Boosting the Transferability of Adversarial Attacks with Semantic-Invariance and Low-Gradient Replacement
Deepneural networks are highly vulnerable to adversarial examples, which are generatedby introducing subtle perturbations to input data to mislead model classification. Currently,transfer-based attacks are prevalent in adversarial example generation and canbe categorized into input transformation-based and gradient-bas...