摘要
Recent years have witnessed the huge success of adopting the self-supervised learning paradigm into pre-train effective encoders [1].
源语言 | 英语 |
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主期刊名 | Emerging Information Security and Applications - 4th International Conference, EISA 2023, Proceedings |
编辑 | Jun Shao, Sokratis K. Katsikas, Weizhi Meng |
出版商 | Springer Science and Business Media Deutschland GmbH |
页 | 1-19 |
页数 | 19 |
ISBN(印刷版) | 9789819996131 |
DOI | |
出版状态 | 已出版 - 2024 |
活动 | 4th International Conference on Emerging Information Security and Applications, EISA 2023 - Hangzhou, 中国 期限: 6 12月 2023 → 7 12月 2023 |
出版系列
姓名 | Communications in Computer and Information Science |
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卷 | 2004 |
ISSN(印刷版) | 1865-0929 |
ISSN(电子版) | 1865-0937 |
会议
会议 | 4th International Conference on Emerging Information Security and Applications, EISA 2023 |
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国家/地区 | 中国 |
市 | Hangzhou |
时期 | 6/12/23 → 7/12/23 |
指纹
探究 'PtbStolen: Pre-trained Encoder Stealing Through Perturbed Samples' 的科研主题。它们共同构成独一无二的指纹。引用此
Zhang, C., Liang, H., Li, Z., Wu, T., Wang, L., & Zhu, L. (2024). PtbStolen: Pre-trained Encoder Stealing Through Perturbed Samples. 在 J. Shao, S. K. Katsikas, & W. Meng (编辑), Emerging Information Security and Applications - 4th International Conference, EISA 2023, Proceedings (页码 1-19). (Communications in Computer and Information Science; 卷 2004). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-981-99-9614-8_1