_3_2_1_11_1","doi-asserted-by":"publisher","DOI":"10.1109\/TCAD.2024.3389554"},{"key":"e_1_3_2_1_12_1","first-page":"2003","volume-title":"29th USENIX Security Symposium (USENIX Security 20)","author":"Yan Mengjia","year":"2020","unstructured":"Mengjia Yan, Christopher W. Fletcher, and Josep Torrellas. 2020. Cache Telepathy: Leveraging Shared Resource Attacks to Learn DNN Architectures. In 29th USENIX Security Symposium (USENIX Security 20). USENIX Association, 2003-2020. https:\/\/www.usenix.org\/conference\/ usenixsecurity20\/presentation\/yan"},{"key":"e_1_3_2_1_13_1","doi-asserted-by":"publisher","DOI":"10.1145\/3575693.3575738"}],"event":{"name":"LCTES '26: 27th ACM SIGPLAN\/SIGBED International Conference on Languages, Compilers, and Tools for Embedded Systems","location":"Boulder CO USA","acronym":"LCTES '26","sponsor":["SIGPLAN ACM Special Interest Group on Programming Languages","SIGBED ACM Special Interest Group on Embedded Systems"]},"container-title":["Proceedings of the 27th ACM SIGPLAN\/SIGBED International Conference on Languages, Compilers, and Tools for Embedded Systems"],"original-title":[],"deposited":{"date-parts":[[2026,6,11]],"date-time":"2026-06-11T22:07:25Z","timestamp":1781215645000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3814943.3816178"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026,6,15]]},"references-count":13,"alternative-id":["10.1145\/3814943.3816178","10.1145\/3814943"],"URL":"https:\/\/doi.org\/10.1145\/3814943.3816178","relation":{},"subject":[],"published":{"date-parts":[[2026,6,15]]},"assertion":[{"value":"2026-06-15","order":3,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}