Yanli Ren

Leveraging Spatial Invariance to Boost Adversarial Transferability

Adversarial examples, crafted with imperceptible perturbations, reveal a significant vulnerability of Deep Neural Networks (DNNs). More critically, the transferability of adversarial examples allows attackers to induce unreasonable predictions without requiring knowledge about the target model. DNNs…