3 papers
cs.CV2026
NFCDS: A Plug-and-Play Noise Frequency-Controlled Diffusion Sampling Strategy for Image Restoration
Zhen Wang, Hongyi Liu, Jianing Li +1
Diffusion sampling-based Plug-and-Play (PnP) methods produce images with high perceptual quality but often suffer from reduced data fidelity, primarily due to the noise introduced…
cs.CV2025
NAPPure: Adversarial Purification for Robust Image Classification under Non-Additive Perturbations
Junjie Nan, Jianing Li, Wei Chen +2
Adversarial purification has achieved great success in combating adversarial image perturbations, which are usually assumed to be additive. However, non-additive adversarial pertur…
cs.CV2024
Classifier Guidance Enhances Diffusion-based Adversarial Purification by Preserving Predictive Information
Mingkun Zhang, Jianing Li, Wei Chen +2
Adversarial purification is one of the promising approaches to defend neural networks against adversarial attacks. Recently, methods utilizing diffusion probabilistic models have a…