1 citations · 1 across the 3 of their papers we have counts for
5 papers
On the Information-Theoretic Fragility of Robust Watermarking under Diffusion Editing
Yunyi Ni, Ziyu Yang, Ze Niu +2
Robust invisible watermarking embeds hidden information in images such that the watermark can survive various manipulations. However, the emergence of powerful diffusion-based imag…
Diffusion-Based Image Editing for Breaking Robust Watermarks
Yunyi Ni, Finn Carter, Ze Niu +2
Robust invisible watermarking aims to embed hidden information into images such that the watermark can survive various image manipulations. However, the rise of powerful diffusion-…
Neighborhood Sampling Does Not Learn the Same Graph Neural Network
Zehao Niu, Mihai Anitescu, Jie Chen
Neighborhood sampling is an important ingredient in the training of large-scale graph neural networks. It suppresses the exponential growth of the neighborhood size across network…
FADE: Adversarial Concept Erasure in Flow Models
Zixuan Fu, Yan Ren, Finn Carter +5
Diffusion models have demonstrated remarkable image generation capabilities, but also pose risks in privacy and fairness by memorizing sensitive concepts or perpetuating biases. We…
Distributionally Robust Wireless Semantic Communication with Large AI Models
Long Tan Le, Senura Hansaja Wanasekara, Zerun Niu +7
Semantic communication (SemCom) has emerged as a promising paradigm for 6G wireless systems by transmitting task-relevant information rather than raw bits, yet existing approaches…