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Neural Voice Camouflage

17,133
Posts
12
Years
    • she / they
    • Seen Jan 12, 2024
    Just how real is Google deep-mind? Do you actually think your technology is spying on you in new and invasive ways? Are those security updates really looking out for your best interest? Or, maybe you're just paranoid!

    Regardless, enough concern has been generated that a new AI known as "Neural Voice Camouflage" can prevent your devices from eavesdropping on your conversations. The whole point is to replace any distinguishable language with abstract, indecipherable noise. Companies have been known to use "bossware" to monitor their employees when they're near their computers, giving them virtual auditory access to your private conversations. There's a multitude of spyware apps that are recording your phone calls and tracking your personal information. Even home devices such as Amazon's Echo can record everyday conversations.

    The new AI claims to use an "adversarial attack" of sorts. The strategy utilizes machine learning, in which algorithms find patterns in data, to tweak sounds in a way that causes an AI, but not the human ear, to mistake it for white noise. Essentially, the idea is to combat one AI listening device with another AI voice scrambling device.
    The scientists overlaid the output of their system onto recorded speech as it was being fed directly into one of the automatic speech recognition (ASR) systems that might be used by eavesdroppers to transcribe. The system increased the ASR software's word error rate from 11.3% to 80.2%. "I'm nearly starved myself, for this conquering kingdoms is hard work," for example, was transcribed as "im mearly starme my scell for threa for this conqernd kindoms as harenar ov the reson".

    The error rates for speech disguised by white noise and a competing adversarial attack (which, lacking predictive capabilities, masked only what it had just heard with noise played half a second too late) were only 12.8% and 20.5%, respectively. The work was presented in a paper last month at the International Conference on Learning Representations, which peer reviews manuscript submissions.
    But, isn't it just as likely that these AI meant to disrupt human speech are just as capable of recording, recognizing, and employing the same technology their creator's insist to eliminate? Where do you draw your personal when it comes to machine learning being easily manipulated and do you see yourself using a technology like this? Maintaining privacy is hard work, where do you see yourself on the spectrum of AI security?

    It could all be in your head too. ¯\_(ツ)_/¯
     

    NearAutomas

    Acoustic Wonderbag
    138
    Posts
    2
    Years
    • Seen Jul 6, 2022
    I'm of the paranoid with a calm demeanor variety. This is essentially what I thought, sometimes I think to myself that it's probably ridiculous to assume that a program that's suppose to help keep your privacy safe can hypothetically do the opposite, right? There are people out there that genuinely want to help, so why should I worry? But maybe I'm being to trustful, things can change I mean Companies will say this but mean another, what with the Volkswagen emission scandal! Then again you could argue that there isn't any evidence, but no company is squeaky clean. I could see myself using something like this and trying to figure it out, de constructing and learning how and why it operates this way. I guess I'm on the middle here.

    Personally, I inspect, research and read lots of books, articles, and watch videos about it, I will say that it's getting a bit harder to find factual information instead of BS, thankfully though, they aren't very prominent. I've been studying cryptography and Network security for a year now. Most would say learning more about something you fear becomes less scary, but with this it's a mixture of both awe and terror. I like it.
     

    Roxas

    [span="color: #d10303; font-size: 10px; letter-sp
    72
    Posts
    12
    Years
  • I think developments like these are very useful for preserving a sense of privacy. More privacy gets stripped away, the more creative we'll have to be in order to innovate ways to fight back
     
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