User image verification

A device comprising:

• a memory storage comprising instructions;
• and
• one or more processors in communication with the memory storage, wherein the one or more processors execute the instructions to perform operations to verify an image based authentication comprising:
• receiving raw image data corresponding to a face identified by a facial recognition system;
• processing the received raw image data via a deep neural network trained on training data that includes images of both verified and fake faces to perform a temporal facial analysis;
• and
• generating a verification signal in response to the temporal facial analysis to indicate whether the raw image data is fake, wherein the raw image data comprises identified face data and features of the identified face data and wherein the deep neural network comprises a first deep neural network to process the identified face data and a second, deep neural network to process the identified feature data, and wherein the first and second deep neural networks generate respective first and second data cubes, and wherein the deep neural network further comprises a third deep neural network, the operations further comprising merging the first and second data cubes to form a merged data cube, wherein the merged data cube is processed by the third deep neural network to generate the verification signal.

A non-transitory computer-readable media storing computer instructions for verifying an image based authentication, that when executed by one or more processors, cause the one or more processors to perform operations comprising:

• receiving raw image data corresponding to a face identified by a facial recognition system;
• processing the received raw image data via a deep neural network trained on training data that includes images of both verified and fake to perform a temporal facial analysis;
• and
• generating a verification signal in response to the temporal facial analysis to indicate whether the raw image data was fake or not, wherein the raw image data comprises identified face data and features of the identified face data and wherein the deep neural network comprises a first deep neural network to process the identified face data and a second, deep neural network to process the identified feature data, and wherein the first and second deep neural networks generate respective first and second data cubes, and wherein the deep neural network further comprises a third deep neural network, the operations further comprising merging the first and second data cubes to form a merged data cube, wherein the merged data cube is processed by the third deep neural network to generate the verification signal.