Architecture-Agnostic Feature Synergy for Universal Defense Against Heterogeneous Generative Threats

Researchers propose ATFS, a new framework that provides universal defense against multiple generative AI architectures simultaneously, overcoming limitations of current defense mechanisms that only work against specific AI models. The system achieves over 90% protection effectiveness within 40 iterations and works across different generative models including Diffusion Models, GANs, and VQ-VAE.