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: 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: 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: 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: Provided are a method for generating a summary and system therefor. The method according to some embodiments may include generating a first view sample corresponding to a local view of a reference sample. generating a second view sample corresponding to a view greater than the local view from the reference sample; generating a first output value by inputting the first view sample to a first embedding model. generating a second output value by inputting the second view sample to a second embedding model. and updating parameters of the first embedding model based on a difference between the first output value and the second output value.

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.

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 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: Provided are a method for generating time series data and system therefor. The method according to some embodiments may include obtaining an autoencoder trained using original time series data, wherein the autoencoder includes an encoder and a decoder, obtaining a score predictor trained using latent vectors of original time series data generated through the encoder, extracting a plurality of noise vectors from a prior distribution, generating a plurality of synthetic latent vectors by updating the plurality of noise vectors using scores of the plurality of noise vectors predicted through the score predictor, and reconstructing the plurality of synthetic latent vectors into a plurality of synthetic time series samples through the decoder and outputting them.

Abstract: The present disclosure relates to a method for automatically updating an application installed in a container environment, and a computing device therefor. A method for automatically updating an application installed in a container environment according to an embodiment of the present disclosure may include: receiving a cryptogram corresponding to an update package for updating the application; decrypting the cryptogram by a decryption module installed in the container environment so as to extract an update script and an electronic signature regarding the update script from the update package; verifying the electronic signature by using a verification key regarding the electronic signature; and updating the application by executing the update script if the electronic signature is successfully verified.

Abstract: Provided are a system for business process automation and a method thereof. The system according to some embodiments may include a connect manager configured to register and manage application programming interface (API) information for services, a process execution engine configured to execute a target business process comprising a particular service task, which is a task using a particular service provided by a service module, and a connect broker configured to acquire API information for the particular service, registered through the connect manager, during execution of the target business process in response to a request from the process execution engine, and process the particular service task by sending a request for the particular service to the service module using the acquired API information.

Abstract: A calculation method using an efficient one-way function in a zero-knowledge proof, performed by a computing device according to an embodiment of the disclosure includes calculating a second bit stream from one or more first substitution-boxes (S-boxes) by an input based on the first bit stream; calculating a third bit stream by inputting the second bit stream to a processing matrix; and calculating a fourth bit stream from one or more second S-boxes by an input based on the third bit stream.

Abstract: Provided are a method for processing a graph and system therefor. The method according to some embodiments may include calculating spectral information associated with a target graph, and generating an embedding representation of the target graph based on information on nodes constituting the target graph and the spectral information.