Adversarial Vulnerabilities of Learned Telesurgery Policies

While not yet in clinical deployment, learning-based policies are increasingly considered to augment the dexterity of human surgeons in robot-assisted surgery. Can the end-to-end mapping from visual observations to robot actions be vulnerable to adversarial attacks? We present the first study of adv