System and method to enable privacy-preserving real time services against inference attacks

    公开(公告)号:US11087024B2

    公开(公告)日:2021-08-10

    申请号:US15011368

    申请日:2016-01-29

    Abstract: One embodiment provides a method comprising receiving general private data identifying at least one type of privacy-sensitive data to protect, collecting at least one type of real-time data, and determining an inference privacy risk level associated with transmitting the at least one type of real-time data to a second device. The inference privacy risk level indicates a degree of risk of inferring the general private data from transmitting the at least one type of real-time data. The method further comprises distorting at least a portion of the at least one type of real-time data based on the inference privacy risk level before transmitting the at least one type of real-time data to the second device.

    SYSTEM AND METHOD FOR DEEP MEMORY NETWORK
    33.
    发明申请

    公开(公告)号:US20200050934A1

    公开(公告)日:2020-02-13

    申请号:US16535380

    申请日:2019-08-08

    Abstract: An electronic device including a deep memory model includes at least one memory and at least one processor coupled to the at least one memory. The at least one processor is configured to receive input data to the deep memory model. The at least one processor is also configured to extract a history state of an external memory coupled to the deep memory model based on the input data. The at least one processor is further configured to update the history state of the external memory based on the input data. In addition, the at least one processor is configured to output a prediction based on the extracted history state of the external memory.

    System and method for privacy management of infinite data streams

    公开(公告)号:US10366249B2

    公开(公告)日:2019-07-30

    申请号:US15294570

    申请日:2016-10-14

    Abstract: An apparatus, method, and computer readable medium for management of infinite data streams. The apparatus includes a memory that stores streaming data with a data set and a processor operably connected to the memory. The processor transforms the data set to a second data set. To transform the data set, the processor determines whether a difference level exceeds a threshold, and transforms the data set by adding a noise when the difference level exceeds the threshold. When the difference level does not exceed the threshold, the processor determines whether a retroactive count is greater than a threshold, transforms the data set by adding a second noise when the retroactive count is greater than the threshold, and transforms the data set by adding a third noise when the retroactive count is not greater than the threshold. The processor transmits the second data set to a data processing system for further processing.

    COMPUTING SYSTEM WITH IDENTITY PROTECTION MECHANISM AND METHOD OF OPERATION THEREOF
    35.
    发明申请
    COMPUTING SYSTEM WITH IDENTITY PROTECTION MECHANISM AND METHOD OF OPERATION THEREOF 有权
    具有身份保护机制的计算机系统及其操作方法

    公开(公告)号:US20150067883A1

    公开(公告)日:2015-03-05

    申请号:US14186438

    申请日:2014-02-21

    CPC classification number: G06F21/6254 G06Q50/01

    Abstract: A computing system includes: a communication unit configured to access a target account including a feature; a control unit, coupled to the communication unit, configured to: calculate a comparison result based on the feature, determine an anonymity threshold for conforming the target account with a comparison account, and determine the feature for the target account based on the comparison result and the anonymity threshold for displaying on a device.

    Abstract translation: 计算系统包括:通信单元,被配置为访问包括特征的目标帐户; 耦合到所述通信单元的控制单元,被配置为:基于所述特征来计算比较结果,确定用于使所述目标帐户与比较帐户一致的匿名阈值,并且基于所述比较结果和所述目标帐户确定所述目标帐户的特征; 用于在设备上显示的匿名阈值。

    Speech denoising networks using speech and noise modeling

    公开(公告)号:US12260874B2

    公开(公告)日:2025-03-25

    申请号:US18058104

    申请日:2022-11-22

    Abstract: A method includes obtaining, using at least one processing device, noisy speech signals and extracting, using the at least one processing device, acoustic features from the noisy speech signals. The method also includes receiving, using the at least one processing device, a predicted speech mask from a speech mask prediction model based on a first acoustic feature subset and receiving, using the at least one processing device, a predicted noise mask from a noise mask prediction model based on a second acoustic feature subset. The method further includes providing, using the at least one processing device, predicted speech features determined using the predicted speech mask and predicted noise features determined using the predicted noise mask to a filtering mask prediction model. In addition, the method includes generating, using the at least one processing device, a clean speech signal using a predicted filtering mask output by the filtering mask prediction model.

    Multi-granularity alignment for visual question answering

    公开(公告)号:US12210835B2

    公开(公告)日:2025-01-28

    申请号:US17946400

    申请日:2022-09-16

    Abstract: In one embodiment, a method includes accessing an image and a natural-language question regarding the image and extracting, from the image, a first set of image features at a first level of granularity and a second set of image features at a second level of granularity. The method further includes extracting, from the question, a first set of text features at the first level of granularity and a second set of text features at the second level of granularity; generating a first output representing an alignment between the first set of image features and the first set of text features; generating a second output representing an alignment between the second set of image features and the second set of text features; and determining an answer to the question based on the first output and the second output.

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