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Attack Data is Not Solely Paramount: A Universal Model Extraction Enhancement Method

Year: 2024

Type: conference-paper

Source: IEEE International Conference on Trust, Security and Privacy in Computing and Communications (TrustCom)

DOI: 10.1109/trustcom63139.2024.00229

Authors: Chuang Liang, Jie Huang

Institutions: Southeast University, Purple Mountain Laboratories

Language: English

Topic: Adversarial Robustness in Machine Learning

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

Open Access status: closed

Funder: Southeast University

OpenAlex ID: W4409156040

FWCI:

Cites: 29

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Related to: 10