4 papers · 1 filter
Beyond the Last Layer: Global Inter-Layer Aggregation for AI-Generated Image Detection
Wenbin Shen, Zhichao Lian
The rapid development of generative models has made AI-generated images increasingly close to real images. It has also brought several challenges to detectors, including rapid gene…
Looking From the Future: Multi-order Iterations Can Enhance Adversarial Attack Transferability
Zijian Ying, Qianmu Li, Tao Wang +3
Various methods try to enhance adversarial transferability by improving the generalization from different perspectives. In this paper, we rethink the optimization process and propo…
Boost Adversarial Transferability by Uniform Scale and Mix Mask Method
Tao Wang, Zijian Ying, Qianmu Li +1
Adversarial examples generated from surrogate models often possess the ability to deceive other black-box models, a property known as transferability. Recent research has focused o…
Understanding CNNs from excitations
Zijian Ying, Qianmu Li, Zhichao Lian +3
Saliency maps have proven to be a highly efficacious approach for explicating the decisions of Convolutional Neural Networks. However, extant methodologies predominantly rely on gr…