Truth, Trust, and Deepfakes

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In a recent episode of the RadioFreeHPC podcast, where I am a co-host, we discussed Truth, Trust, and Deepfakes in our digital world with a wonderfully insightful guest, Dave Maher. Dave is the CTO of internet security company Intertrust, with a deep knowledge of digital communication, identity management, data rights management, cryptography and digital certificates, blockchain, and much else. This subject is very much in his wheelhouse. I hope we can have Dave back as a guest of The OrionX Download podcast as well so we can go deeper and catch up with the latest advances in battling digital mistrust.

Here is my perspective after our discussion and some side research:

  • The general case is nearly impossible, but specific use cases can be solved provably or to a certain degree probability.
  • Assigning identity, and gathering witness signatures end up being statistical. So I’d say those are the two most challenging items.
  • Identity for people vs. physical things vs. digital things have different trade offs. Speed, scale, transparency, scope of actions, etc. are different.
  • Keys and signatures usually require at least one point where trust is necessary (preferable in hardware) but cannot mathematically be 100% in the general case.
  • One can look at it as
    • Authority
    • Authenticity
    • Provenance
    • Validity
  • The 1st three lead to
    • Signatures, which can be cracked or lost or stolen
    • Modifications of content, which can happen subsequent to creation
    • One way to solve the above is via
      • Irreversible integrity, using Time Stamps
So
      • Signatures are irreversible, and
      • Content is irreversibly linked to source and signature
      • Blockchain is suitable for this kind of use case
  • The 4th one, validity, is a harder problem since verification can be subjective.
  • One way to solve that is to require additional signatures from witnesses, again time-stamped and within a time-window at the point of inception.
  • This requires incentives to solicit and receive additional signatures plus transparency about where those signatures are coming from.
  • The statistical nature of this makes it a sliding scale, even under perfect circumstances where witnesses have no conflict of interest/aren’t bought off, etc.

Needless to say, battling digital mistrust and deepfakes is already a very significant problem. As I like to say, trust is expensive, cherish it if you have it!

 


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