1 citations · 2 across the 10 of their papers we have counts for
10 papers
Hierarchical Anti-Aesthetics: Protecting Facial Privacy against Customized Diffusion Models
Songping Wang, Yueming Lyu, Shiqi Liu +5
The rise of customized diffusion models has fueled a boom in personalized visual content creation, but it also introduces serious risks of malicious misuse, thereby posing threats…
MalURLBench: A Benchmark Evaluating Agents' Vulnerabilities When Processing Web URLs
Dezhang Kong, Zhuxi Wu, Shiqi Liu +8
LLM-based web agents have become increasingly popular for their utility in daily life and work. However, they exhibit critical vulnerabilities when processing malicious URLs: accep…
PixelDiT: Pixel Diffusion Transformers for Image Generation
Yongsheng Yu, Wei Xiong, Weili Nie +3
Latent-space modeling has been the standard for Diffusion Transformers (DiTs). However, it relies on a two-stage pipeline where the pretrained autoencoder introduces lossy reconstr…
Reverse Convolution and Its Applications to Image Restoration
Xuhong Huang, Shiqi Liu, Kai Zhang +4
Convolution and transposed convolution are fundamental operators widely used in neural networks. However, transposed convolution (a.k.a. deconvolution) does not serve as a true inv…
Discrete Differential Principle for Continuous Smooth Function Representation
Guoyou Wang, Yihua Tan, Shiqi Liu
Taylor's formula holds significant importance in function representation, such as solving differential difference equations, ordinary differential equations, partial differential e…
Multimodal Medical Image Binding via Shared Text Embeddings
Yunhao Liu, Suyang Xi, Shiqi Liu +6
Medical image analysis increasingly relies on the integration of multiple imaging modalities to capture complementary anatomical and functional information, enabling more accurate…
Anti-Aesthetics: Protecting Facial Privacy against Customized Text-to-Image Synthesis
Songping Wang, Yueming Lyu, Shiqi Liu +4
The rise of customized diffusion models has spurred a boom in personalized visual content creation, but also poses risks of malicious misuse, severely threatening personal privacy…
Unlearning Concepts from Text-to-Video Diffusion Models
Shiqi Liu, Yihua Tan
With the advancement of computer vision and natural language processing, text-to-video generation, enabled by text-to-video diffusion models, has become more prevalent. These model…
Understanding Generalization via Set Theory
Shiqi Liu
Generalization is at the core of machine learning models. However, the definition of generalization is not entirely clear. We employ set theory to introduce the concepts of algorit…
Understanding Pan-Sharpening via Generalized Inverse
Shiqi Liu, Yihua Tan, Yutong Bai +1
Pan-sharpening algorithms utilize a panchromatic image and a multispectral image to generate a high spatial and high spectral image. However, the optimizations of the algorithms ar…