Yulu Miao

Latentadv: adversarial attack for object detection via latent space optimization

LatentAdv, an adversarial camouflage generation framework that integrates ControlNet-based reference style generation and variational autoencoder (VAE) latent space optimization, is proposed, which provides a feasible solution for balancing attack performance and visual naturalness in adversarial object detection.