A Transferable Targeted Adversarial Attack Method Based on Feature Interpretation and Dynamic Optimization.
Deep neural networks (DNNs) are widely applied in critical fields but remain vulnerable to adversarial attacks. Among them, transferable targeted adversarial attacks in black-box scenarios are particularly dangerous, as they can mislead models into predicting specified target labels. Existing methods improve targeted t...