![]() The machine-learning AI needs to process the whole sound clip before knowing how to tweak it, which doesn’t work when you want to camouflage in real time. The process isn’t as easy as it sounds, however. Essentially, you use one AI to fool another. The new system uses an “ adversarial attack.” The strategy employs machine learning-in which algorithms find patterns in data-to tweak sounds in a way that causes an AI, but not people, to mistake it for something else. It generates custom audio noise in the background as you talk, confusing the artificial intelligence (AI) that transcribes our recorded voices. A new technology, called Neural Voice Camouflage, now offers a defense. And home devices such as Amazon’s Echo can record everyday conversations. Multiple “spyware” apps can record phone calls. Companies use “bossware” to listen to their employees when they’re near their computers.
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