On the Adversarial Transferability of Generalized "Skip Connections"

Researchers discovered that skip connections in deep neural networks make adversarial attacks more transferable across different AI models. They developed the Skip Gradient Method (SGM) which exploits this vulnerability in ResNets, Vision Transformers, and even Large Language Models to create more effective adversarial examples.