Abstract: A method for measuring an antenna reflection coefficient of an antenna and a user equipment using the same are provided. The method for measuring the antenna reflection coefficient comprises the following steps. At least two receiving signals are measured. Each of the at least two receiving signals is measured under different tuner measurement control words. A plurality of tuner scattering parameters and a front-end reflection coefficient under a receiver (Rx) frequency are obtained. The plurality of tuner scattering parameters correspond to the different tuner measurement control words. The antenna reflection coefficient is calibrated according to the at least two receiving signals, the tuner scattering parameters and the front-end reflection coefficient.

Abstract: A method for calibrating front-end scattering parameters and a user equipment using the same are provided. The method for calibrating the front-end scattering parameters includes the following steps. At least three coupler reflection coefficients under are measured under at least three different tuner measurement control words. A plurality of tuner scattering parameters corresponding to the tuner measurement control words are obtained. The front-end scattering parameters are calibrated according to the at least three coupler reflection coefficients, and the tuner scattering parameters.

Abstract: The techniques disclosed herein prevent data spillage in multi-tenant services via request and response containerization with provenance checks. When a web request is received on behalf of a tenant, a request container is created and initialized with identifying information extracted from the request. Derived identifiers that can be verified as being associated with the tenant may be added to the request container. A response container for accumulating data obtained while processing the request is then created. The request and response containers are passed throughout the call path that processes the request. Identifying information passed to data access operations is obtained from the request container, while results of data access operations are stored in the response container. Before generating a web response using data from the response container, the response container is verified to contain data associated with the appropriate request.

Abstract: Techniques are disclosed for training a feature extraction model. A computing device can receive a training image and generate noised feature vectors using a feature extraction model characterized by first parameters and taking the training image as input. The computing device can determine the noised feature vectors by at least determining a feature vector for individual pixels in the training image and applying noise to each feature vector. The computing device can generate a reconstructed image using a reconstructor model characterized by second parameters and taking the noised feature vectors as input. The computing device can determine a reconstruction loss by comparing the training image with the reconstructed image and a noise loss using the noise applied to each feature vector. The computing device can update the first parameters based on the noise loss.

Abstract: The techniques disclosed herein prevent data spillage in multi-tenant services via request and response containerization with provenance checks. When a web request is received on behalf of a tenant, a request container is created and initialized with identifying information extracted from the request. Derived identifiers that can be verified as being associated with the tenant may be added to the request container. A response container for accumulating data obtained while processing the request is then created. The request and response containers are passed throughout the call path that processes the request. Identifying information passed to data access operations is obtained from the request container, while results of data access operations are stored in the response container. Before generating a web response using data from the response container, the response container is verified to contain data associated with the appropriate request.

Abstract: The techniques disclosed herein prevent data spillage in multi-tenant services via request and response containerization with provenance checks. When a web request is received on behalf of a tenant, a request container is created and initialized with identifying information extracted from the request. Derived identifiers that can be verified as being associated with the tenant may be added to the request container. A response container for accumulating data obtained while processing the request is then created. The request and response containers are passed throughout the call path that processes the request. Identifying information passed to data access operations is obtained from the request container, while results of data access operations are stored in the response container. Before generating a web response using data from the response container, the response container is verified to contain data associated with the appropriate request.