Towards Resilient Artificial Intelligence: Survey and Research Issues
📖 Description
Towards Resilient Artificial Intelligence: Survey and Research Issues Oliver Eigner, Sebastian Eresheim, Peter Kieseberg, Lukas Daniel Klausner, Martin Pirker, Torsten Priebe, Simon Tjoa Institute of IT Security Research St. P?lten University of Applied Sciences [email address redacted] Fiammetta Marulli Department of Mathematics and Physics University of Campania ?Luigi Vanvitelli? [email address redacted] Mercaldo Department of Medicine and Health Sciences ?Vincenzo Tiberio? University of Molise [email address redacted] Abstract ?Artificial intelligence (AI) systems are be- coming critical components of today?s IT landscapes. Their resilience against attacks and other environmental influences needs to be ensured just like for other IT assets. Considering the particular nature of AI, and machine learning (ML) in particular, this paper provides an overview o...
📊 Game Impacts
Not verified in gameWhich variables this event was proposed to move, and in which direction. The magnitudes are held in the corpus but are not shown here, because they have not been verified against the shipped game. They come from pdoom-data. They describe what an event was proposed to do, not what the shipped game does with it. Most events in the corpus are flavour: they are shown for colour and do not move any game variable. Only a small minority reach the systems below, and several of the variables listed here are not read by the game at all yet. Treat this table as a design proposal under review, not as a measurement of play. Corrections and arguments are welcome — the suggestion links at the foot of this page go straight to the data repo.
| Variable | Direction | Condition |
|---|---|---|
| Research | proposed: up | Always |
| Papers | proposed: up | Always |
| Vibey Doom | proposed: up | Always |
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This event data is sourced from the pdoom-data repository. If you notice errors or want to suggest improvements:
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