9 papers
A Benchmark Dataset for MLLM-Generated Image Detection: GPT Image2 & Nano Banana2
Zirui Zhang, Yinbo Yu, Donghai Guan +3
The realism of images generated by multimodal large language models (MLLMs), such as GPT Image2 and Nano Banana2, has improved rapidly in recent years. Compared with early generati…
Physically-Constrained Mamba-SDE for Remaining Useful Life Prediction under Irregular Observations
Deyu Zhuang, Peiliang Gong, Yang Shao +4
Accurate Remaining Useful Life prediction is critical for industrial predictive maintenance. However, real-world deployment is challenging due to the irregular nature of sensor obs…
Fast and Lightweight Backdoor Detection via Head Random Probing
Yinbo Yu, Xueyu Yin, Jing Fang +4
Deep neural networks (DNNs) remain critically vulnerable to backdoor attacks. Existing post-training detectors often require clean or surrogate data, gradients, or iterative trigge…
Lightweight and Fast Backdoor Model Detection
Yinbo Yu, Jing Fang, Xuewen Zhang +4
Deep neural networks (DNN), despite their remarkable performance, are highly vulnerable to backdoor attacks. Existing defenses mainly rely on activation anomaly analysis or trigger…
MAPLE: Multi-scale Attribute-enhanced Prompt Learning for Few-shot Whole Slide Image Classification
Junjie Zhou, Wei Shao, Yagao Yue +4
Prompt learning has emerged as a promising paradigm for adapting pre-trained vision-language models (VLMs) to few-shot whole slide image (WSI) classification by aligning visual fea…
MorphSAM: Learning the Morphological Prompts from Atlases for Spine Image Segmentation
Dingwei Fan, Junyong Zhao, Chunlin Li +5
Spine image segmentation is crucial for clinical diagnosis and treatment of spine diseases. The complex structure of the spine and the high morphological similarity between individ…