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    • 4. 发明授权
    • Dynamic analytical differentiator for obfuscated functions in complex models
    • 复杂模型中混淆函数的动态分析微分
    • US08312260B2
    • 2012-11-13
    • US12576650
    • 2009-10-09
    • Stacey Michelle ChristianDonald James Erdman
    • Stacey Michelle ChristianDonald James Erdman
    • G06F21/00
    • G06F21/62G06F17/10G06F21/14H04L9/00H04L2209/16
    • Systems and methods are provided for providing secure transmission of software code, which includes a mathematical function, from a first computer to a second computer so that the mathematical function's content cannot be determined at the second computer. A method includes generating a secure container, where the secure container includes an encrypted representation of the mathematical function and metadata identifying the mathematical function encrypted in the secure container. The method further includes providing the secure container from the first computer to the second computer over a communication transmission medium, where the secure container is accessed at the second computer using the metadata to identify the mathematical function, and where the mathematical function contained within the secure container is decrypted and incorporated into program code in a compiled form so that the mathematical function can be used but the mathematical function's content cannot be determined at the second computer.
    • 提供了系统和方法,用于提供从第一计算机到第二计算机的包括数学函数的软件代码的安全传输,使得不能在第二计算机处确定数学函数的内容。 一种方法包括生成安全容器,其中安全容器包括数学函数的加密表示和标识在安全容器中加密的数学函数的元数据。 该方法还包括通过通信传输介质将安全容器从第一计算机提供给第二计算机,其中使用元数据在第二计算机访问安全容器以识别数学函数,并且其中包含在安全性内的数学函数 容器被解密并以编译形式并入程序代码中,使得可以使用数学函数,但是在第二计算机上不能确定数学函数的内容。
    • 5. 发明申请
    • Dynamic Analytical Differentiator For Obfuscated Functions In Complex Models
    • 复杂模型中混淆函数的动态分析微分
    • US20110087876A1
    • 2011-04-14
    • US12576650
    • 2009-10-09
    • Stacey Michelle ChristianDonald James Erdman
    • Stacey Michelle ChristianDonald James Erdman
    • H04L9/00G06F9/45G06F17/10
    • G06F21/62G06F17/10G06F21/14H04L9/00H04L2209/16
    • Systems and methods are provided for providing secure transmission of software code, which includes a mathematical function, from a first computer to a second computer so that the mathematical function's content cannot be determined at the second computer. A method includes generating a secure container, where the secure container includes an encrypted representation of the mathematical function and metadata identifying the mathematical function encrypted in the secure container. The method further includes providing the secure container from the first computer to the second computer over a communication transmission medium, where the secure container is accessed at the second computer using the metadata to identify the mathematical function, and where the mathematical function contained within the secure container is decrypted and incorporated into program code in a compiled form so that the mathematical function can be used but the mathematical function's content cannot be determined at the second computer.
    • 提供了系统和方法,用于提供从第一计算机到第二计算机的包括数学函数的软件代码的安全传输,使得不能在第二计算机处确定数学函数的内容。 一种方法包括生成安全容器,其中安全容器包括数学函数的加密表示和标识在安全容器中加密的数学函数的元数据。 该方法还包括通过通信传输介质将安全容器从第一计算机提供给第二计算机,其中使用元数据在第二计算机访问安全容器以识别数学函数,并且其中包含在安全性内的数学函数 容器被解密并以编译形式并入程序代码中,使得可以使用数学函数,但是在第二计算机上不能确定数学函数的内容。
    • 6. 发明授权
    • System and method for modeling consortium data
    • 用于建模联盟数据的系统和方法
    • US08050959B1
    • 2011-11-01
    • US11869388
    • 2007-10-09
    • Donald James ErdmanJacques RiouxLaura Elizabeth Jackson
    • Donald James ErdmanJacques RiouxLaura Elizabeth Jackson
    • G06Q10/00
    • G06Q10/06G06Q10/0635
    • A method is provided for analyzing operational risk associated with one or more organizations, comprising receiving operational loss data from a plurality of organizations at a third-party risk management entity that is a separate entity from the plurality of organizations. The operational loss data includes confidential information regarding one or more of the plurality of organizations. The data received from the plurality of organizations, including the confidential information, is pooled. The pooled data is used to generate an operational risk model for one of the plurality of organizations, and this operational risk model is transmitted to the organization. A system for modeling operational risk for a plurality of organizations is provided, comprising a first data store configured to collect data regarding operational losses from the plurality of organizations, whose data includes confidential information regarding one or more of the organizations. The system includes software instructions configured to pool the operational loss data collected from the plurality of organizations and software instructions configured to generate operational risk models for the organizations using the pooled data, wherein the confidential information is not removed from the pooled data. The system also includes a second data store configured to store the generated models.
    • 提供了一种用于分析与一个或多个组织相关联的操作风险的方法,包括从作为来自所述多个组织的单独实体的第三方风险管理实体从多个组织接收操作损失数据。 操作损失数据包括关于多个组织中的一个或多个的机密信息。 汇集了从多个机构收到的数据,包括机密信息。 汇集的数据用于为多个组织中的一个组织生成操作风险模型,并将该操作风险模型发送到组织。 提供了一种用于为多个组织的操作风险建模的系统,包括:第一数据存储器,被配置为收集关于来自所述多个组织的操作损失的数据,所述组织的数据包括关于所述组织中的一个或多个的机密信息。 该系统包括被配置为汇集从多个组织收集的操作损失数据的软件指令以及被配置为使用合并的数据为组织生成操作风险模型的软件指令,其中机密信息不从汇集数据中移除。 该系统还包括被配置为存储生成的模型的第二数据存储。
    • 7. 发明授权
    • Computer-implemented systems and methods for parameter risk estimation for operational risk
    • 用于操作风险的参数风险估算的计算机实现系统和方法
    • US08392323B2
    • 2013-03-05
    • US12706498
    • 2010-02-16
    • Donald James ErdmanJacques Rioux
    • Donald James ErdmanJacques Rioux
    • G06Q40/00
    • G06Q40/08G06Q10/067
    • Systems and methods are provided for determining a loss mitigation reserve requirement based on a risk measure estimation and a confidence interval associated with the risk measure estimation. Distribution parameters of a frequency model and distribution parameters of a severity model are determined, and a covariance matrix representing the determined parameters of the distribution of the frequency model and the determined parameters of distribution of the severity model is generated. One or more analytical derivatives of a cumulative distribution function of the frequency model, one or more analytical derivatives of a cumulative distribution function of the severity model, and a parameter covariance matrix are calculated. A confidence interval is computed for the risk measure estimation based on a vector of derivatives of a cumulative distribution function.
    • 提供了系统和方法,用于基于与风险度量估计相关联的风险度量估计和置信区间确定损失缓解准备金要求。 确定频率模型的分布参数和严重性模型的分布参数,并生成表示频率模型分布的确定参数的协方差矩阵和确定的严重性模型分布参数。 计算频率模型的累积分布函数,严重性模型的累积分布函数的一个或多个分析导数和参数协方差矩阵的一个或多个分析导数。 基于累积分布函数的导数向量计算风险度量估计的置信区间。
    • 8. 发明申请
    • Computer-Implemented Systems And Methods For Parameter Risk Estimation For Operational Risk
    • 计算机实现的系统和方法用于操作风险的参数风险估计
    • US20110202373A1
    • 2011-08-18
    • US12706498
    • 2010-02-16
    • Donald James ErdmanJacques Rioux
    • Donald James ErdmanJacques Rioux
    • G06Q10/00G06N5/02G06Q40/00
    • G06Q40/08G06Q10/067
    • Systems and methods are provided for determining a loss mitigation reserve requirement based on a risk measure estimation and a confidence interval associated with the risk measure estimation. Distribution parameters of a frequency model and distribution parameters of a severity model are determined, and a covariance matrix representing the determined parameters of the distribution of the frequency model and the determined parameters of distribution of the severity model is generated. One or more analytical derivatives of a cumulative distribution function of the frequency model, one or more analytical derivatives of a cumulative distribution function of the severity model, and a parameter covariance matrix are calculated. A confidence interval is computed for the risk measure estimation based on a vector of derivatives of a cumulative distribution function.
    • 提供了系统和方法,用于基于与风险度量估计相关联的风险度量估计和置信区间确定损失缓解准备金要求。 确定频率模型的分布参数和严重性模型的分布参数,并生成表示频率模型分布的确定参数的协方差矩阵和确定的严重性模型分布参数。 计算频率模型的累积分布函数,严重性模型的累积分布函数的一个或多个分析导数和参数协方差矩阵的一个或多个分析导数。 基于累积分布函数的导数向量计算风险度量估计的置信区间。