Robust-Wide: Robust Watermarking against Instruction-driven Image Editing

Kavli Affiliate: Ting Xu | First 5 Authors: Runyi Hu, Jie Zhang, Ting Xu, Jiwei Li, Tianwei Zhang | Summary: Instruction-driven image editing allows users to quickly edit an image according to text instructions in a forward pass. Nevertheless, malicious users can easily exploit this technique to create fake images, which could cause a crisis […]


Continue.. Robust-Wide: Robust Watermarking against Instruction-driven Image Editing

Low-Dose CT Reconstruction Using Dataset-free Learning

Kavli Affiliate: Feng Wang | First 5 Authors: Feng Wang, Renfang Wang, Bo Yang, Hong Qiu, | Summary: Low-Dose computer tomography (LDCT) is an ideal alternative to reduce radiation risk in clinical applications. Although supervised-deep-learning-based reconstruction methods have demonstrated superior performance compared to conventional model-driven reconstruction algorithms, they require collecting massive pairs of low-dose and […]


Continue.. Low-Dose CT Reconstruction Using Dataset-free Learning

Low-Dose CT Reconstruction Using Dataset-free Learning

Kavli Affiliate: Feng Wang | First 5 Authors: Feng Wang, Renfang Wang, Hong Qiu, , | Summary: Low-Dose computer tomography (LDCT) is an ideal alternative to reduce radiation risk in clinical applications. Although supervised-deep-learning-based reconstruction methods have demonstrated superior performance compared to conventional model-driven reconstruction algorithms, they require collecting massive pairs of low-dose and norm-dose […]


Continue.. Low-Dose CT Reconstruction Using Dataset-free Learning

Low-Dose CT Reconstruction Using Dataset-free Learning

Kavli Affiliate: Feng Wang | First 5 Authors: Feng Wang, Renfang Wang, Hong Qiu, , | Summary: Low-Dose computer tomography (LDCT) is an ideal alternative to reduce radiation risk in clinical applications. Although supervised-deep-learning-based reconstruction methods have demonstrated superior performance compared to conventional model-driven reconstruction algorithms, they require collecting massive pairs of low-dose and norm-dose […]


Continue.. Low-Dose CT Reconstruction Using Dataset-free Learning

Universal Prompt Optimizer for Safe Text-to-Image Generation

Kavli Affiliate: Xiang Zhang | First 5 Authors: Zongyu Wu, Hongcheng Gao, Yueze Wang, Xiang Zhang, Suhang Wang | Summary: Text-to-Image (T2I) models have shown great performance in generating images based on textual prompts. However, these models are vulnerable to unsafe input to generate unsafe content like sexual, harassment and illegal-activity images. Existing studies based […]


Continue.. Universal Prompt Optimizer for Safe Text-to-Image Generation

Universal Prompt Optimizer for Safe Text-to-Image Generation

Kavli Affiliate: Xiang Zhang | First 5 Authors: Zongyu Wu, Hongcheng Gao, Yueze Wang, Xiang Zhang, Suhang Wang | Summary: Text-to-Image (T2I) models have shown great performance in generating images based on textual prompts. However, these models are vulnerable to unsafe input to generate unsafe content like sexual, harassment and illegal-activity images. Existing studies based […]


Continue.. Universal Prompt Optimizer for Safe Text-to-Image Generation

Superconducting qubit readout enhanced by path signature

Kavli Affiliate: Irfan Siddiqi | First 5 Authors: Shuxiang Cao, Zhen Shao, Jian-Qing Zheng, Mohammed Alghadeer, Simone D Fasciati | Summary: Quantum non-demolition measurement plays an essential role in quantum technology, crucial for quantum error correction, metrology, and sensing. Conventionally, the qubit state is classified from the raw or integrated time-domain measurement record. Here, we […]


Continue.. Superconducting qubit readout enhanced by path signature

Disambiguated Node Classification with Graph Neural Networks

Kavli Affiliate: Xiang Zhang | First 5 Authors: Tianxiang Zhao, Xiang Zhang, Suhang Wang, , | Summary: Graph Neural Networks (GNNs) have demonstrated significant success in learning from graph-structured data across various domains. Despite their great successful, one critical challenge is often overlooked by existing works, i.e., the learning of message propagation that can generalize […]


Continue.. Disambiguated Node Classification with Graph Neural Networks

Quantum Melting of a Disordered Wigner Solid

Kavli Affiliate: Feng Wang | First 5 Authors: Ziyu Xiang, Hongyuan Li, Jianghan Xiao, Mit H. Naik, Zhehao Ge | Summary: The behavior of two-dimensional electron gas (2DEG) in extreme coupling limits are reasonably well-understood, but our understanding of intermediate region remains limited. Strongly interacting electrons crystalize into a solid phase known as the Wigner […]


Continue.. Quantum Melting of a Disordered Wigner Solid