31 citations · 37 across the 5 of their papers we have counts for
5 papers
Rethinking the editing of generative adversarial networks: a method to estimate editing vectors based on dimension reduction
Yuhan Cao, Haoran Jiang, Zhenghong Yu +2
While Generative Adversarial Networks (GANs) have recently found applications in image editing, most previous GAN-based image editing methods require largescale datasets with seman…
Understanding the Importance of Single Directions via Representative Substitution
Li Chen, Hailun Ding, Qi Li +3
Understanding the internal representations of deep neural networks (DNNs) is crucal to explain their behavior. The interpretation of individual units, which are neurons in MLPs or…
Adversarial Example in Remote Sensing Image Recognition
Li Chen, Guowei Zhu, Qi Li +1
With the wide application of remote sensing technology in various fields, the accuracy and security requirements for remote sensing images (RSIs) recognition are also increasing. I…
Understanding the Importance of Single Directions via Representative Substitution
Li Chen, Hailun Ding, Qi Li +3
Understanding the internal representations of deep neural networks (DNNs) is crucal to explain their behavior. The interpretation of individual units, which are neurons in MLPs or…
A Data-driven Adversarial Examples Recognition Framework via Adversarial Feature Genome
Li Chen, Qi Li, Weiye Chen +2
Adversarial examples pose many security threats to convolutional neural networks (CNNs). Most defense algorithms prevent these threats by finding differences between the original i…