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Safety_Critical_Machine_Learning |
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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. |
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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.
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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_and_Defence_Machine_Learning_Company VAT NUMBER:_IT02670700992 REA NUMBER: GE-503104 Email:_luca.marchese@synaptics.org |
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Copyright© 2026 General Synaptics |
