Why anyone would want to hack a self-driving car, knowing that it could result in a death? One reason is that widespread deployment of autonomous vehicles is going to result in a lot of unemployed people, and some of them are going to be angry.
Last year, researchers at the University of South Carolina, China’s Zhejiang University, and the Chinese security firm Qihoo 360 demonstrated that they could jam various sensors on a Tesla S, making objects invisible to its navigation system.
Asked about its plans for addressing the threat of adversarial machine learning, Sarah Abboud, a spokesperson for Uber, responded: “Our team of security experts are constantly exploring new defenses for the future of autonomous vehicles, including data integrity and abuse detection. However, as autonomous technology evolves, so does the threat model, which means some of today’s security issues will likely differ from those addressed in a truly autonomous environment.”