12 citations · 12 across the 3 of their papers we have counts for
3 papers
cs.CV2024
Gradient-Guided Conditional Diffusion Models for Private Image Reconstruction: Analyzing Adversarial Impacts of Differential Privacy and Denoising
Tao Huang, Jiayang Meng, Hong Chen +4
We investigate the construction of gradient-guided conditional diffusion models for reconstructing private images, focusing on the adversarial interplay between differential privac…
eess.IV2019★ 12 cited
Reversible Adversarial Attack based on Reversible Image Transformation
Zhaoxia Yin, Hua Wang, Li Chen +2
In order to prevent illegal or unauthorized access of image data such as human faces and ensure legitimate users can use authorization-protected data, reversible adversarial attack…
cs.CV2019
An Efficient Pre-processing Method to Eliminate Adversarial Effects
Hua Wang, Jie Wang, Zhaoxia Yin
Deep Neural Networks (DNNs) are vulnerable to adversarial examples generated by imposing subtle perturbations to inputs that lead a model to predict incorrect outputs. Currently, a…