PtbStolen: Pre-trained Encoder Stealing Through Perturbed Samples

Chuan Zhang; Haotian Liang; Zhuopeng Li; Tong Wu; Licheng Wang; Liehuang Zhu

doi:10.1007/978-981-99-9614-8_1

PtbStolen: Pre-trained Encoder Stealing Through Perturbed Samples

Chuan Zhang, Haotian Liang, Zhuopeng Li, Tong Wu, Licheng Wang^*, Liehuang Zhu

^*Corresponding author for this work

School of Cyberspace Science and Technology

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Abstract

Recent years have witnessed the huge success of adopting the self-supervised learning paradigm into pre-train effective encoders [1].

Original language	English
Title of host publication	Emerging Information Security and Applications - 4th International Conference, EISA 2023, Proceedings
Editors	Jun Shao, Sokratis K. Katsikas, Weizhi Meng
Publisher	Springer Science and Business Media Deutschland GmbH
Pages	1-19
Number of pages	19
ISBN (Print)	9789819996131
DOIs	https://doi.org/10.1007/978-981-99-9614-8_1
Publication status	Published - 2024
Event	4th International Conference on Emerging Information Security and Applications, EISA 2023 - Hangzhou, China Duration: 6 Dec 2023 → 7 Dec 2023

Publication series

Name	Communications in Computer and Information Science
Volume	2004
ISSN (Print)	1865-0929
ISSN (Electronic)	1865-0937

Conference

Conference	4th International Conference on Emerging Information Security and Applications, EISA 2023
Country/Territory	China
City	Hangzhou
Period	6/12/23 → 7/12/23

Keywords

Encoder stealing attacks
Perturbed samples
Pre-trained encoders

Access to Document

10.1007/978-981-99-9614-8_1

Cite this

Zhang, C., Liang, H., Li, Z., Wu, T., Wang, L., & Zhu, L. (2024). PtbStolen: Pre-trained Encoder Stealing Through Perturbed Samples. In J. Shao, S. K. Katsikas, & W. Meng (Eds.), Emerging Information Security and Applications - 4th International Conference, EISA 2023, Proceedings (pp. 1-19). (Communications in Computer and Information Science; Vol. 2004). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-981-99-9614-8_1

Zhang, Chuan ; Liang, Haotian ; Li, Zhuopeng et al. / PtbStolen : Pre-trained Encoder Stealing Through Perturbed Samples. Emerging Information Security and Applications - 4th International Conference, EISA 2023, Proceedings. editor / Jun Shao ; Sokratis K. Katsikas ; Weizhi Meng. Springer Science and Business Media Deutschland GmbH, 2024. pp. 1-19 (Communications in Computer and Information Science).

@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",

}

Zhang, C, Liang, H, Li, Z, Wu, T, Wang, L & Zhu, L 2024, PtbStolen: Pre-trained Encoder Stealing Through Perturbed Samples. in J Shao, SK Katsikas & W Meng (eds), Emerging Information Security and Applications - 4th International Conference, EISA 2023, Proceedings. Communications in Computer and Information Science, vol. 2004, Springer Science and Business Media Deutschland GmbH, pp. 1-19, 4th International Conference on Emerging Information Security and Applications, EISA 2023, Hangzhou, China, 6/12/23. https://doi.org/10.1007/978-981-99-9614-8_1

PtbStolen: Pre-trained Encoder Stealing Through Perturbed Samples. / Zhang, Chuan; Liang, Haotian; Li, Zhuopeng et al.
Emerging Information Security and Applications - 4th International Conference, EISA 2023, Proceedings. ed. / Jun Shao; Sokratis K. Katsikas; Weizhi Meng. Springer Science and Business Media Deutschland GmbH, 2024. p. 1-19 (Communications in Computer and Information Science; Vol. 2004).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - PtbStolen

T2 - 4th International Conference on Emerging Information Security and Applications, EISA 2023

AU - Zhang, Chuan

AU - Liang, Haotian

AU - Li, Zhuopeng

AU - Wu, Tong

AU - Wang, Licheng

AU - Zhu, Liehuang

PY - 2024

Y1 - 2024

N2 - Recent years have witnessed the huge success of adopting the self-supervised learning paradigm into pre-train effective encoders [1].

AB - Recent years have witnessed the huge success of adopting the self-supervised learning paradigm into pre-train effective encoders [1].

KW - Encoder stealing attacks

KW - Perturbed samples

KW - Pre-trained encoders

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U2 - 10.1007/978-981-99-9614-8_1

DO - 10.1007/978-981-99-9614-8_1

M3 - Conference contribution

AN - SCOPUS:85181980993

SN - 9789819996131

T3 - Communications in Computer and Information Science

SP - 1

EP - 19

BT - Emerging Information Security and Applications - 4th International Conference, EISA 2023, Proceedings

A2 - Shao, Jun

A2 - Katsikas, Sokratis K.

A2 - Meng, Weizhi

PB - Springer Science and Business Media Deutschland GmbH

Y2 - 6 December 2023 through 7 December 2023

ER -

Zhang C, Liang H, Li Z, Wu T, Wang L, Zhu L. PtbStolen: Pre-trained Encoder Stealing Through Perturbed Samples. In Shao J, Katsikas SK, Meng W, editors, Emerging Information Security and Applications - 4th International Conference, EISA 2023, Proceedings. Springer Science and Business Media Deutschland GmbH. 2024. p. 1-19. (Communications in Computer and Information Science). doi: 10.1007/978-981-99-9614-8_1

PtbStolen: Pre-trained Encoder Stealing Through Perturbed Samples

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