Elevation of Machine Learning Security Game
Elevation of Machine Learning Security Game is backordered and will ship as soon as it is back in stock.
Outcome
Outcome
Identify security 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.
68 cards
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
- 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
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