activity
20232026
most citedA Closer Look at GAN Priors: Exploiting Intermediate Features for Enhanced Model Inversion Attacks

2 citations · 3 across the 4 of their papers we have counts for

collaborators
Showing cs.CVShow all

2 papers · 1 filter

cs.CV2024★ 2 cited

A Closer Look at GAN Priors: Exploiting Intermediate Features for Enhanced Model Inversion Attacks

Yixiang Qiu, Hao Fang, Hongyao Yu +3

Model Inversion (MI) attacks aim to reconstruct privacy-sensitive training data from released models by utilizing output information, raising extensive concerns about the security…

cs.CV2024

Hierarchical Features Matter: A Deep Exploration of Progressive Parameterization Method for Dataset Distillation

Xinhao Zhong, Hao Fang, Bin Chen +4

Dataset distillation is an emerging dataset reduction method, which condenses large-scale datasets while maintaining task accuracy. Current parameterization methods achieve enhance…