{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,12,22]],"date-time":"2025-12-22T22:32:09Z","timestamp":1766442729519,"version":"3.48.0"},"publisher-location":"New York, NY, USA","reference-count":79,"publisher":"ACM","funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["62172238"],"award-info":[{"award-number":["62172238"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"name":"NSF grants","award":["2312185, 2417055"],"award-info":[{"award-number":["2312185, 2417055"]}]},{"name":"Google Research Scholar Award"},{"name":"National Key R&D Program of China for Cyberspace Governance Special Fund","award":["2021YFB3101701"],"award-info":[{"award-number":["2021YFB3101701"]}]},{"name":"National Key R&D Program of China","award":["2018YFA0704703"],"award-info":[{"award-number":["2018YFA0704703"]}]}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2025,11,19]]},"DOI":"10.1145\/3719027.3765157","type":"proceedings-article","created":{"date-parts":[[2025,11,22]],"date-time":"2025-11-22T23:42:02Z","timestamp":1763854922000},"page":"2024-2038","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":0,"title":["Adversarially Robust Assembly Language Model for Packed Executables Detection"],"prefix":"10.1145","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-3527-1332","authenticated-orcid":false,"given":"Shijia","family":"Li","sequence":"first","affiliation":[{"name":"China Electronics Corporation, Shenzhen, Guangdong, China and Nankai University, Tianjin, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-9682-0502","authenticated-orcid":false,"given":"Jiang","family":"Ming","sequence":"additional","affiliation":[{"name":"Tulane University, New Orleans, LA, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0009-0007-7838-7101","authenticated-orcid":false,"given":"Lanqing","family":"Liu","sequence":"additional","affiliation":[{"name":"Nankai University, Tianjin, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0009-0009-8258-716X","authenticated-orcid":false,"given":"Longwei","family":"Yang","sequence":"additional","affiliation":[{"name":"Nankai University, Tianjin, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0009-0004-6685-9165","authenticated-orcid":false,"given":"Ni","family":"Zhang","sequence":"additional","affiliation":[{"name":"China Electronics Corporation, Shenzhen, Guangdong, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-5588-9690","authenticated-orcid":false,"given":"Chunfu","family":"Jia","sequence":"additional","affiliation":[{"name":"Nankai University, Tianjin, China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"320","published-online":{"date-parts":[[2025,11,22]]},"reference":[{"doi-asserted-by":"publisher","key":"e_1_3_2_1_1_1","DOI":"10.14722\/ndss.2020.24310"},{"unstructured":"Victor Manuel Alvarez. 2024. YARA -- The Pattern Matching Swiss Knife for Malware Researchers. https:\/\/virustotal.github.io\/yara\/ accessed on 2024-02-29.","key":"e_1_3_2_1_2_1"},{"key":"e_1_3_2_1_3_1","volume-title":"Proceedings of the 23rd USENIX Security Symposium (USENIX Security). 845-860","author":"Bao Tiffany","year":"2014","unstructured":"Tiffany Bao, Jonathan Burket, Maverick Woo, Rafael Turner, and David Brumley. 2014. BYTEWEIGHT: Learning to recognize functions in binary code. In Proceedings of the 23rd USENIX Security Symposium (USENIX Security). 845-860."},{"unstructured":"Thomas Barabosch. 2024. The malware analyst's guide to aPLib decompression. https:\/\/0xc0decafe.com\/malware-analysts-guide-to-aplib-decompression accessed on 2024-02-29.","key":"e_1_3_2_1_4_1"},{"doi-asserted-by":"publisher","key":"e_1_3_2_1_5_1","DOI":"10.1109\/MALWARE.2013.6703681"},{"doi-asserted-by":"publisher","key":"e_1_3_2_1_6_1","DOI":"10.3390\/e19030125"},{"key":"e_1_3_2_1_7_1","first-page":"1","article-title":"Entropy analysis to classify unknown packing algorithms for malware detection","volume":"16","author":"Bat-Erdene Munkhbayar","year":"2016","unstructured":"Munkhbayar Bat-Erdene, Hyundo Park, Hongzhe Li, Heejo Lee, and Mahn Soo Choi. 2016. Entropy analysis to classify unknown packing algorithms for malware detection. International Journal of Information Security, Vol. 16, 3 (2016), 1-22.","journal-title":"International Journal of Information Security"},{"volume-title":"Proceedings of the 25th Annual Network and Distributed System Security Symposium (NDSS).","author":"Bauman Erick","unstructured":"Erick Bauman, Zhiqiang Lin, and Kevin W. Hamlen. 2018. Superset Disassembly: Statically Rewriting x86 Binaries Without Heuristics. In Proceedings of the 25th Annual Network and Distributed System Security Symposium (NDSS).","key":"e_1_3_2_1_8_1"},{"doi-asserted-by":"publisher","key":"e_1_3_2_1_9_1","DOI":"10.1007\/978-3-030-61078-4_3"},{"doi-asserted-by":"publisher","key":"e_1_3_2_1_10_1","DOI":"10.1016\/j.cose.2019.05.007"},{"key":"e_1_3_2_1_11_1","first-page":"1","volume-title":"Proceedings of the 26th International Symposium on Research in Attacks, Intrusions and Defenses (RAID). ACM.","author":"Davinroy Joshua","year":"2023","unstructured":"Bundt, Joshua and Davinroy, Michael and Agadakos, Ioannis and Oprea, Alina and Robertson, William. 2023. Black-box Attacks Against Neural Binary Function Detection. In Proceedings of the 26th International Symposium on Research in Attacks, Intrusions and Defenses (RAID). ACM., Hong Kong, China, 1-16."},{"doi-asserted-by":"publisher","key":"e_1_3_2_1_12_1","DOI":"10.1109\/TC.2012.65"},{"unstructured":"Checkpoint. 2023. FOLLOWING THE SCENT OF TRICKGATE: 6-YEAR-OLD PACKER USED TO DEPLOY THE MOST WANTED MALWARE. https:\/\/research.checkpoint.com\/2023\/following-the-scent-of-trickgate-6-year-old-packer-used-to-deploy-the-most-wanted-malware\/ accessed on 2024-02-29.","key":"e_1_3_2_1_13_1"},{"key":"e_1_3_2_1_14_1","first-page":"7481","volume-title":"Proceedings of the 32nd USENIX Security Symposium (USENIX Security). USENIX Association","author":"Cheng Binlin","year":"2023","unstructured":"Binlin Cheng, Erika A. Leal, Haotian Zhang, and Jiang Ming. 2023. On the Feasibility of Malware Unpacking via Hardware-assisted Loop Profiling. In Proceedings of the 32nd USENIX Security Symposium (USENIX Security). USENIX Association, Anaheim, CA, USA, 7481-7498."},{"doi-asserted-by":"publisher","key":"e_1_3_2_1_15_1","DOI":"10.1145\/3243734.3243771"},{"key":"e_1_3_2_1_16_1","volume-title":"Proceedings of the 30th USENIX Security Symposium (USENIX Security). USENIX Association, Online, 3451-3468","author":"Cheng Binlin","year":"2021","unstructured":"Binlin Cheng, Jiang Ming, Erika A. Leal, Haotian Zhang, Jianming Fu, Guojun Peng, and Jean Yves Marion. 2021. Obfuscation-Resilient Executable Payload Extraction From Packed Malware. In Proceedings of the 30th USENIX Security Symposium (USENIX Security). USENIX Association, Online, 3451-3468."},{"key":"e_1_3_2_1_17_1","volume-title":"Proceedings of the 26th USENIX Security Symposium (USENIX Security). USENIX Association, 99-116","author":"Chua Zheng Leong","year":"2017","unstructured":"Zheng Leong Chua, Shiqi Shen, Prateek Saxena, and Zhenkai Liang. 2017. Neural Nets Can Learn Function Type Signatures From Binaries. In Proceedings of the 26th USENIX Security Symposium (USENIX Security). USENIX Association, 99-116."},{"doi-asserted-by":"publisher","key":"e_1_3_2_1_18_1","DOI":"10.1109\/SP.2018.00054"},{"doi-asserted-by":"publisher","key":"e_1_3_2_1_19_1","DOI":"10.1016\/j.asoc.2022.109373"},{"key":"e_1_3_2_1_20_1","first-page":"4171","volume-title":"Proceedings of the Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (NAACL HLT)","volume":"1","author":"Devlin Jacob","year":"2019","unstructured":"Jacob Devlin, Ming Wei Chang, Kenton Lee, and Kristina Toutanova. 2019. BERT: Pre-training of deep bidirectional transformers for language understanding. In Proceedings of the Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (NAACL HLT), Vol. 1. Association for Computational Linguistics, Minneapolis, MN, USA, 4171-4186."},{"key":"e_1_3_2_1_21_1","volume-title":"Charles Henry Bertrand Van Ouytsel, and Axel Legay","author":"D'Hondt Alexandre","year":"2024","unstructured":"Alexandre D'Hondt, Charles Henry Bertrand Van Ouytsel, and Axel Legay. 2024. Evading Packing Detection: Breaking Heuristic-Based Static Detectors. In Proceedings of the 21st Detection of Intrusions and Malware, and Vulnerability Assessment (DIMVA). Springer, Berlin, Heidelberg, 174-183."},{"doi-asserted-by":"publisher","key":"e_1_3_2_1_22_1","DOI":"10.1007\/978-3-031-97623-0_16"},{"key":"e_1_3_2_1_23_1","volume-title":"Proceedings of the 9th International Conference on Learning Representations (ICLR","author":"Dosovitskiy Alexey","year":"2021","unstructured":"Alexey Dosovitskiy, Lucas Beyer, Alexander Kolesnikov, Dirk Weissenborn, Xiaohua Zhai, Thomas Unterthiner, Mostafa Dehghani, Matthias Minderer, Georg Heigold, Sylvain Gelly, Jakob Uszkoreit, and Neil Houlsby. 2021. AN IMAGE IS WORTH 16X16 WORDS: TRANSFORMERS FOR IMAGE RECOGNITION AT SCALE. In Proceedings of the 9th International Conference on Learning Representations (ICLR 2021). OpenReview.net, Virtual Event, Austria."},{"doi-asserted-by":"publisher","key":"e_1_3_2_1_24_1","DOI":"10.14722\/ndss.2018.23296"},{"unstructured":"Erocarrera. 2024. pefile. https:\/\/github.com\/erocarrera\/pefile accessed on 2024-02-29.","key":"e_1_3_2_1_25_1"},{"doi-asserted-by":"publisher","key":"e_1_3_2_1_26_1","DOI":"10.1145\/3151137.3160687"},{"doi-asserted-by":"publisher","key":"e_1_3_2_1_27_1","DOI":"10.1145\/3576915.3623175"},{"key":"e_1_3_2_1_28_1","volume-title":"Gaussian Error Linear Units (GELUs). arXiv","author":"Hendrycks Dan","year":"2016","unstructured":"Dan Hendrycks and Kevin Gimpel. 2016. Gaussian Error Linear Units (GELUs). arXiv (2016), 1-10."},{"unstructured":"Hex-Rays. 2025. Hex Rays - State-of-the-Art Binary Code Analysis Solutions. https:\/\/hex-rays.com\/ida-pro\/.","key":"e_1_3_2_1_29_1"},{"unstructured":"Horsicq. 2024a. Detect-It-Easy. https:\/\/github.com\/horsicq\/Detect-It-Easy accessed on 2024-02-29.","key":"e_1_3_2_1_30_1"},{"unstructured":"Horsicq. 2024b. Detect It Easy 2.05. https:\/\/github.com\/horsicq\/DIE-engine\/releases\/tag\/2.05 accessed on 2024-02-29.","key":"e_1_3_2_1_31_1"},{"doi-asserted-by":"publisher","key":"e_1_3_2_1_32_1","DOI":"10.1109\/ICCEA50009.2020.00062"},{"doi-asserted-by":"publisher","key":"e_1_3_2_1_33_1","DOI":"10.1007\/978-3-642-37300-8_6"},{"doi-asserted-by":"publisher","key":"e_1_3_2_1_34_1","DOI":"10.1109\/MALWARE.2010.5665789"},{"doi-asserted-by":"publisher","key":"e_1_3_2_1_35_1","DOI":"10.1145\/3548606.3560612"},{"doi-asserted-by":"publisher","key":"e_1_3_2_1_36_1","DOI":"10.1109\/SPRO.2015.10"},{"unstructured":"JusticeRage. 2024. Manalyze. https:\/\/github.com\/JusticeRage\/Manalyze accessed on 2024-02-29.","key":"e_1_3_2_1_37_1"},{"doi-asserted-by":"publisher","key":"e_1_3_2_1_38_1","DOI":"10.1145\/3607199.3607214"},{"doi-asserted-by":"publisher","key":"e_1_3_2_1_39_1","DOI":"10.14722\/ndss.2022.24015"},{"doi-asserted-by":"publisher","key":"e_1_3_2_1_40_1","DOI":"10.1145\/3576915.3616625"},{"doi-asserted-by":"publisher","key":"e_1_3_2_1_41_1","DOI":"10.1145\/3460120.3484587"},{"key":"e_1_3_2_1_42_1","volume-title":"RoBERTa: A Robustly Optimized BERT Pretraining Approach. arXiv","author":"Liu Yinhan","year":"2019","unstructured":"Yinhan Liu, Myle Ott, Naman Goyal, Jingfei Du, Mandar Joshi, Danqi Chen, Omer Levy, Mike Lewis, Luke Zettlemoyer, and Veselin Stoyanov. 2019. RoBERTa: A Robustly Optimized BERT Pretraining Approach. arXiv, Vol. abs\/1907.11692, 1 (2019)."},{"doi-asserted-by":"publisher","key":"e_1_3_2_1_43_1","DOI":"10.1145\/1065010.1065034"},{"doi-asserted-by":"publisher","key":"e_1_3_2_1_44_1","DOI":"10.14722\/ndss.2023.24415"},{"doi-asserted-by":"publisher","key":"e_1_3_2_1_45_1","DOI":"10.1109\/MSP.2007.48"},{"unstructured":"Malscan. 2024. malscan. https:\/\/github.com\/malscan\/malscan accessed on 2024-02-29.","key":"e_1_3_2_1_46_1"},{"doi-asserted-by":"publisher","key":"e_1_3_2_1_47_1","DOI":"10.14722\/ndss.2020.24297"},{"key":"e_1_3_2_1_48_1","first-page":"1389","volume-title":"Advances in Neural Information Processing Systems (NIPS)","volume":"26","author":"Mikolov Tomas","year":"2013","unstructured":"Tomas Mikolov, Ilya Sutskever, Kai Chen, Greg Corrado, and Jeffrey Dean. 2013. Distributed Representations of Words and Phrases and their Compositionality. Advances in Neural Information Processing Systems (NIPS), Vol. 26 (10 2013), 1389-1399."},{"key":"e_1_3_2_1_49_1","volume-title":"Probabilistic Disassembly. In Proceedings of the 41st IEEE\/ACM International Conference on Software Engineering (ICSE). IEEE, 1187-1198","author":"Miller Kenneth","year":"2019","unstructured":"Kenneth Miller, Yonghwi Kwon, Yi Sun, Zhuo Zhang, Xiangyu Zhang, and Zhiqiang Lin. 2019. Probabilistic Disassembly. In Proceedings of the 41st IEEE\/ACM International Conference on Software Engineering (ICSE). IEEE, 1187-1198."},{"key":"e_1_3_2_1_50_1","volume-title":"Comput. Surveys","volume":"55","author":"Muralidharan Trivikram","year":"2022","unstructured":"Trivikram Muralidharan, Aviad Cohen, Noa Gerson, and Nir Nissim. 2022. File Packing from the Malware Perspective: Techniques, Analysis Approaches, and Directions for Enhancements. Comput. Surveys, Vol. 55, 5 (2022)."},{"doi-asserted-by":"publisher","key":"e_1_3_2_1_51_1","DOI":"10.1162\/jocn.1997.9.3.318"},{"doi-asserted-by":"publisher","key":"e_1_3_2_1_52_1","DOI":"10.1145\/2490428.2490442"},{"key":"e_1_3_2_1_53_1","volume-title":"2020 International Symposium on Information Theory and Its Applications (ISITA). IEEE, 504-508","author":"Omachi Ryuto","year":"2020","unstructured":"Ryuto Omachi and Yasuyuki Murakami. 2020. Packer identification method for multi-layer executables with k-nearest neighbor of entropies. In 2020 International Symposium on Information Theory and Its Applications (ISITA). IEEE, 504-508."},{"doi-asserted-by":"publisher","key":"e_1_3_2_1_54_1","DOI":"10.18653\/v1\/N19-4009"},{"key":"e_1_3_2_1_55_1","volume-title":"Proceedings of the 31st USENIX Security Symposium (USENIX Security). USENIX Association, 2479-2495","author":"Pang Chengbin","year":"2022","unstructured":"Chengbin Pang, Tiantai Zhang, Ruotong Yu, Bing Mao, and Jun Xu. 2022. Ground Truth for Binary Disassembly is Not Easy. In Proceedings of the 31st USENIX Security Symposium (USENIX Security). USENIX Association, 2479-2495."},{"key":"e_1_3_2_1_56_1","first-page":"2339","article-title":"Examining Zero-Shot Vulnerability Repair with Large Language Models","author":"Pearce Hammond","year":"2023","unstructured":"Hammond Pearce, Benjamin Tan, Baleegh Ahmad, Ramesh Karri, and Brendan Dolan-Gavitt. 2023. Examining Zero-Shot Vulnerability Repair with Large Language Models. IEEE Computer Society, 2339-2356.","journal-title":"IEEE Computer Society"},{"doi-asserted-by":"publisher","key":"e_1_3_2_1_57_1","DOI":"10.14722\/ndss.2021.23112"},{"doi-asserted-by":"publisher","key":"e_1_3_2_1_58_1","DOI":"10.1109\/ACSAC.2008.22"},{"key":"e_1_3_2_1_59_1","volume-title":"REcon","author":"Pericin Tomislav","year":"2011","unstructured":"Tomislav Pericin. 2011. Reversing software compressions: Tale of dragons and men who slay them. In REcon 2011. REcon."},{"doi-asserted-by":"publisher","key":"e_1_3_2_1_60_1","DOI":"10.1016\/S1364-6613(99)01293-0"},{"doi-asserted-by":"publisher","key":"e_1_3_2_1_61_1","DOI":"10.1109\/ACSAC.2006.38"},{"doi-asserted-by":"publisher","key":"e_1_3_2_1_62_1","DOI":"10.1145\/2030376.2030379"},{"unstructured":"Slashdot Media. 2024. SourceForge. https:\/\/sourceforge.net\/ accessed on 2024-09-21.","key":"e_1_3_2_1_63_1"},{"unstructured":"VMProtect Software. 2024. VMProtect Software Protection. https:\/\/www.vmpsoft.com accessed on 2024-02-29.","key":"e_1_3_2_1_64_1"},{"unstructured":"SPEC. 2024. SPEC's Benchmarks and Tools. https:\/\/www.spec.org\/benchmarks.html#cpu accessed on 2024-02-29.","key":"e_1_3_2_1_65_1"},{"doi-asserted-by":"publisher","key":"e_1_3_2_1_66_1","DOI":"10.1007\/978-3-642-14081-5_23"},{"unstructured":"packing-box team. 2024. Dataset of packed PE files. https:\/\/github.com\/packing-box\/dataset-packed-pe accessed on 2024-02-29.","key":"e_1_3_2_1_67_1"},{"unstructured":"The UPX Team. 2024. UPX: the Ultimate Packer for eXecutables. https:\/\/upx.github.io\/ accessed on 2024-10-15.","key":"e_1_3_2_1_68_1"},{"unstructured":"Oreans Technologies. 2024. Themida Overview. www.oreans.com\/themida.php accessed on 2024-02-29.","key":"e_1_3_2_1_69_1"},{"unstructured":"the MITRE Corporation. 2024. Obfuscated Files or Information: Software Packing. https:\/\/attack.mitre.org\/techniques\/T1027\/002\/ accessed on 2024-02-29.","key":"e_1_3_2_1_70_1"},{"volume-title":"Proceedings of the 36th IEEE Symposium on Security and Privacy (S&P). IEEE, 659-673","author":"Ugarte-Pedrero Xabier","unstructured":"Xabier Ugarte-Pedrero, Davide Balzarotti, Igor Santos, and Pablo G. Bringas. 2015. SoK: Deep Packer Inspection: A Longitudinal Study of the Complexity of Run-Time Packers. In Proceedings of the 36th IEEE Symposium on Security and Privacy (S&P). IEEE, 659-673.","key":"e_1_3_2_1_71_1"},{"doi-asserted-by":"publisher","key":"e_1_3_2_1_72_1","DOI":"10.1109\/SP54263.2024.00210"},{"key":"e_1_3_2_1_73_1","first-page":"6000","article-title":"Attention is all you need","volume":"11","author":"Vaswani Ashish","year":"2017","unstructured":"Ashish Vaswani, Noam Shazeer, Niki Parmar, Jakob Uszkoreit, Llion Jones, Aidan N. Gomez, \u0141ukasz Kaiser, and Illia Polosukhin. 2017. Attention is all you need. Advances in Neural Information Processing Systems (NIPS), 11 (2017), 6000\u20136010.","journal-title":"Advances in Neural Information Processing Systems (NIPS)"},{"unstructured":"VirusTotal. 2024. VirusTotal. https:\/\/www.virustotal.com\/ accessed on 2024-02-29.","key":"e_1_3_2_1_74_1"},{"doi-asserted-by":"publisher","key":"e_1_3_2_1_75_1","DOI":"10.1145\/3650212.3652145"},{"doi-asserted-by":"publisher","key":"e_1_3_2_1_76_1","DOI":"10.1145\/3533767.3534367"},{"doi-asserted-by":"publisher","key":"e_1_3_2_1_77_1","DOI":"10.1145\/3052973.3053002"},{"doi-asserted-by":"publisher","key":"e_1_3_2_1_78_1","DOI":"10.1145\/3460120.3484759"},{"key":"e_1_3_2_1_79_1","volume-title":"Proceedings of the 31st USENIX Security Symposium","author":"Yu Sheng","year":"2022","unstructured":"Sheng Yu, Yu Qu, Xunchao Hu, and Heng Yin. 2022. DEEPDI: Learning a Relational Graph Convolutional Network Model on Instructions for Fast and Accurate Disassembly. In Proceedings of the 31st USENIX Security Symposium, Security 2022."}],"event":{"sponsor":["SIGSAC ACM Special Interest Group on Security, Audit, and Control"],"acronym":"CCS '25","name":"CCS '25: ACM SIGSAC Conference on Computer and Communications Security","location":"Taipei Taiwan"},"container-title":["Proceedings of the 2025 ACM SIGSAC Conference on Computer and Communications Security"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3719027.3765157","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,12,22]],"date-time":"2025-12-22T22:28:34Z","timestamp":1766442514000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3719027.3765157"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,11,19]]},"references-count":79,"alternative-id":["10.1145\/3719027.3765157","10.1145\/3719027"],"URL":"https:\/\/doi.org\/10.1145\/3719027.3765157","relation":{},"subject":[],"published":{"date-parts":[[2025,11,19]]},"assertion":[{"value":"2025-11-22","order":3,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}