Abstract: A method includes generating a first vector associated with a token using a first set of parameters of a first learning model based on the token, determining a prediction indicating that the token is associated with a first label based on a set of clustering criteria, the first vector, vectors of a first vector set, and vectors of a second vector. The method includes generating a perturbed vector associated with a second label by modifying a value of the first vector and updating the second vector set to comprise the perturbed vector. The method also includes generating a synthesized token associated with the second vector set based on the perturbed vector using a second set of parameters of the first learning model and training a second learning model based on the synthesized token.

Abstract: Systems and methods are disclosed for assisting users in assessing costs of transactions. For instance, method may include: determining a cost value of at least one transaction associated with a user; classifying the user into a category, based on consumer interest characteristics of the user and consumer interest characteristics associated with the category; determining a relatable product based on the consumer interest characteristics associated with the category, the relatable product being a product purchased by a plurality of persons classified in the category; determining a relatable cost value, the relatable cost value being a representation of the cost value of the at least one transaction using a quantity of the respective relatable product; and presenting the relatable cost value to the user.

Abstract: A method includes generating first patterns indicating a data label and associating a candidate token of a text sequence with the data label by removing first tokens from the text sequence based on a match of the first tokens with a token of second patterns and selecting the candidate token from other tokens of the text sequence based on a match between the candidate token and a token of the second patterns. The method also includes updating a token sequence collection to comprise the candidate token and a context token, updating the second patterns with new patterns that match the candidate token and the context token, and removing a first pattern from the second patterns based on a determination that the first pattern matches with a token sequence associated with the test tokens.

Abstract: A server device may receive information identifying a user of a first device participating in a screen sharing session with a second device and associate the information identifying the user of the first device with information indicating a sequence of interactions with an application at the first device. The server device may determine one or more user interface elements that correspond to a current view of the application at the first device based on the sequence of interactions, and transmit, to the second device, information identifying the one or more user interface elements that correspond to the current view to permit the second device to reconstruct the current view based on the information identifying the one or more user interface elements that correspond to the current view and stored information related to a plurality of views associated with the application.

Abstract: A device may receive a preauthorization associated with missed transaction prevention for a transaction account of a user, wherein the missed transaction prevention involves preventing a missed transaction associated with merchant accounts of the user. The device may monitor a transaction log of the transaction account and identify a transaction pattern associated with a merchant account based on a plurality of historical transactions identified in the transaction log related to the merchant account. The device may determine that a historical transaction of the plurality of historical transactions is not designated for automatic execution and that an execution of an upcoming transaction corresponding to the plurality of historical transactions is not scheduled. The device may cause an account transaction associated with the upcoming transaction to be automatically executed before a transaction period expiration, associated with the merchant account, passes.

Abstract: Systems and methods for dynamically concealing sensitive information in a shared screen session of a video conference are disclosed. The system may establish communication with one or more computing devices active in a video conference in which each computing device may switch between a screen share mode and a video mode. The system may determine that one or more articles of sensitive information are visible in a graphical user interface associated with a first computing device of the plurality of computing devices. The system may receive a first signal from the first computing device that indicates a first intent of a host associated with the first computing device to switch the screen share mode which includes sharing the first graphical user interface with the one or more computing devices during the video conference. In response to the first signal, the system may execute one or more privacy actions.

Abstract: Systems as described herein may label data to preserve privacy. An annotation server may receive a document comprising a collection of text representing a plurality of confidential data from a first computing device. The annotation server may convert the document to a plurality of text embeddings. The annotation server may input the text embeddings into a machine learning model to generate a plurality of synthetic images, and receive a label for each of the plurality of synthetic images from a third-party labeler. Accordingly, the annotation server may send the confidential data and the corresponding labels to a second computing device.

Abstract: Systems and methods for securing data for outbound communication may include: determining a risk profile for the outbound communication based, the outbound communication comprising data modules including at least a payload, an origination endpoint, and a destination endpoint; determining a scanning policy from a plurality of scanning policies, based on the determined risk profile; determining a secure machine learning model from a plurality of secure machine learning models, based on the determined risk profile, wherein the secure machine learning model is determined based on an authentication level corresponding to the determined risk profile; providing one or more data modules to the secure machine learning model, based on the determined scanning policy; receiving a sanitized version of the payload based on an output of the secure machine learning model; and providing the sanitized version of the payload for the outbound communication.

Abstract: Example embodiments of biodegradable cards and systems and methods making the same are provided. A biodegradable card can comprise a biodegradable substrate, a magnetic particle slot within the biodegradable substrate configured to receive magnetic particles, a high coercivity magnetic stripe comprising magnetic particles printed on the biodegradable substrate and encoded with payment account data, and a biodegradable water resistant coating, wherein the coating covers at least the magnetic stripe.

Abstract: Methods and systems may be used for transfer learning of neural networks. According to one example, a method includes: grouping data objects of a first training set into a plurality of clusters; training a base model using a first cluster of the plurality of clusters, the base model being a neural network having a plurality of nodes; generalizing the base model to obtain a generalized base model, the generalizing the base model including setting a portion of the plurality of nodes to have random or predetermined weights; determining that the first cluster is, out of the plurality clusters, most similar to a second training set; and training the generalized base model using the second training set to obtain a trained model.

Abstract: System and devices for live captioning events is disclosed. The system may receive event calendar data and a first plurality of caption files and preselect a first caption file based on the event calendar data. The system may then access an audiovisual recorder of a user device, and receive a first feedback from the recorder. The system may then determine whether the first caption file matches the first feedback. When there is a match, the system may determine a first synchronization between the caption file and the feedback. When there is no match, the system may determine if there is a match with a second caption file of the first plurality of caption files and determine a second synchronization. When the second caption file does not match, the system may receive at least a third caption file over a mobile network and determine a third synchronization for display.

Abstract: Systems and methods for determining neural network brittleness are disclosed. For example, the system may include one or more memory units storing instructions and one or more processors configured to execute the instructions to perform operations. The operations may include receiving a modeling request comprising a preliminary model and a dataset. The operations may include determining a preliminary brittleness score of the preliminary model. The operations may include identifying a reference model and determining a reference brittleness score of the reference model. The operations may include comparing the preliminary brittleness score to the reference brittleness score and generating a preferred model based on the comparison. The operations may include providing the preferred model.

Abstract: A computing system may comprise a monitoring server system, a target server system, and client devices that may be connected via one or more networks. The monitoring server system may identify client devices to perform a test on the target server system, and may send a payload with instructions for performing the test to the clients. The client devices may determine that the payload is authentic and execute the instructions in the payload, as part of a non-malicious botnet, to perform the test on the target server system. The monitoring server system may receive client-side results from the client devices, and server-side results from the target server system. The monitoring server system may generate a report based on the received results. The report may indicate one or more issues, points of failure and/or recommendations for mitigating the issues and/or points of failure.

Abstract: Disclosed embodiments include systems and methods for providing a secure physical storage system. The system may receive a request to register a first physical storage box from an entity including location information and security information. The request can be validated by comparing the security information to a predetermined security threshold. The location information associated with the first physical storage box can be recorded to a blockchain. The first registration information can be received from a first user device. The first physical storage box can be assigned to the first user device and a first identity token associated with the first physical storage box. The assignment information associated with the first physical storage box can be recorded to the blockchain. A first identity token can be received from the first user device. Instructions can be transmitted to the first physical storage box to transition from a locked to an unlocked state.

Abstract: Systems and methods for generating synthetic data are disclosed. For example, a system may include one or more memory units storing instructions and one or more processors configured to execute the instructions to perform operations. The operations may include receiving a dataset including time-series data. The operations may include generating a plurality of data segments based on the dataset, determining respective segment parameters of the data segments, and determining respective distribution measures of the data segments. The operations may include training a parameter model to generate synthetic segment parameters. Training the parameter model may be based on the segment parameters. The operations may include training a distribution model to generate synthetic data segments. Training the distribution model may be based on the distribution measures and the segment parameters.

Abstract: An exemplary system, method, and computer-accessible medium can include receiving first information related to a first transaction associated with a financial account, determining a first network coverage area associated with the first transaction, receiving second information related to a second transaction associated with the financial account, determining a second network coverage area associated with the second transaction, flagging the second transaction as potentially fraudulent based on the first network coverage area and the second network coverage area. The financial account can be a credit card account. The second transaction can be flagged if the first network coverage area and the second network coverage area do not overlap. The first network coverage area can be based on a coverage area for a first satellite and the second network coverage area can be based on the coverage area for a second satellite, where the first satellite can be different than the second satellite.

Abstract: The disclosed systems and methods may receive a first salted password having a first password, a first user device identifier, and a first browser identifier, extract the first password, the first user device identifier, and the first browser identifier from the first salted password, and determine whether the first password, the first user device identifier, and the first browser identifier respectively match a stored first password, a stored first user device identifier, and a stored first browser identifier. The systems may grant the request to access the one or more resources for the first user device or perform other actions depending on whether the first password, the first user device identifier, and the first browser identifier respectively match the stored first password, the stored first user device identifier, and the stored first browser identifier.

Abstract: Apparatuses, systems and methods are described herein for separately collecting and storing form contents. Different information may be collected from a user on a form. Based on determining that portions of the form request a first type of information, an extended reality (XR) environment may be provided to the user. The user may provide the first type information via an input method in the XR environment. The user may provide a second type of information using a different input method outside of the XR environment. The first type of information may be processed and stored in a different database as compared to the second type of information. The database storing the first type of information may have a higher security standard than the database storing second type of information.

Abstract: Systems and methods for generating synthetic data are disclosed. For example, a system may include one or more memory units storing instructions and one or more processors configured to execute the instructions to perform operations. The operations may include receiving a dataset including time-series data. The operations may include generating a plurality of data segments based on the dataset, determining respective segment parameters of the data segments, and determining respective distribution measures of the data segments. The operations may include training a parameter model to generate synthetic segment parameters. Training the parameter model may be based on the segment parameters. The operations may include training a distribution model to generate synthetic data segments. Training the distribution model may be based on the distribution measures and the segment parameters.

Abstract: A device detects a communication involving a user associated with an account and a service representative, and sends, to a user device associated with the account, an authentication notification that causes the user device to display an authentication field for the user. The device sends, to a service representative device associated with the service representative, a message that indicates that the service representative is to request, via the communication, the user to enter personal information associated with the user into the authentication field, where the user device is configured to generate a first authentication code based on a user input received from the user device in the authentication field. The device generates a second authentication code based on personal information associated with the account from a data structure, receives the first authentication code, and performs an action based on the first authentication code and the second authentication code.