I’m quite conflicted about this — I think I like it:
Shaped a bit like a disco ball, the Humanity Star is a 3-foot-wide carbon fiber sphere, made up of 65 panels that reflect the Sun’s light. The satellite is supposed to spin in space, too, so it’s constantly bouncing sunlight. In fact, the probe is so bright that people can see it with the naked eye. The Humanity Star’s orbit also takes it all over Earth, so the satellite will be visible from every location on the planet at different times. Rocket Lab has set up a website that gives real-time updates about the Humanity Star’s location. People can find out when the satellite will be closest to them, and then go outside to look for it. The goal of the project is to create “a shared experience for all of humanity,” according to Rocket Lab.
‘Speech recognition (SR) systems such as Siri or Google Now have become an increasingly popular human-computer interaction method, and have turned various systems into voice controllable systems(VCS). Prior work on attacking VCS shows that the hidden voice commands that are incomprehensible to people can control the systems. Hidden voice commands, though hidden, are nonetheless audible. In this work, we design a completely inaudible attack, DolphinAttack, that modulates voice commands on ultrasonic carriers (e.g., f > 20 kHz) to achieve inaudibility. By leveraging the nonlinearity of the microphone circuits, the modulated low frequency audio commands can be successfully demodulated, recovered, and more importantly interpreted by the speech recognition systems. We validate DolphinAttack on popular speech recognition systems, including Siri, Google Now, Samsung S Voice, Huawei HiVoice, Cortana and Alexa. By injecting a sequence of inaudible voice commands, we show a few proof-of-concept attacks, which include activating Siri to initiate a FaceTime call on iPhone, activating Google Now to switch the phone to the airplane mode, and even manipulating the navigation system in an Audi automobile. We propose hardware and software defense solutions. We validate that it is feasible to detect DolphinAttack by classifying the audios using supported vector machine (SVM), and suggest to re-design voice controllable systems to be resilient to inaudible voice command attacks.’ via Zeynep (https://twitter.com/zeynep/status/956520320504123392)