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L_Anti-Spoofing Norm Engineered Recognizer (LASER™) is the result of a research started to give answers to some issues raised in the DARPA GARD (Guaranteeing AI Robustness against Deception) program. The LASER™ classifier can be used as a plug-in for a CNN or in a context where features extraction is executed in a different way.

 

 

Recognition with a state of the art CNN

Recognition with the same CNN after a targeted attack with our GAN for generation of Physically Feasible Deception Patterns (PFDP)

Recognition with a state of the art CNN and a final LASER™ classification layer

With LASER™ technology the GAN failed to converge in the generation of PFDP and in the generation of any spoofing pixels pattern in the full image

 

 

 

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