Attacking Video Recognition Systems via Adversarial Logo Style Transfer

A novel attack framework, LogoStyleFool, is proposed to fool video recognition systems by superimposing a stylized logo on the input video, achieving superior attack performance and semantic preservation compared to existing patch-based attacks.