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ASPRET (Anti-Spoofing Pattern REcognition Technology™) is the result of a research started to give answers to some issues raised in the DARPA GARD (Guaranteeing AI Robustness against Deception) program.

 

 

 

 

 

In the figure above: a CNN neural network has been trained to recognize fighter jet models. A GAN neural network was trained to generate physically feasible deception patterns for targeted black-box attacks.

 

 

 

 

 

FREE DECEPTION PATTERNS

(easy task for GAN)

 

PHYSICALLY FEASIBLE DECEPTION PATTERNS

(linear increase in complexity)

 

PHYSICALLY CONSTRAINED DECEPTION PATTERNS

(exponential increase in complexity)

 

 

 

 

 

 

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General Synaptics

Aerospace_&_Defence_Machine_Learning_Company

VAT NUMBER:_IT0267070992

REA NUMBER: GE-503104

NATO_CAGE_CODE:_AK845

Email:_luca.marchese@synaptics.org

 

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