@inproceedings{dc3516778b894c5ab5d3ad249ded09c0,
title = "PtbStolen: Pre-trained Encoder Stealing Through Perturbed Samples",
abstract = "Recent years have witnessed the huge success of adopting the self-supervised learning paradigm into pre-train effective encoders [1].",
keywords = "Encoder stealing attacks, Perturbed samples, Pre-trained encoders",
author = "Chuan Zhang and Haotian Liang and Zhuopeng Li and Tong Wu and Licheng Wang and Liehuang Zhu",
note = "Publisher Copyright: {\textcopyright} 2024, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.; 4th International Conference on Emerging Information Security and Applications, EISA 2023 ; Conference date: 06-12-2023 Through 07-12-2023",
year = "2024",
doi = "10.1007/978-981-99-9614-8_1",
language = "English",
isbn = "9789819996131",
series = "Communications in Computer and Information Science",
publisher = "Springer Science and Business Media Deutschland GmbH",
pages = "1--19",
editor = "Jun Shao and Katsikas, {Sokratis K.} and Weizhi Meng",
booktitle = "Emerging Information Security and Applications - 4th International Conference, EISA 2023, Proceedings",
address = "Germany",
}