Source: Siemens
Siemens
CyLab’s partnership with Siemens led to the development of “DoppelGANger” a tool developed by CyLab researchers that utilizes generative adversarial networks, or GANs, which employ machine learning techniques to synthesize datasets that have the similar characteristics as the original “training” dataset but have been stripped of the sensitive information.
Source: Infineon
Infineon
CyLab’s partnership with Infineon led to the exploration of using lightweight quantized neural networks to perform fingerprint recognition, as Infineon produces 40-50 percent of the market share of payment chips in credit cards today and many believe that the next generation of credit cards could have the ability to perform fingerprint recognition to ensure that the card holder is indeed the owner or approved user of the credit card.