{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,3]],"date-time":"2026-06-03T15:47:29Z","timestamp":1780501649395,"version":"3.54.1"},"publisher-location":"New York, NY, USA","reference-count":69,"publisher":"ACM","license":[{"start":{"date-parts":[[2024,12,2]],"date-time":"2024-12-02T00:00:00Z","timestamp":1733097600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by-nc-sa\/4.0\/"}],"funder":[{"name":"This research was supported by the MSIT(Ministry of Science and ICT), Korea, under the ITRC(Information Technology Research Center) support program(IITP-2024-2020-0-01602) supervised by the IITP(Institute for Information & Communications Technology Planning & Evaluation)","award":["IITP-2024-2020-0-01602"],"award-info":[{"award-number":["IITP-2024-2020-0-01602"]}]},{"name":"This work was supported by Institute of Information & communications Technology Planning & Evaluation (IITP) grant funded by the Korea government (MSIT) (No.RS-2023-00230337, Advanced and Proactive AI Platform Research and Development Against Malicious Deepfakes)","award":["RS-2023-00230337"],"award-info":[{"award-number":["RS-2023-00230337"]}]},{"name":"This work was supported by Institute of Information & communications Technology Planning & Evaluation(IITP) grant funded by the Korea government(MSIT) (No.RS-2023-00263037, Robust deepfake audio detection development against adversarial attacks)","award":["RS-2023-00263037"],"award-info":[{"award-number":["RS-2023-00263037"]}]}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2024,12,2]]},"DOI":"10.1145\/3658644.3690311","type":"proceedings-article","created":{"date-parts":[[2024,12,9]],"date-time":"2024-12-09T12:19:20Z","timestamp":1733746760000},"page":"2222-2235","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":10,"title":["Trident of Poseidon: A Generalized Approach for Detecting Deepfake Voices"],"prefix":"10.1145","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-7988-5953","authenticated-orcid":false,"given":"Thien-Phuc","family":"Doan","sequence":"first","affiliation":[{"name":"Soongsil University, Seoul, Republic of Korea"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0009-0004-0770-8332","authenticated-orcid":false,"given":"Hung","family":"Dinh-Xuan","sequence":"additional","affiliation":[{"name":"Soongsil University, Seoul, Korea, South (The Republic of)"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0009-0005-2174-0897","authenticated-orcid":false,"given":"Taewon","family":"Ryu","sequence":"additional","affiliation":[{"name":"Soongsil University, Seoul, Republic of Korea"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0009-0001-0876-1803","authenticated-orcid":false,"given":"Inho","family":"Kim","sequence":"additional","affiliation":[{"name":"Soongsil University, Seoul, Republic of Korea"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0009-0001-7783-3022","authenticated-orcid":false,"given":"Woongjae","family":"Lee","sequence":"additional","affiliation":[{"name":"Soongsil University, Seoul, Republic of Korea"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-5538-3630","authenticated-orcid":false,"given":"Kihun","family":"Hong","sequence":"additional","affiliation":[{"name":"Soongsil University, Seoul, Republic of Korea"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-2676-3412","authenticated-orcid":false,"given":"Souhwan","family":"Jung","sequence":"additional","affiliation":[{"name":"Soongsil University, Seoul, Republic of Korea"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"320","published-online":{"date-parts":[[2024,12,9]]},"reference":[{"key":"e_1_3_2_1_1_1","volume-title":"Deep variational information bottleneck. arXiv preprint arXiv:1612.00410","author":"Alemi Alexander A","year":"2016","unstructured":"Alexander A Alemi, Ian Fischer, Joshua V Dillon, and Kevin Murphy. 2016. Deep variational information bottleneck. arXiv preprint arXiv:1612.00410 (2016)."},{"key":"e_1_3_2_1_2_1","doi-asserted-by":"publisher","DOI":"10.3390\/a15050155"},{"key":"e_1_3_2_1_3_1","doi-asserted-by":"publisher","DOI":"10.1145\/3537674.3554742"},{"key":"e_1_3_2_1_4_1","doi-asserted-by":"publisher","DOI":"10.1109\/TAFFC.2017.2763134"},{"key":"e_1_3_2_1_5_1","doi-asserted-by":"crossref","unstructured":"Arun Babu Changhan Wang Andros Tjandra Kushal Lakhotia Qiantong Xu Naman Goyal Kritika Singh Patrick von Platen Yatharth Saraf Juan Pino et al. 2021. XLS-R: Self-supervised cross-lingual speech representation learning at scale. arXiv preprint arXiv:2111.09296 (2021).","DOI":"10.21437\/Interspeech.2022-143"},{"key":"e_1_3_2_1_6_1","volume-title":"wav2vec 2.0: A framework for self-supervised learning of speech representations. Advances in neural information processing systems","author":"Baevski Alexei","year":"2020","unstructured":"Alexei Baevski, Yuhao Zhou, Abdelrahman Mohamed, and Michael Auli. 2020. wav2vec 2.0: A framework for self-supervised learning of speech representations. Advances in neural information processing systems, Vol. 33 (2020), 12449--12460."},{"key":"e_1_3_2_1_7_1","volume-title":"David Dale, Ning Dong, Paul-Ambroise Duquenne, Hady Elsahar, Hongyu Gong, Kevin Heffernan, John Hoffman, et al.","author":"Chung Yu-An","year":"2023","unstructured":"Lo\"ic Barrault, Yu-An Chung, Mariano Cora Meglioli, David Dale, Ning Dong, Paul-Ambroise Duquenne, Hady Elsahar, Hongyu Gong, Kevin Heffernan, John Hoffman, et al. 2023. SeamlessM4T-Massively Multilingual & Multimodal Machine Translation. arXiv preprint arXiv:2308.11596 (2023)."},{"key":"e_1_3_2_1_8_1","volume-title":"Better speech synthesis through scaling. arXiv preprint arXiv:2305.07243","author":"Betker James","year":"2023","unstructured":"James Betker. 2023. Better speech synthesis through scaling. arXiv preprint arXiv:2305.07243 (2023)."},{"key":"e_1_3_2_1_9_1","doi-asserted-by":"publisher","DOI":"10.21437\/Odyssey.2020-19"},{"key":"e_1_3_2_1_10_1","unstructured":"Tianxiang Chen Avrosh Kumar Parav Nagarsheth Ganesh Sivaraman and Elie Khoury. 2020. Generalization of Audio Deepfake Detection.. In Odyssey. 132--137."},{"key":"e_1_3_2_1_11_1","doi-asserted-by":"publisher","DOI":"10.21437\/Interspeech.2023-817"},{"key":"e_1_3_2_1_12_1","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v38i16.29740"},{"key":"e_1_3_2_1_13_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICASSP40776.2020.9053950"},{"key":"e_1_3_2_1_14_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICASSP43922.2022.9747186"},{"key":"e_1_3_2_1_15_1","doi-asserted-by":"publisher","DOI":"10.21437\/Interspeech.2021-524"},{"key":"e_1_3_2_1_16_1","volume-title":"BTS-E: Audio Deepfake Detection Using Breathing-Talking-Silence Encoder. In ICASSP 2023--2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). IEEE, 1--5.","author":"Doan Thien-Phuc","year":"2023","unstructured":"Thien-Phuc Doan, Long Nguyen-Vu, Souhwan Jung, and Kihun Hong. 2023. BTS-E: Audio Deepfake Detection Using Breathing-Talking-Silence Encoder. In ICASSP 2023--2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). IEEE, 1--5."},{"key":"e_1_3_2_1_17_1","volume-title":"Thirty-fifth Conference on Neural Information Processing Systems Datasets and Benchmarks Track (Round 2). https:\/\/openreview.net\/forum?id=74TZg9gsO8W","author":"Frank Joel","year":"2021","unstructured":"Joel Frank and Lea Sch\u00f6nherr. 2021. WaveFake: A Data Set to Facilitate Audio Deepfake Detection. In Thirty-fifth Conference on Neural Information Processing Systems Datasets and Benchmarks Track (Round 2). https:\/\/openreview.net\/forum?id=74TZg9gsO8W"},{"key":"e_1_3_2_1_18_1","doi-asserted-by":"crossref","unstructured":"Shunsuke Goto Kotaro Onishi Yuki Saito Kentaro Tachibana and Koichiro Mori. 2020. Face2Speech: Towards Multi-Speaker Text-to-Speech Synthesis Using an Embedding Vector Predicted from a Face Image.. In INTERSPEECH. 1321--1325.","DOI":"10.21437\/Interspeech.2020-2136"},{"key":"e_1_3_2_1_19_1","volume-title":"Carlos Toshinori Ishi, and Hiroshi Ishiguro","author":"Guo Houjian","year":"2023","unstructured":"Houjian Guo, Chaoran Liu, Carlos Toshinori Ishi, and Hiroshi Ishiguro. 2023. QuickVC: Any-to-many Voice Conversion Using Inverse Short-time Fourier Transform for Faster Conversion. arXiv preprint arXiv:2302.08296 (2023)."},{"key":"e_1_3_2_1_20_1","doi-asserted-by":"publisher","DOI":"10.1109\/LSP.2021.3089437"},{"key":"e_1_3_2_1_21_1","doi-asserted-by":"publisher","DOI":"10.21437\/Interspeech.2021--1016"},{"key":"e_1_3_2_1_22_1","doi-asserted-by":"publisher","DOI":"10.1145\/1639642.1639704"},{"key":"e_1_3_2_1_23_1","doi-asserted-by":"publisher","DOI":"10.21437\/ASVSPOOF.2021-16"},{"key":"e_1_3_2_1_24_1","doi-asserted-by":"publisher","DOI":"10.21437\/ASVSPOOF.2021-13"},{"key":"e_1_3_2_1_25_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICASSP49357.2023.10095296"},{"key":"e_1_3_2_1_26_1","volume-title":"Supervised contrastive learning. Advances in neural information processing systems","author":"Khosla Prannay","year":"2020","unstructured":"Prannay Khosla, Piotr Teterwak, Chen Wang, Aaron Sarna, Yonglong Tian, Phillip Isola, Aaron Maschinot, Ce Liu, and Dilip Krishnan. 2020. Supervised contrastive learning. Advances in neural information processing systems, Vol. 33 (2020), 18661--18673."},{"key":"e_1_3_2_1_27_1","volume-title":"International Conference on Machine Learning. PMLR, 5530--5540","author":"Kim Jaehyeon","year":"2021","unstructured":"Jaehyeon Kim, Jungil Kong, and Juhee Son. 2021. Conditional variational autoencoder with adversarial learning for end-to-end text-to-speech. In International Conference on Machine Learning. PMLR, 5530--5540."},{"key":"e_1_3_2_1_28_1","volume-title":"Adam: A method for stochastic optimization. arXiv preprint arXiv:1412.6980","author":"Kingma Diederik P","year":"2014","unstructured":"Diederik P Kingma and Jimmy Ba. 2014. Adam: A method for stochastic optimization. arXiv preprint arXiv:1412.6980 (2014)."},{"key":"e_1_3_2_1_29_1","volume-title":"Hifi-gan: Generative adversarial networks for efficient and high fidelity speech synthesis. Advances in neural information processing systems","author":"Kong Jungil","year":"2020","unstructured":"Jungil Kong, Jaehyeon Kim, and Jaekyoung Bae. 2020. Hifi-gan: Generative adversarial networks for efficient and high fidelity speech synthesis. Advances in neural information processing systems, Vol. 33 (2020), 17022--17033."},{"key":"e_1_3_2_1_30_1","doi-asserted-by":"publisher","DOI":"10.1145\/3552466.3556523"},{"key":"e_1_3_2_1_31_1","volume-title":"Advances in Neural Information Processing Systems","volume":"36","author":"Li Yinghao Aaron","year":"2024","unstructured":"Yinghao Aaron Li, Cong Han, Vinay Raghavan, Gavin Mischler, and Nima Mesgarani. 2024. Styletts 2: Towards human-level text-to-speech through style diffusion and adversarial training with large speech language models. Advances in Neural Information Processing Systems, Vol. 36 (2024)."},{"key":"e_1_3_2_1_32_1","doi-asserted-by":"publisher","DOI":"10.21437\/Interspeech.2021--319"},{"key":"e_1_3_2_1_33_1","volume-title":"Diffgan-tts: High-fidelity and efficient text-to-speech with denoising diffusion gans. arXiv preprint arXiv:2201.11972","author":"Liu Songxiang","year":"2022","unstructured":"Songxiang Liu, Dan Su, and Dong Yu. 2022. Diffgan-tts: High-fidelity and efficient text-to-speech with denoising diffusion gans. arXiv preprint arXiv:2201.11972 (2022)."},{"key":"e_1_3_2_1_34_1","doi-asserted-by":"publisher","DOI":"10.1109\/TASLP.2023.3285283"},{"key":"e_1_3_2_1_35_1","volume-title":"One-Class Knowledge Distillation for Spoofing Speech Detection. In ICASSP 2024--2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). IEEE, 11251--11255","author":"Lu Jingze","year":"2024","unstructured":"Jingze Lu, Yuxiang Zhang, Wenchao Wang, Zengqiang Shang, and Pengyuan Zhang. 2024. One-Class Knowledge Distillation for Spoofing Speech Detection. In ICASSP 2024--2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). IEEE, 11251--11255."},{"key":"e_1_3_2_1_36_1","unstructured":"Youxuan Ma Zongze Ren and Shugong Xu. 2021. RW-Resnet: A Novel Speech Anti-Spoofing Model Using Raw Waveform. arXiv 2108.05684. arxiv: 2108.05684 [cs eess] http:\/\/arxiv.org\/abs\/2108.05684"},{"key":"e_1_3_2_1_37_1","doi-asserted-by":"crossref","unstructured":"Zohreh Mostaani and Mathew Magimai-Doss. 2022. On Breathing Pattern Information in Synthetic Speech.. In INTERSPEECH. 2768--2772.","DOI":"10.21437\/Interspeech.2022-10271"},{"key":"e_1_3_2_1_38_1","doi-asserted-by":"publisher","DOI":"10.21437\/Interspeech.2022--108"},{"key":"e_1_3_2_1_39_1","volume-title":"Edresson Casanova, Eren G\u00f6lge, Thorsten M\u00fcller, Piotr Syga, Philip Sperl, and Konstantin B\u00f6ttinger.","author":"M\u00fcller Nicolas M","year":"2024","unstructured":"Nicolas M M\u00fcller, Piotr Kawa, Wei Herng Choong, Edresson Casanova, Eren G\u00f6lge, Thorsten M\u00fcller, Piotr Syga, Philip Sperl, and Konstantin B\u00f6ttinger. 2024. MLAAD: The Multi-Language Audio Anti-Spoofing Dataset. arXiv preprint arXiv:2401.09512 (2024)."},{"key":"e_1_3_2_1_40_1","doi-asserted-by":"publisher","DOI":"10.21437\/Interspeech.2023-901"},{"key":"e_1_3_2_1_41_1","doi-asserted-by":"publisher","DOI":"10.1109\/TBIOM.2021.3059479"},{"key":"e_1_3_2_1_42_1","doi-asserted-by":"publisher","DOI":"10.3390\/app9194050"},{"key":"e_1_3_2_1_43_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICASSP.2015.7178964"},{"key":"e_1_3_2_1_44_1","first-page":"1","article-title":"Scaling speech technology to 1,000 languages","volume":"25","author":"Pratap Vineel","year":"2024","unstructured":"Vineel Pratap, Andros Tjandra, Bowen Shi, Paden Tomasello, Arun Babu, Sayani Kundu, Ali Elkahky, Zhaoheng Ni, Apoorv Vyas, Maryam Fazel-Zarandi, et al. 2024. Scaling speech technology to 1,000 languages. Journal of Machine Learning Research, Vol. 25, 97 (2024), 1--52.","journal-title":"Journal of Machine Learning Research"},{"key":"e_1_3_2_1_45_1","volume-title":"OpenVoice: Versatile Instant Voice Cloning. arXiv preprint arXiv:2312.01479","author":"Qin Zengyi","year":"2023","unstructured":"Zengyi Qin, Wenliang Zhao, Xumin Yu, and Xin Sun. 2023. OpenVoice: Versatile Instant Voice Cloning. arXiv preprint arXiv:2312.01479 (2023)."},{"key":"e_1_3_2_1_46_1","doi-asserted-by":"publisher","DOI":"10.1109\/SPED.2019.8906599"},{"key":"e_1_3_2_1_47_1","volume-title":"Contrastive learning with hard negative samples. arXiv preprint arXiv:2010.04592","author":"Robinson Joshua","year":"2020","unstructured":"Joshua Robinson, Ching-Yao Chuang, Suvrit Sra, and Stefanie Jegelka. 2020. Contrastive learning with hard negative samples. arXiv preprint arXiv:2010.04592 (2020)."},{"key":"e_1_3_2_1_48_1","doi-asserted-by":"publisher","DOI":"10.21437\/Interspeech.2023-1820"},{"key":"e_1_3_2_1_49_1","volume-title":"Introduction to voice presentation attack detection and recent advances. Handbook of Biometric Anti-Spoofing: Presentation Attack Detection and Vulnerability Assessment","author":"Sahidullah Md","year":"2023","unstructured":"Md Sahidullah, H\u00e9ctor Delgado, Massimiliano Todisco, Andreas Nautsch, Xin Wang, Tomi Kinnunen, Nicholas Evans, Junichi Yamagishi, and Kong-Aik Lee. 2023. Introduction to voice presentation attack detection and recent advances. Handbook of Biometric Anti-Spoofing: Presentation Attack Detection and Vulnerability Assessment (2023), 339--385."},{"key":"e_1_3_2_1_50_1","volume-title":"Cyclical learning rates for training neural networks. In 2017 IEEE winter conference on applications of computer vision (WACV)","author":"Smith Leslie N","unstructured":"Leslie N Smith. 2017. Cyclical learning rates for training neural networks. In 2017 IEEE winter conference on applications of computer vision (WACV). IEEE, 464--472."},{"key":"e_1_3_2_1_51_1","doi-asserted-by":"publisher","DOI":"10.21437\/ASVSPOOF.2021-1"},{"key":"e_1_3_2_1_52_1","doi-asserted-by":"publisher","DOI":"10.21437\/Odyssey.2022-16"},{"key":"e_1_3_2_1_53_1","volume-title":"A Survey on Neural Speech Synthesis. arXiv:2106.15561 [cs, eess] (July","author":"Tan Xu","year":"2021","unstructured":"Xu Tan, Tao Qin, Frank Soong, and Tie-Yan Liu. 2021. A Survey on Neural Speech Synthesis. arXiv:2106.15561 [cs, eess] (July 2021). arxiv: 2106.15561 [cs, eess]"},{"key":"e_1_3_2_1_54_1","volume-title":"Schmidt","author":"Teng Zhongwei","year":"2022","unstructured":"Zhongwei Teng, Quchen Fu, Jules White, Maria E. Powell, and Douglas C. Schmidt. 2022. SA-SASV: An End-to-End Spoof-Aggregated Spoofing-Aware Speaker Verification System. arXiv 2203.06517. arxiv: 2203.06517 [cs, eess] http:\/\/arxiv.org\/abs\/2203.06517"},{"key":"e_1_3_2_1_55_1","doi-asserted-by":"publisher","DOI":"10.21437\/Odyssey.2022--14"},{"key":"e_1_3_2_1_56_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICASSP48485.2024.10446331"},{"key":"e_1_3_2_1_57_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.csl.2020.101114"},{"key":"e_1_3_2_1_58_1","doi-asserted-by":"publisher","DOI":"10.1109\/JSTSP.2017.2671435"},{"key":"e_1_3_2_1_59_1","doi-asserted-by":"publisher","DOI":"10.21437\/Interspeech.2023-1383"},{"key":"e_1_3_2_1_60_1","unstructured":"Junichi Yamagishi Christophe Veaux Kirsten MacDonald et al. 2019. Cstr vctk corpus: English multi-speaker corpus for cstr voice cloning toolkit (version 0.92). (2019)."},{"key":"e_1_3_2_1_61_1","doi-asserted-by":"publisher","DOI":"10.21437\/ASVSPOOF.2021-8"},{"key":"e_1_3_2_1_62_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICASSP40776.2020.9053795"},{"key":"e_1_3_2_1_63_1","doi-asserted-by":"publisher","DOI":"10.1109\/TIFS.2020.3045937"},{"key":"e_1_3_2_1_64_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICASSP48485.2024.10446560"},{"key":"e_1_3_2_1_65_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICASSP43922.2022.9746939"},{"key":"e_1_3_2_1_66_1","doi-asserted-by":"publisher","DOI":"10.1145\/3576915.3623209"},{"key":"e_1_3_2_1_67_1","doi-asserted-by":"publisher","DOI":"10.1145\/3625100"},{"key":"e_1_3_2_1_68_1","doi-asserted-by":"crossref","unstructured":"Yu Zhang Ron J. Weiss Heiga Zen Yonghui Wu Zhifeng Chen RJ Skerry-Ryan Ye Jia Andrew Rosenberg and Bhuvana Ramabhadran. 2019. Learning to speak fluently in a foreign language: Multilingual speech synthesis and cross-language voice cloning. In Interspeech.","DOI":"10.21437\/Interspeech.2019-2668"},{"key":"e_1_3_2_1_69_1","unstructured":"Wenliang Zhao Xumin Yu and Zengyi Qin. 2023. MeloTTS: High-quality Multi-lingual Multi-accent Text-to-Speech. https:\/\/github.com\/myshell-ai\/MeloTTS"}],"event":{"name":"CCS '24: ACM SIGSAC Conference on Computer and Communications Security","location":"Salt Lake City UT USA","acronym":"CCS '24","sponsor":["SIGSAC ACM Special Interest Group on Security, Audit, and Control"]},"container-title":["Proceedings of the 2024 on ACM SIGSAC Conference on Computer and Communications Security"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3658644.3690311","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3658644.3690311","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,8,22]],"date-time":"2025-08-22T06:09:43Z","timestamp":1755842983000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3658644.3690311"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,12,2]]},"references-count":69,"alternative-id":["10.1145\/3658644.3690311","10.1145\/3658644"],"URL":"https:\/\/doi.org\/10.1145\/3658644.3690311","relation":{},"subject":[],"published":{"date-parts":[[2024,12,2]]},"assertion":[{"value":"2024-12-09","order":3,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}