Selecting Models based on the Risk of Damage Caused by Adversarial Attacks

Regulation, legal liabilities, and societal concerns challenge the adoption of AI in safety and security-critical applications. One of the key concerns is that adversaries can cause harm by manipulating model predictions without being detected. Regulation hence demands an assessment of the risk of d...

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Veröffentlicht in:	arXiv.org 2023-01
Hauptverfasser:	Klemenc, Jona, Trittenbach, Holger
Format:	Artikel
Sprache:	eng
Schlagworte:	Damage Legal liability
Online-Zugang:	Volltext
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