Abstract: A method according to an embodiment of the present disclosure includes obtaining proof data including a photographed image and a challenge code for proving original of the image, generating hash data by using the proof data, generating signature data for the hash data, transmitting the proof data, the hash data, and the signature data to a server, and receiving an access path to an original verification result of the proof data from the server.

Abstract: An apparatus for scheduling a data augmentation technique according to an embodiment includes a data set extractor, a first trainer, an operation extractor, a second trainer, and a schedule determinator. The apparatus may provide a schedule for a data augmentation technique capable of improving the performance of a neural network classification model in a shorter time compared to the related art.

Abstract: Provided are a method for multimodal embedding and a system therefor. The method according to some embodiments may include generating a plurality of patch features for an image sample through an image encoder, wherein the image sample and text sample form a positive pair, generating a plurality of token features for a text sample through a text encoder, softly masking patch features associated with a specific token of the text sample, generating a joint embedding by inputting the masked patch features and the token features into a multimodal encoder, and updating the multimodal encoder by performing an image-text matching (ITM) task based on the joint embedding.

Abstract: A method for solving a problem and a system thereof are provided. The method includes displaying, by a first terminal device, an embedding content search interface, which is included in a content authoring user interface for creating target content to be transmitted, displaying, by the first terminal device, an indicator of embedding content, determined by user input via the embedding content search interface, in an editing area in the content authoring user interface, transmitting, by the first terminal device, a body of the target content and metadata of the embedding content in response to receipt of input for a “Send” button in the content authoring user interface, and displaying, by a second terminal device, received content with the embedding content embedded therein, wherein the embedding content is embedded in the body of the target content by a server system.

Abstract: An apparatus for training a dialogue summary model according to an embodiment includes a parameter transferer configured to transfer one or more learning parameter values of a pre-trained natural language processing model to a sequence-to-sequence-based dialogue summary model, and a model trainer configured to train the dialogue summary model by using the transferred learning parameter values as initial values for learning parameters of each of an encoder and a decoder in the dialogue summary model.

Abstract: A method performed by a computing device for controlling an automated guided vehicle according to an embodiment of the present disclosure includes obtaining information on a movable area including nodes arranged in a grid pattern, obtaining information on a moving path connecting a source node and a destination node existing in the movable area, wherein the moving path includes a plurality of moving nodes, and reserving at least some of the moving nodes located between a current node and the destination node by using information on the current node occupied by an automated guided vehicle according to movement of the automated guided vehicle.

Abstract: A code inspection interface providing method according to an embodiment of this disclosure includes providing a graphical user interface (GUI) for performing code inspection, executing an analysis routine on an inspection target code when the inspection target code is selected through the GUI, and providing the result of executing the analysis routine. The analysis routine may include an operation of extracting an abstract syntax tree includes a plurality of nodes from the inspection target code. A code inspection interface providing method is capable of providing an interface that can analyze a code and detect a security vulnerability in real time regardless of the language version of the code and an apparatus for implementing the method.

Abstract: An apparatus for classifying fake images according to an embodiment of the present disclosure includes an artifact remover configured to receive an input image to generate an artifact-removed image from which artifacts are removed, an artifact image generator configured to generate an artifact image by using a difference between the input image and the artifact removal image, and a determiner configured to determine whether the artifact image is a real image or a fake image by receiving the artifact image.

Abstract: A method of displaying similar chat rooms according to an embodiment of the present disclosure is performed by a user terminal. The method includes, in response to a gesture input received for a specific chat room in a chat room list displayed on a screen, acquiring a list of similar chat rooms having a high degree of similarity with the specific chat room in the chat room list, and displaying the similar chat room list.

Abstract: The present disclosure relates to a secure network communication method and a system therefor. The secure network communication method using a proxy connecting a client and a server according to an embodiment of the present disclosure may include: receiving, from the client, a session encryption key shared for generation of a secure channel between the client and the server; and when a packet encrypted with the session encryption key and transmitted from the client to the server is received, decrypting the encrypted packet with the session encryption key and analyzing the decrypted packet, or forwarding the encrypted packet to the server without change of an encrypted state.

Abstract: Provided are a method for predicting usage for cloud storage service and system therefor. The method according to some embodiments may include obtaining a time series dataset through monitoring usage of storage resource, extracting a plurality of candidate training sets from the time series dataset, evaluating suitability of the plurality of candidate training sets to a linear regression model, wherein an independent variable of the linear regression model comprises a time variable and a dependent variable represents usage of the storage resource; selecting a training set from the plurality of candidate training sets based on the evaluation result, and predicting future usage of the storage resource through the linear regression model trained with the training set.

Abstract: The present disclosure according to at least one embodiment provides a network congestion control method performed by a computing device, the method comprising transmitting data in units of packets to a receiving terminal connected to a network by performing a first step of increasing a data transmission amount for the data by increasing a window size; and performing a second step of reducing the data transmission amount by reducing the window size in response to an increase in round trip time (RTT) exceeding a predefined threshold value.

Abstract: A method for displaying an unread message according to some embodiments of the present disclosure includes identifying a first unread message of a first chat room in which a user using the computing device participates, and a second unread message of a second chat room in which the user participates, wherein the first chat room and the second chat room are different, and the first unread message and the second unread message are different and simultaneously displaying the first unread message and the second unread message on one screen in response to the user's selection input to a collect view button.

Abstract: A method performed by a computing device for clustering an image according to an embodiment of the present disclosure includes performing a first clustering on feature vectors of the plurality of images, and performing a second clustering for feature vectors belonging to some clusters that do not satisfy a reference score among clusters formed as a result of the first clustering, wherein a clustering parameter of the second clustering and a clustering parameter of the first clustering are different from each other.

Abstract: An apparatus for calibrating prediction models of an inference service, including a computer program and a processor for executing the computer program according to an example embodiment of the present disclosure, wherein the apparatus includes: a drift pattern creating unit configured to detect a latent factor of learning data and create a possible drift pattern for the learning data based on the detected latent factor; and an instruction executing an individual drift calibrating unit configured to pre-learn calibration information according to a loss function between the learning data and the drift pattern for each drift pattern, and an ensemble drift calibrating unit including a similarity determining unit configured to perform prelearning to determine similarity between recovery data recovered by reconstructing the input drift pattern and the drift pattern.

Abstract: An apparatus for augmenting textual data according to an embodiment includes a data augmenter configured to generate augmented data by augmenting input textual data according to a data augmentation scheme decided based on a type of natural language processing task of the input textual data and a data classifier configured to classify the augmented data into a positive sample or a negative sample by determining whether or not the augmented data maintains label information of the input textual data based on one or more data classification criteria.

Abstract: A method for training an analysis model according to an embodiment includes receiving synthetic data for original data from a client apparatus, determining a hyperparameter value for analysis model training using the synthetic data, receiving a ciphertext for the original data from the client apparatus, and training the analysis model using the determined hyperparameter value and the received cipher text.

Abstract: The present disclosure relates to a POC-based MQTT communication method, device, system, and computer program, and more particularly, to a POC-based communication method, device, system, and computer program enabling POC-based communication between MOTT brokers. The present disclosure provides a POC-based MQTT communication method performed by one or more processors in a first MQTT broker, the method including: collecting a message from one or more MQTT clients; performing POC-based encryption on the collected message by using a POC processing module; and transmitting the encrypted message to a second MQTT broker.

Abstract: Disclosed is a marketplace security method performed by a cloud service provider (CSP), and the method includes an operation of downloading a virtual machine (VM) image selected by a cloud service customer from the marketplace into a cloud space of the corresponding cloud service customer, an operation of obtaining an electronic signature associated with the downloaded VM image in response to an operation request from the cloud service customer, an operation of verifying the obtained electronic signature, and an operation of determining, based on a verification result, whether to operate a VM instance corresponding to the downloaded VM image.

Abstract: The present disclosure relates to a method, apparatus, system, and computer program for task deployment in a cloud system including a function accelerator card, and more particularly to a method, apparatus, system, and computer program for task deployment in a cloud system including a function accelerator card, which can efficiently perform task deployment in the cloud system including the function accelerator card to increase the efficiency of the cloud system.