Quantifying Privacy Risks of Prompts in Visual Prompt Learning

Yixin Wu; Rui Wen; Michael Backes; Pascal Berrang; Mathias Humbert; Yun Shen; Yang Zhang

Quantifying Privacy Risks of Prompts in Visual Prompt Learning

Yixin Wu, Rui Wen, Michael Backes, Pascal Berrang, Mathias Humbert, Yun Shen, Yang Zhang

Computer Science

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

Original language	English
Title of host publication	USENIX Security 2024
Publisher	USENIX
Publication status	Accepted/In press - 12 Oct 2023

Bibliographical note

Not yet published as of 29/02/2024.

Acknowledgements:
We thank all anonymous reviewers for their constructive comments. This work is partially funded by the European Health and Digital Executive Agency (HADEA) within the project “Understanding the individual host response against Hepatitis D Virus to develop a personalized approach for the management of hepatitis D”(D-Solve) (grant agreement number 101057917).

Cite this

@inproceedings{97e536aec84441f2b78b1bccff16472b,

title = "Quantifying Privacy Risks of Prompts in Visual Prompt Learning",

author = "Yixin Wu and Rui Wen and Michael Backes and Pascal Berrang and Mathias Humbert and Yun Shen and Yang Zhang",

note = "Not yet published as of 29/02/2024. Acknowledgements: We thank all anonymous reviewers for their constructive comments. This work is partially funded by the European Health and Digital Executive Agency (HADEA) within the project “Understanding the individual host response against Hepatitis D Virus to develop a personalized approach for the management of hepatitis D”(D-Solve) (grant agreement number 101057917). ",

year = "2023",

month = oct,

day = "12",

language = "English",

booktitle = "USENIX Security 2024",

publisher = "USENIX ",

}

TY - GEN

T1 - Quantifying Privacy Risks of Prompts in Visual Prompt Learning

AU - Wu, Yixin

AU - Wen, Rui

AU - Backes, Michael

AU - Berrang, Pascal

AU - Humbert, Mathias

AU - Shen, Yun

AU - Zhang, Yang

N1 - Not yet published as of 29/02/2024. Acknowledgements: We thank all anonymous reviewers for their constructive comments. This work is partially funded by the European Health and Digital Executive Agency (HADEA) within the project “Understanding the individual host response against Hepatitis D Virus to develop a personalized approach for the management of hepatitis D”(D-Solve) (grant agreement number 101057917).

PY - 2023/10/12

Y1 - 2023/10/12

UR - https://www.usenix.org/conference/usenixsecurity24

UR - https://doi.org/10.48550/arXiv.2310.11970

M3 - Conference contribution

BT - USENIX Security 2024

PB - USENIX

ER -