Tuo Chen — accepted AI-conference papers

2026

Diffusion Probe: Generated Image Result Prediction Using CNN Probes

Bukun Huang, Benlei Cui, Zhizeng Ye, Xuemei Dong, Tuo Chen, Hui Xue +4

CVPR 2026

Text-to-image (T2I) diffusion models currently lack an efficient mechanism for early quality assessment, forcing costly random trial-and-error in scenarios requiring multiple generations (e.g., iterating on prompts, agent-based image generation, flow-grpo). To address this, we first reveal a strong

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2025

Backdooring Self-Supervised Contrastive Learning by Noisy Alignment

Tuo Chen, Jie Gui, Minjing Dong, Ju Jia, Lanting Fang, Jian Liu

ICCV 2025poster

Self-supervised contrastive learning (CL) effectively learns transferable representations from unlabeled data containing images or image-text pairs but suffers vulnerability to data poisoning backdoor attacks (DPCLs). An adversary can inject poisoned images into pretraining datasets, causing comprom…

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