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    Audio human interactive proof based on text-to-speech and semantics
    1.
    发明授权
    Audio human interactive proof based on text-to-speech and semantics 有权

    公开(公告)号：US10319363B2

    公开(公告)日：2019-06-11

    申请号：US13399496

    申请日：2012-02-17

    申请人： Yao Qian ,  Frank Kao-Ping Soong ,  Bin Benjamin Zhu

    发明人： Yao Qian ,  Frank Kao-Ping Soong ,  Bin Benjamin Zhu

    IPC分类号： G10L13/033 ,  G10L21/003 ,  G10L15/00

    摘要： The text-to-speech audio HIP technique described herein in some embodiments uses different correlated or uncorrelated words or sentences generated via a text-to-speech engine as audio HIP challenges. The technique can apply different effects in the text-to-speech synthesizer speaking a sentence to be used as a HIP challenge string. The different effects can include, for example, spectral frequency warping; vowel duration warping; background addition; echo addition; and varying the time duration between words, among others. In some embodiments the technique varies the set of parameters to prevent using Automated Speech Recognition tools from using previously used audio HIP challenges to learn a model which can then be used to recognize future audio HIP challenges generated by the technique. Additionally, in some embodiments the technique introduces the requirement of semantic understanding in HIP challenges.

    Security Primitives Employing Hard Artificial Intelligence Problems
    2.
    发明申请
    Security Primitives Employing Hard Artificial Intelligence Problems 审中-公开
    使用硬人工智能问题的安全原则

    公开(公告)号：US20130097697A1

    公开(公告)日：2013-04-18

    申请号：US13273841

    申请日：2011-10-14

    申请人： Bin Benjamin Zhu ,  Guanbo Bao ,  Maowei Yang ,  Ning Xu

    发明人： Bin Benjamin Zhu ,  Guanbo Bao ,  Maowei Yang ,  Ning Xu

    IPC分类号： G06F21/00

    CPC分类号： G06F21/31 ,  G06F21/36 ,  G06F2221/2103 ,  G06F2221/2117 ,  G06F2221/2133 ,  H04L63/083 ,  H04W12/00522

    摘要： A security module generates a random image having a plurality of password-element indicators therein. The random image is provided to a user. The user selects portions of the random image. The security module determines whether the selected portions of the random image correspond to a password for the user. The security module grants access if the selected portions of the random image correspond to the user's password. However, if the selected portions of the random image do not correspond to the user's password, the security module may generate another random image having a plurality of password-element indicators therein, wherein each of the random images are computationally de-correlated.

    摘要翻译： 安全模块生成其中具有多个密码元素指示符的随机图像。 将随机图像提供给用户。 用户选择随机图像的部分。 安全模块确定随机图像的所选部分是否对应于用户的密码。 如果随机图像的所选部分对应于用户的密码，则安全模块授予访问权限。 然而，如果随机图像的选择部分不对应于用户的密码，则安全模块可以生成在其中具有多个密码元素指示符的另一个随机图像，其中每个随机图像在计算上是不相关的。

    Comprehensive human computation framework
    3.
    发明授权
    Comprehensive human computation framework 有权
    综合人力计算框架

    公开(公告)号：US08315964B2

    公开(公告)日：2012-11-20

    申请号：US12258991

    申请日：2008-10-27

    申请人： Shipeng Li ,  Yang Yang ,  Bin Benjamin Zhu ,  Rui Guo ,  Linjun Yang

    发明人： Shipeng Li ,  Yang Yang ,  Bin Benjamin Zhu ,  Rui Guo ,  Linjun Yang

    IPC分类号： G06N5/00

    CPC分类号： G06N5/022 ,  G06F2221/2133 ,  G06N3/12 ,  G06N3/126 ,  G06N5/04 ,  H04L63/1416

    摘要： Technologies for a human computation framework suitable for answering common sense questions that are difficult for computers to answer but easy for humans to answer. The technologies support solving general common sense problems without a priori knowledge of the problems; support for determining whether an answer is from a bot or human so as to screen out spurious answers from bots; support for distilling answers collected from human users to ensure high quality solutions to the questions asked; and support for preventing malicious elements in or out of the system from attacking other system elements or contaminating the solutions produced by the system, and preventing users from being compensated without contributing answers.

    摘要翻译： 适用于人类计算框架的技术，适用于回答计算机难以回答但易于人类回答的常识问题。 这些技术支持解决普通常识问题，而无需事先知晓的问题; 支持确定答案是来自机器人还是人类，以便从机器人中筛选出错误的答案; 支持从人类用户收集的答案，以确保问题的高质量解决方案; 并且支持防止系统内部或外部的恶意元件攻击其他系统元件或污染系统产生的解决方案，并防止用户在没有贡献答案的情况下进行补偿。

    Human User Verification
    4.
    发明申请
    Human User Verification 审中-公开
    人类用户验证

    公开(公告)号：US20120272302A1

    公开(公告)日：2012-10-25

    申请号：US13091964

    申请日：2011-04-21

    申请人： Bin Benjamin Zhu ,  Qiang Dai

    发明人： Bin Benjamin Zhu ,  Qiang Dai

    IPC分类号： H04L9/32 ,  G06K9/34

    CPC分类号： G06F21/36

    摘要： Techniques for generating a human user test for online applications or services may include splitting the visual objects in an image into multiple partial images, and forming one or more alignment positions. At each of the alignment positions, some of the visual objects appear recognizable while some bogus visual objects also appear to prevent robots from recognizing the alignment positions. A user is requested to find the multiple alignment positions to return recognizable visual objects. A system determines that the user is a human user if the recognizable visual objects input by the user match the visual objects in the image.

    摘要翻译： 用于为在线应用或服务生成人用户测试的技术可以包括将图像中的视觉对象分割为多个部分图像，以及形成一个或多个对准位置。 在每个对准位置，一些视觉对象看起来可识别，而一些假的视觉对象也似乎防止机器人识别对准位置。 请求用户找到多个对齐位置以返回可识别的可视对象。 如果由用户输入的可识别视觉对象与图像中的视觉对象匹配，则系统确定用户是人类用户。

    Digital rights management system protecting consumer privacy
    5.
    发明授权
    Digital rights management system protecting consumer privacy 有权
    数字版权管理系统保护消费者隐私

    公开(公告)号：US08185476B2

    公开(公告)日：2012-05-22

    申请号：US11970161

    申请日：2008-01-07

    申请人： Bin Benjamin Zhu ,  Min Feng

    发明人： Bin Benjamin Zhu ,  Min Feng

    IPC分类号： G06F21/00

    CPC分类号： H04L63/0407 ,  G06F21/10 ,  G06F21/6245 ,  H04L9/0833 ,  H04L9/302 ,  H04L9/3073 ,  H04L9/3257 ,  H04L63/0442 ,  H04L63/126 ,  H04L2209/56 ,  H04L2209/603 ,  H04L2463/062 ,  H04L2463/101 ,  Y10S705/901 ,  Y10S705/902 ,  Y10S705/904 ,  Y10S705/908

    摘要： Technologies for a Consumer Privacy Digital Rights Management system based on stable partially blind signatures that enable a license server to provide licenses for delivery to users without knowing the corresponding digital contents that users access with the license. Therefore consumer privacy is protected during license acquisition. Further, if the client DRM module in the DRM system does not disclose any information about a user's digital content access, and the messages that the client DRM module sends out are in plain text enabling verification that the client DRM module is not disclosing such information, then consumer privacy is fully protected by the DRM system.

    摘要翻译： 基于稳定的部分盲签名的消费者隐私数字版权管理系统的技术，使得许可证服务器能够在不知道用户使用许可证访问的相应数字内容的情况下，向用户提供许可证。 因此，许可证获取期间保护消费者的隐私。 此外，如果DRM系统中的客户端DRM模块没有透露关于用户的数字内容访问的任何信息，并且客户端DRM模块发送的消息是纯文本的，使得能够验证客户端DRM模块没有公开这样的信息， 那么消费者隐私就被DRM系统完全保护。

    PARALLEL WEB PAGE PROCESSING
    6.
    发明申请
    PARALLEL WEB PAGE PROCESSING 审中-公开
    并行网页处理

    公开(公告)号：US20120110433A1

    公开(公告)日：2012-05-03

    申请号：US12914638

    申请日：2010-10-28

    申请人： Aimin Pan ,  Bin Benjamin Zhu ,  Kaimin Zhang ,  Lu Wang

    发明人： Aimin Pan ,  Bin Benjamin Zhu ,  Kaimin Zhang ,  Lu Wang

    IPC分类号： G06F17/20

    CPC分类号： G06F17/211

    摘要： Methods and systems for parallel Web page processing are usable to parallelize Web page document parsing, Web page layout calculations, Web page style formatting, and Web page script engine processing. Such parallelized parsers may be used to enhance Web page processing and exploit multi-core and multi-processor computing device resources. The parallelized script engine may be used to enhance Web page processing when independent scripting events exist in the Web page document. Additionally, the parallelized layout calculations and style formatting may be used to further enhance Web page processing by allowing multi-core and multi-processor computing devices to take advantage of their parallel processing abilities.

    摘要翻译： 用于并行网页处理的方法和系统可用于并行化网页文档解析，网页布局计算，网页样式格式化和网页脚本引擎处理。 这种并行解析器可以用于增强网页处理并利用多核和多处理器计算设备资源。 并行脚本引擎可用于在网页文档中存在独立脚本事件时增强网页处理。 另外，并行布局计算和样式格式可以用于通过允许多核和多处理器计算设备利用其并行处理能力来进一步增强网页处理。

    Machine-learning based classification of user accounts based on email addresses and other account information
    8.
    发明授权
    Machine-learning based classification of user accounts based on email addresses and other account information 有权
    基于机器学习的用户帐户分类基于电子邮件地址和其他帐户信息

    公开(公告)号：US09189746B2

    公开(公告)日：2015-11-17

    申请号：US13349306

    申请日：2012-01-12

    申请人： Bin Benjamin Zhu ,  Fei Xue

    发明人： Bin Benjamin Zhu ,  Fei Xue

    IPC分类号： G06F21/00 ,  G06F15/18 ,  G06F15/16 ,  G06N99/00 ,  G06Q10/10 ,  H04L12/58 ,  G06F21/31 ,  G06F21/41 ,  G06F21/55

    CPC分类号： G06N99/005 ,  G06F21/31 ,  G06F21/41 ,  G06F21/552 ,  G06F21/57 ,  G06F2221/2113 ,  G06F2221/2117 ,  G06Q10/107 ,  H04L51/12

    摘要： A trust level of an account is determined at least partly based on a degree of the memorability of an email address associated with the account. Additional features such as those based on the domain of the email address and those from the additional information such as name, phone number, and address associated with the account may also be used to determine the trust level of the account. A machine learning process may be used to learn a classification model based on one or more features that distinguish a malicious account from a benign account from training data. The classification model is used to determine a trust level of the account, and/or if the account is malicious or benign, and may be continuously improved by incrementally adapting or improving the model with new accounts.

    摘要翻译： 至少部分地基于与帐户相关联的电子邮件地址的可记忆度来确定帐户的信任级别。 诸如那些基于电子邮件地址域的附加功能以及来自附加信息（例如姓名，电话号码和与该帐户相关联的地址）的功能也可用于确定该帐户的信任级别。 可以使用机器学习过程来基于将恶意帐户与良性帐户与训练数据区分开的一个或多个特征来学习分类模型。 分类模型用于确定帐户的信任级别和/或帐户是恶意的还是良性的，并且可以通过使用新帐户逐步适应或改进模型来不断地改进。

    Distributed single sign on technologies including privacy protection and proactive updating
    9.
    发明授权
    Distributed single sign on technologies including privacy protection and proactive updating 有权
    分布式单点登录技术，包括隐私保护和主动更新

    公开(公告)号：US09160528B2

    公开(公告)日：2015-10-13

    申请号：US13408875

    申请日：2012-02-29

    申请人： Bin Benjamin Zhu ,  Min Feng

    发明人： Bin Benjamin Zhu ,  Min Feng

    IPC分类号： H04L9/00 ,  H04L9/08 ,  H04L29/06 ,  H04L9/32

    CPC分类号： H04L63/0815 ,  H04L9/085 ,  H04L9/3218 ,  H04L9/3226 ,  H04L63/0435 ,  H04L63/083 ,  H04L63/10

    摘要： Technologies for distributed single sign-on operable to provide user access to a plurality of services via authentication to a single entity. The distributed single sign-on technologies provide a set of authentication servers and methods for privacy protection based on splitting secret, keys and user profiles into secure shares and periodically updating shares among the authentication servers without affecting the underlying secrets. The correctness of the received partial token or partial profiles can be verified with non-interactive zero-knowledge proofs.

    摘要翻译： 用于分布式单点登录的技术可操作以通过认证向单个实体提供用户对多个服务的访问。 分布式单点登录技术提供了一套基于将秘密，密钥和用户配置文件分解为安全共享的认证服务器和隐私保护方法，并定期更新认证服务器之间的共享，而不会影响潜在的秘密。 可以使用非交互式零知识证明来验证所接收的部分令牌或部分简档的正确性。