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Task-oriented robust DNN model steganography

delete2026-09-08
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PRE
AI
黄霖 cover
黄霖 (Lin Huang)
P
Pengpeng Li
王巍 cover
王巍 (Wei Wang)
C
Chuan Qin *
G
Guorui Feng
X
Xinpeng Zhang
DOI:10.1016/j.inffus.2026.104758delete
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Abstract

Abstract

En 中文
• Task-oriented steganography for secure transmission of secret DNN models. • Task robustness is enhanced via feature fusion and shared model parameters. • Feature-selected data mixing enables effective task coupling within stego models. • Authorized users access secret tasks in a black-box setting via a secret key. • Extensive experiments validate robustness across models and learning tasks.
Keywords:
DNN model steganography
Task hidden
Feature fusion
Black-box scenario
Robustness

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Information Fusion cover
Information Fusion
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Second Military Medical University
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Gannan Normal University
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shanghai university
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