A Content-Adaptive Steganographic Backdoor Attack Scheme for Lightweight Multi-Label Image Classification
|更新时间:2026-10-09
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A Content-Adaptive Steganographic Backdoor Attack Scheme for Lightweight Multi-Label Image Classification
Journal on Communications(2026)
作者机构:
1.西安邮电大学通信与信息工程学院,陕西 西安 710121
2.西安邮电大学网络空间安全学院,陕西 西安 710121
3.女王大学电气与计算机工程系,加拿大 金斯顿 K7L 3N6
作者简介:
基金信息:
The National Natural Science Foundation of China(62072371;62672405);the Mid-Aged and Young Science and Technology Innovation Leading Talent Program of Xi'an(25ZQRC00017)
Zhang Xinwei, Lai Chengzhe, Cao jie, et al. A Content-Adaptive Steganographic Backdoor Attack Scheme for Lightweight Multi-Label Image Classification[J/OL]. Journal on Communications, 2026.
DOI:
Zhang Xinwei, Lai Chengzhe, Cao jie, et al. A Content-Adaptive Steganographic Backdoor Attack Scheme for Lightweight Multi-Label Image Classification[J/OL]. Journal on Communications, 2026.DOI: 10.11959/j.issn.1000-436x.TXXB260511.
A Content-Adaptive Steganographic Backdoor Attack Scheme for Lightweight Multi-Label Image Classification