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Paul Starrett's avatar

It is nice to see an RQ type of approach and we need so much more of it. Thank you! I am similarly motivated and in significant ways. I presented at SIRAcon in 2023 on quantification of adversarial machine learning and, very coincidentally, next week, I will be donating the script to a popular open source project (I will post more here soon). This script works on tabular data which is not common - most public training data is MNIST and image attacks! It also uses PyFAIR (https://pyfair.readthedocs.io/en/latest/#). I'm OpenFAIR certified and my co-founder is a specialist in decision sciences. So we are brethren. AI red teams and blue teams are also leveraging open source tools but much more attention needs to be paid to Cyber Risk Quantification (CRQ) and FAIR. I would love to learn more about these tools mentioned in this post.

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Better ISMS's avatar

Currently documenting our AI security programme and the vulnerabilities we're looking for. Your article is the best starting point I'm aware of.

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