I picked up the pen to write the first draft on Prevention and Countermeasures against Deepfakes for the content pages. I will add non-liveness as a discussion point.

On Fri, Apr 5, 2024 at 5:13 PM <michael.f@fintechnologygroup.com> wrote:

Apologies if I’m rambling on this one.

 

What’s gray isn’t a part of the process and needs to be defined and built(I’ll explain why it’s critical), what’s in yellow is a data source we could have access too.

 

Michael F. Roche

FintechnologyGroup.com

Michael.f@fintechnologygroup.com

Cell: (216)346-9066

 

***Proprietary and Confidential

 

From: michael.f@fintechnologygroup.com <michael.f@fintechnologygroup.com>
Sent: Friday, April 5, 2024 5:01 PM
To: 'maxine most' <cmaxmost@acuity-mi.com>; 'Jay Meier' <jay@facetec.com>
Cc: 'Olsen, Chris D.' <Chris.D.Olsen@disney.com>; 'Andrew Hughes' <andrewhughes3000@gmail.com>; 'Prvu, Denny (He/Him/His)' <denny.prvu@rbc.com>; dg-deepfakesidv@kantarainitiative.org
Subject: RE: [DG-DeepfakesIDV] Re: How to detect AI deepfakes - The Washington Post

 

Just to be clear. non-Liveness/Biometric solution would be like KBA, 2FA/MFA, Security Tokens, SMS/Email verification, certificate/public keys, and captcha.

 

If so, I just saw a great demo on a solution that handles something similar but it’s after-the event.

 

Had me thinking…before the deepfake is made you do a facial biometric type captcha

  •  then when it’s done you go and make your deepfake.
    • Make the deepfake
      • Move to mobile authentication
        • authenticate on the phone with SMS > and the back of your drivers license. They have hooks into all the DMVs, and wireless carriers.

 

Only way to beat it would be ..I think

  • Steal a real license id.
  • Then set up a cell phone in the name of who you’re trying to deepfake
  • Physically be at the address of the person you’re trying to deepfake

 

Michael F. Roche

FintechnologyGroup.com

Michael.f@fintechnologygroup.com

Cell: (216)346-9066

 

***Proprietary and Confidential

 

From: maxine most <cmaxmost@acuity-mi.com>
Sent: Friday, April 5, 2024 3:59 PM
To: Jay Meier <jay@facetec.com>
Cc: Olsen, Chris D. <Chris.D.Olsen@disney.com>; Andrew Hughes <andrewhughes3000@gmail.com>; Prvu, Denny (He/Him/His) <denny.prvu@rbc.com>; dg-deepfakesidv@kantarainitiative.org
Subject: [DG-DeepfakesIDV] Re: How to detect AI deepfakes - The Washington Post

 

I I'm not  opposed  to expanding to include this, but do we have someone who's willing to do the research and provide the content?

 

C. Maxine Most

Principal, Acuity Market Intelligence

+1 720 530 5836

 

On Apr 5, 2024, at 12:57PM, Jay Meier <jay@facetec.com> wrote:

 I have a question about this content….

 

I’ve asked numerous time, if we should consider non-Liveness/Biometric solutions to the AI-DeepFake problem.  This article is a good example of alternative solutions that we “could” include/address in our work.  

 

Thoughts??

 

J

 

Jay Meier
Senior Vice President - North American Operations
jay@facetec.com  |  612-978-3687

 
www.FaceTec.com  |  www.Liveness.com  |  www.SpoofBounty.com 
 
Confidentiality Notice: This message is intended only for the use of the Addressee and may contain information that is privileged and confidential. If you are not the intended recipient, you are hereby notified that any dissemination of this communication is strictly prohibited. Please erase all copies of the message and its attachments.

 

On Apr 5, 2024, at 1:53PM, Olsen, Chris D. <Chris.D.Olsen@disney.com> wrote:

 

Thanks for sharing, Maxine!


The author (Gerrit De Vynck) is not conveying much more than the daily news hype in my opinion. There are a few nuggets in there but the article focuses on how difficult the issue is to solve primarily around image originality.
What does this team wish to help solve? 
One of my concerns is how deep fakes will affect identity proofing and vetting.  

 

Best,

Chris

 

Chris Olsen | CISSP

425-219-5987

Sr. Security Specialist, Identity & Access Management 

Global Information Security | The Walt Disney Company

 

 

 

 

From: maxine most <cmaxmost@acuity-mi.com>
Date: Friday, April 5, 2024 at 11:29AM
To: Andrew Hughes <andrewhughes3000@gmail.com>, Jay Meier <jay@facetec.com>, Prvu, Denny (He/Him/His) <denny.prvu@rbc.com>, dg-deepfakesidv@kantarainitiative.org <dg-deepfakesidv@kantarainitiative.org>
Subject: [DG-DeepfakesIDV] Re: How to detect AI deepfakes - The Washington Post

This Message is From an External Sender
Caution: Do not click links or open attachments unless you recognize the sender and know the content is safe.

Free gift

 

 

 

 

C. Maxine Most 

Principal, Acuity Market Intelligence

+1 720 530 5836

640 W. Linden St, Louisville, CO 80027, USA

<image003.png>

 

From: Andrew Hughes <andrewhughes3000@gmail.com>
Date: Friday, April 5, 2024 at 11:43 AM
To: maxine most <cmaxmost@acuity-mi.com>, Jay Meier <jay@facetec.com>, Prvu, Denny (He/Him/His) <denny.prvu@rbc.com>
Subject: Fwd: [DG-DeepfakesIDV] How to detect AI deepfakes - The Washington Post

Paywall for me...

 

Are any names named? Should they know about our group?

————————

Andrew Hughes CISM 
m +1 250.888.9474
AndrewHughes3000@gmail.com 

 

---------- Forwarded message ---------
From: maxine most <cmaxmost@acuity-mi.com>
Date: Fri, Apr 5, 2024 at 7:55AM
Subject: [DG-DeepfakesIDV] How to detect AI deepfakes - The Washington Post
To: dg-deepfakesidv@kantarainitiative.org <dg-deepfakesidv@kantarainitiative.org>




https://www.washingtonpost.com/technology/2024/04/05/ai-deepfakes-detection/

C. Maxine Most
Principal, Acuity Market Intelligence
www.acuitymi.com
+1 720 530 5836
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