Thanks! I was able to download it from the mailing list site.

Here’s one that was posted to the safe software panel list at Internet Safety Labs. It’s from a recent paper from NIST titled 'Adversarial Machine Learning: A Taxonomy and Terminology of Attacks and Mitigations.”It discusses how training data can be “poisoned” in Generative and Predictive AI models.
Screenshot 2024-01-31 at 8.24.25 PM.png

Noreen

On Feb 2, 2024, at 2:52 PM, maxine most <cmaxmost@acuity-mi.com> wrote:



We should collect as many as possible …  ultimately, It would be nice to see if we can create a normalized way to view this as part of our work.

 

 

 

C. Maxine Most 

Principal, Acuity Market Intelligence

+1 720 530 5836

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

www.acuitymi.com

   
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From: Bachenheimer, Daniel <daniel.bachenheimer@accenture.com>
Date: Friday, February 2, 2024 at 12:47 PM
To: maxine most <cmaxmost@acuity-mi.com>, dg-deepfakesidv@kantarainitiative.org <dg-deepfakesidv@kantarainitiative.org>
Subject: RE: trying again to send this image

Thanks Max; I like IDR&D’s as well:

 

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Thank You,

Daniel Bachenheimer

Digital Identity Innovations |  Technology Lead

Office: Arlington, VA  |  USA

Direct:  +1 703.947.1659  |  Mobile:  +1 202.251.7073

Email: daniel.bachenheimer@accenture.com

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From: maxine most <cmaxmost@acuity-mi.com>
Sent: Friday, February 2, 2024 2:31 PM
To: dg-deepfakesidv@kantarainitiative.org
Subject: [External] [DG-DeepfakesIDV] trying again to send this image

 

CAUTION: External email. Be cautious with links and attachments.

 

Thought this was useful to understand the threat vectors.

 

 

 

 

 

C. Maxine Most 

Principal, Acuity Market Intelligence

+1 720 530 5836

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

www.acuitymi.com

   
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