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Elevation of Machine Learning Security Game

£28.80

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

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: 

  1. Dataset risks (Raw, Training, Assembly)
  2. Model risks (Algorithm, Evaluation, Model)
  3. Input risks 
  4. 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

How to play?

  • Set the stage

    Before dealing, sketch a simple diagram of the system on a whiteboard, paper, or digital tool, just enough to show key components and data flows.

  • Deal the cards

    Shuffle the deck and deal all the cards to 3-6 players. Each player organizes their hand by suit (but no peeking at your neighbour’s cards!).

  • Let the game begin

    Decide which player starts. The player who starts reads their card and explains how the threat could affect the system.

  • Winning

    Players take turns with the threats in that suit, with the highest card winning the round. The winner leads the next
    round until all cards are played.

Hybrid teams? No problem

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