Abstract: A method is provided for identifying synthetic “deepfake” audio samples versus organic audio samples. Methods may include: receiving an audio sample comprising speech; converting the speech to text; aligning the text with phonemes identified within the audio sample; filtering the audio sample to only contain predetermined phonemes; obtaining, from the audio sample, a frequency response vector for each of the predetermined phonemes; transforming the frequency response vector for each of the predetermined phonemes to a classification space vector for each of the predetermined phonemes having a magnitude; normalizing the classification space vector for each of the predetermined phonemes; identifying each of the predetermined phonemes as one of synthetic or organic based on the classification space vector for each of the predetermined phonemes; and identifying the audio sample as synthetic or organic based on identification of each of the predetermined phonemes as one of synthetic or organic.

Abstract: Various methods are provided for secure two-factor authentication, and more specifically, for incorporating a layer of security to two-factor authentication using Short Message Service in a manner virtually transparent to the end-user. Methods may include receiving a request for registration for two-factor authentication from a client including a username and password; providing a request for a mobile device number; receiving the mobile device number and a pre-shared key; sending to a mobile device an identity of the client and a server key share; receiving from the mobile device a mobile device key share; sending information corresponding to an exchange with the mobile device and a challenge derived from the pre-shared key to the client in response to the device key share corresponding to the server key share; receiving confirmation of registration with the mobile device; and establishing a shared key in response to verification of the confirmation.

Abstract: Various embodiments of the present disclosure provide for detecting audio deepfakes through acoustic prosodic modeling. In one example, an embodiment provides for extracting one or more prosodic features from an audio sample and classifying the audio sample as a deepfake audio sample or an organic audio sample by applying a machine learning model to the one or more prosodic features. The one or more prosodic features can be indicative of one or more prosodic characteristics associated with human speech. Additionally, the machine learning model can be configured as a classification-based detector for audio deepfakes.

Abstract: Various methods are provided for secure two-factor authentication, and more specifically, for incorporating a layer of security to two-factor authentication using Short Message Service in a manner virtually transparent to the end-user. Methods may include receiving a request for registration for two-factor authentication from a client including a username and password; providing a request for a mobile device number; receiving the mobile device number and a pre-shared key; sending to a mobile device an identity of the client and a server key share; receiving from the mobile device a mobile device key share; sending information corresponding to an exchange with the mobile device and a challenge derived from the pre-shared key to the client in response to the device key share corresponding to the server key share; receiving confirmation of registration with the mobile device; and establishing a shared key in response to verification of the confirmation.