Researchers Built an Invisible Backdoor to Hack AI’s Decisions

A team of NYU researchers has discovered a way to manipulate the artificial intelligence that powers self-driving cars and image recognition by installing a secret backdoor into the software…“We saw that people were increasingly outsourcing the training of these networks, and it kind of set off alarm bells for us,” Brendan Dolan-Gavitt, a professor at NYU, wrote to Quartz. “Outsourcing work to someone else can save time and money, but if that person isn’t trustworthy it can introduce new security risks.”