{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,25]],"date-time":"2026-03-25T06:26:49Z","timestamp":1774420009218,"version":"3.50.1"},"reference-count":26,"publisher":"IEEE","license":[{"start":{"date-parts":[[2025,4,6]],"date-time":"2025-04-06T00:00:00Z","timestamp":1743897600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2025,4,6]],"date-time":"2025-04-06T00:00:00Z","timestamp":1743897600000},"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\/501100007937","name":"Peking University","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100007937","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2025,4,6]]},"DOI":"10.1109\/icassp49660.2025.10890103","type":"proceedings-article","created":{"date-parts":[[2025,3,12]],"date-time":"2025-03-12T17:15:02Z","timestamp":1741799702000},"page":"1-5","source":"Crossref","is-referenced-by-count":0,"title":["To Learn Better Character Embeddings in Generative Models for Password Attack"],"prefix":"10.1109","author":[{"given":"Mingli","family":"Zheng","sequence":"first","affiliation":[{"name":"Peking University"}]},{"given":"Haibo","family":"Cheng","sequence":"additional","affiliation":[{"name":"Peking University"}]},{"given":"Jiahong","family":"Yang","sequence":"additional","affiliation":[{"name":"Peking University"}]},{"given":"Wenbo","family":"Zhang","sequence":"additional","affiliation":[{"name":"Peking University"}]},{"given":"Ping","family":"Wang","sequence":"additional","affiliation":[{"name":"Peking University"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2020.emnlp-main.378"},{"key":"ref2","article-title":"Transformerbased conditional variational autoencoder for controllable story generation","author":"Fang","year":"2021"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.24963\/ijcai.2019\/727"},{"key":"ref4","article-title":"PassGPT: Password Modeling and (Guided) Generation with Large Language Models","author":"Rando","year":"2023"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1145\/3538969.3539000"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-21568-2_11"},{"key":"ref7","article-title":"Auto-Encoding Variational Bayes","volume-title":"2nd International Conference on Learning Representations, Banff. AB. Canada, Conference Track Proceedings","author":"Kingma"},{"key":"ref8","first-page":"175","article-title":"Fast, Lean, and Accurate: Modeling Password Guessability Using Neural Networks","volume-title":"25th USENIX Security Symposium (USENIX Security 16), 2016, USENIX Association","author":"Melicher"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/SP40001.2021.00016"},{"key":"ref10","article-title":"Attention is all you need","author":"Vaswani","year":"2017","journal-title":"Advances in Neural Information Processing Systems"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/SP.2009.8"},{"key":"ref12","article-title":"Wasserstein Auto-Encoders","volume-title":"International Conference on Learning Representations","author":"Tolstikhin"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/n19-1021"},{"key":"ref14","first-page":"4743","article-title":"Improved variational inference with inverse autoregressive flow","volume-title":"Proc. 30th Int. Conf. Neural Inf. Process. Syst","author":"Kingma"},{"key":"ref15","first-page":"965","article-title":"Password Guessing Using Random Forest","volume-title":"32nd USENIX Security Symposium (USENIX Security 23)","author":"Wang"},{"key":"ref16","doi-asserted-by":"crossref","DOI":"10.1109\/DSN58291.2024.00049","article-title":"PagPassGPT: Pattern Guided Password Guessing via Generative Pretrained Transformer","author":"Su","year":"2024"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/ICASSP49357.2023.10096535"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1016\/j.jnca.2023.103592"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.3390\/s22176484"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1145\/3290480.3290501"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.23919\/cje.2022.00.339"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.23919\/cje.2023.00.192"},{"key":"ref23","article-title":"MySpace Password Leak"},{"key":"ref24","article-title":"phpbb Password Leak"},{"key":"ref25","article-title":"RockYou Password Leak"},{"key":"ref26","article-title":"Leak Youku"}],"event":{"name":"ICASSP 2025 - 2025 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","location":"Hyderabad, India","start":{"date-parts":[[2025,4,6]]},"end":{"date-parts":[[2025,4,11]]}},"container-title":["ICASSP 2025 - 2025 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/10887540\/10887541\/10890103.pdf?arnumber=10890103","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,3,25]],"date-time":"2026-03-25T05:25:55Z","timestamp":1774416355000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10890103\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,4,6]]},"references-count":26,"URL":"https:\/\/doi.org\/10.1109\/icassp49660.2025.10890103","relation":{},"subject":[],"published":{"date-parts":[[2025,4,6]]}}}