Elevation of Machine Learning Security Game
Description
Description
Created by Elias Brattli Sørensen, Elevation of MLSec is a threat modeling card game inspired by Adam Shostack’s Elevation of Privilege game, and based on the risk framework published by the Berryville Institute of Machine Learning (BIML).
These playing cards portray risks associated with Machine Learning systems that have been identified by research groups.
The cards are arranged in 4 threat categories (or "suits"). The ten components from the BIML-78 risk analysis are mapped to these 4 suits: Dataset risks (Raw, Training, Assembly), Model risks (Algorithm, Evaluation, Model), Input risks and Output risks.
The inference risks and system wide risks are applied to categories where the individual risk fits best. There are also a few LLM risks to give the deck a little flavour.
Elevation of MLSec is © 2024 Kantega AS
Bulk Pricing
Bulk Pricing
Automatically applied at checkout:
Buy | Discount |
---|---|
5 or more decks | 10% off |
10 or more decks | 15% off |
20 or more decks | 20% off |
30 or more decks | 30% off |
Outcome
Outcome
Identify Machine Learning work that needs doing earlier in the project lifecycle. Defuse difficult relationships. Build trust. Bring teams together in peace and harmony.
Made by Agile Stationery
Made by Agile Stationery
Experts in delivering the right kind of conversations. Slick cards in robust boxes. The best there is outside the casinos.
Specifications
Specifications
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SuitsDataset risks (Raw, Training, Assembly), Model risks (Algorithm, Evaluation, Model), Input risks , Output risks
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# Cards
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Created by
Try a branded version
Try a branded version
If you'd like to encourage the use of this technique within your team or organisation, a branded deck is a great way to demonstrate your support and commitment to the process.
How to play?

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