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Home/Authors/Yiyang Zhang

Yiyang Zhang

2 indexed papers

Recent (6 mo)
2
With code
0
Influential cites
0
Benchmarked
0

Publications per year

2
26

Top categories

Sound×1AI×1Crypto×1ML×1

Frequent co-authors

Chen Yang1×
Chufan Yu1×
Hanfu Chen1×
Jie Zhu1×
Jingqi Chen1×
Ke Chen1×

Research Timeline

2026
Stealthy and Adjustable Text-Guided Backdoor Attacks on Multimodal Pretrained Models

The paper proposes a novel Text-Guided Backdoor (TGB) attack that uses common words in text descriptions as stealthy triggers for multimodal models, enhancing practicality and controllability.

MOSS-Audio Technical Report

MOSS-Audio is a unified audio-language model designed for comprehensive understanding of speech, environmental sounds, and music, achieving strong performance across various audio-grounded tasks.

Highlighted terms show continued research focus across papers

Papers

cs.SDcs.AIRecentJun 1, 2026

MOSS-Audio Technical Report

Chen Yang, Chufan Yu, Hanfu Chen, Jie Zhu +21 more

MOSS-Audio is a unified audio-language model designed for comprehensive understanding of speech, environmental sounds, and music, achieving strong performance across various audio-grounded tasks.

View →
cs.CRcs.LGRecentApr 7, 2026

Stealthy and Adjustable Text-Guided Backdoor Attacks on Multimodal Pretrained Models

Yiyang Zhang, Chaojian Yu, Ziming Hong, Yuanjie Shao +3 more

The paper proposes a novel Text-Guided Backdoor (TGB) attack that uses common words in text descriptions as stealthy triggers for multimodal models, enhancing practicality and controllability.

View →