Yuzheng Tan — accepted AI-conference papers

2026

Dual-Seed Evolutionary Algorithm for Noise Optimization in Diffusion Models

Yuzheng Tan, Yuan He, Yao Zhu, Tianlin Huo, Huanqian Yan, Hang Su +2

AAAI 2026technical

Diffusion models have emerged as state-of-the-art generative methods, particularly excelling in conditional tasks such as prompt-driven image synthesis. While recent research emphasizes the pivotal role of noise seeds in enhancing text-image alignment and generating human-preferred outputs,these wor

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2026

Phantom: Physical Object Interactions as Dynamic Triggers for NMS-Exploited Backdoors

Tianlin Huo, Dongchuan Ran, Ranjie Duan, Yao Zhu, Peilun Du, Ningbo Yao +6

CVPR 2026

Backdoor attacks pose potential threats to object detection models, highlighting the importance of studying their security. However, existing backdoor attacks mainly rely on trigger-specific intrinsic features, which limits their practicality in real-world scenarios. In this paper, we propose a nove

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