A trio of researchers at Purdue today published pre-print research demonstrating a novel adversarial attack against computer vision systems that can make an AI see – or not see – whatever the attacker wants. It’s something that could potentially affect self-driving vehicles, such as Tesla’s, that rely on cameras to navigate and identify objects. Up front: The researchers wanted to confront the problem of digital manipulation in the physical world. It’s easy enough to hack a computer or fool an AI if you have physical access to it, but tricking a closed system is much harder. Per the team’s pre-print…
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