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21. 发明申请

US20100119126A1 Method and System for Binarization of Biometric Data 有权
标题翻译：生物特征数据二值化方法与系统
公开(公告)号：US20100119126A1
公开(公告)日：2010-05-13
申请号：US12688089
申请日：2010-01-15
申请人： Shantanu Rane , Abhishek Nagar , Anthony Vetro
发明人： Shantanu Rane , Abhishek Nagar , Anthony Vetro
IPC分类号： G06K9/00
CPC分类号： G06K9/00067 , G06K9/38 , H04L9/3231
摘要： Embodiments of the invention disclose a system and a method for transforming a biometric of a user to a binary feature vector suitable for user authentication, comprising steps of: partitioning the biometric into a set of regions, wherein each region is a contiguous region confining a part of the biometric; determining, for each region, biometric parameters; applying, to each region, binary logical conditions to produce at least one bit of the binary feature vector, wherein the applying is performed by a processer; and outputting the binary feature vector.
摘要翻译：本发明的实施例公开了一种用于将用户的生物特征变换成适合于用户认证的二进制特征向量的系统和方法，包括以下步骤：将所述生物特征划分为一组区域，其中每个区域是限制部分的连续区域的生物识别为每个区域确定生物特征参数; 向每个区域应用二进制逻辑条件以产生所述二进制特征向量的至少一个位，其中所述应用由处理器执行; 并输出二进制特征向量。

22. 发明申请

US20120230396A1 Method for Embedding Decoding Information in Quantized Transform Coefficients 审中-公开
标题翻译：在量化变换系数中嵌入解码信息的方法
公开(公告)号：US20120230396A1
公开(公告)日：2012-09-13
申请号：US13250972
申请日：2011-09-30
申请人： Robert A. Cohen , Shantanu Rane , Anthony Vetro , Huifang Sun
发明人： Robert A. Cohen , Shantanu Rane , Anthony Vetro , Huifang Sun
IPC分类号： H04N7/26
CPC分类号： H04N19/467 , H04N19/18 , H04N19/196 , H04N19/463 , H04N19/48 , H04N19/61 , H04N19/70
摘要： A method decodes a picture in a form of a bit-stream. The picture is encoded and represented by vectors of coefficients. Each coefficient is in a quantized form. A specific coefficient is selected in each vector based on a scan order of the vector. Then, a set of modes is inferred based on characteristics of the specific coefficient. Subsequently, the bit-stream is decoded according to the set of modes.
摘要翻译：一种方法以比特流的形式对图像进行解码。图像被编码并由系数矢量表示。每个系数都是量化的形式。基于向量的扫描顺序在每个向量中选择特定系数。然后，基于特定系数的特征推断出一组模式。随后，根据模式集合解码比特流。

23. 发明申请

US20100246812A1 Secure Similarity Verification Between Encrypted Signals 有权
标题翻译：加密信号之间的安全相似性验证
公开(公告)号：US20100246812A1
公开(公告)日：2010-09-30
申请号：US12413990
申请日：2009-03-30
申请人： Shantanu Rane , Wei Sun , Anthony Vetro
发明人： Shantanu Rane , Wei Sun , Anthony Vetro
IPC分类号： H04L9/28
CPC分类号： H04L9/008 , G09C1/00 , H04L9/302 , H04L9/321 , H04L9/3271
摘要： A method for verifying a similarity between a first signal and a second signal is described. The first and the second signals are encrypted homomorphically using a key. First, we acquire a set of error patterns determined by a similarity constraint. Then, each error pattern is homomorphically encrypted using the key and presented to a verifier in the setup phase. The verifier declares the first signal similar to the second signal, if any error pattern in the set of error patterns satisfies a homomorphic relationship between the first encrypted signal and the second encrypted signal.
摘要翻译：描述了用于验证第一信号和第二信号之间的相似性的方法。第一和第二信号使用密钥同态加密。首先，我们获取由相似性约束确定的一组错误模式。然后，使用密钥对每个错误模式进行同态加密，并在设置阶段提供给验证者。验证者声明类似于第二信号的第一信号，如果错误模式集合中的任何错误模式满足第一加密信号和第二加密信号之间的同态关系。

24. 发明申请

US20130339814A1 Method for Processing Messages for Outsourced Storage and Outsourced Computation by Untrusted Third Parties 审中-公开
标题翻译：处理不信任第三方外包存储和外包计算信息的方法
公开(公告)号：US20130339814A1
公开(公告)日：2013-12-19
申请号：US13525209
申请日：2012-06-15
申请人： Shantanu Rane , Wei Sun
发明人： Shantanu Rane , Wei Sun
IPC分类号： H03M13/05 , G06F11/10
CPC分类号： G06F11/08 , H03M13/05
摘要： A message is stored and processed by an untrusted third party by generating a codeword using a selected one of a set of error correcting codes (ECC). The selected ECC depends on a weight rate of the block, and each codeword satisfies a minimum distance criterion with respect to the codewords of all possible ECCs and all possible weight rates. Each symbol of the codeword is modifying explicitly, randomly and independently according to parameters of a channel to obtain a randomized codeword. Then, an encoded result of an operation performed on the randomized codeword by the untrusted third party is decoded.
摘要翻译：消息由不可信第三方通过使用一组纠错码（ECC）中选择的一个生成码字来存储和处理。选择的ECC取决于块的权重率，并且每个码字相对于所有可能的ECC的码字和所有可能的权重率满足最小距离标准。代码字的每个符号根据信道的参数被明确，随机和独立地修改以获得随机码字。然后，解码由不可信第三方对随机码字执行的操作的编码结果。

25. 发明授权

US08433893B2 Privacy-preserving probabilistic inference based on hidden markov models 有权
标题翻译：基于隐马尔可夫模型的隐私保护概率推理
公开(公告)号：US08433893B2
公开(公告)日：2013-04-30
申请号：US13076418
申请日：2011-03-30
申请人： Wei Sun , Shantanu Rane
发明人： Wei Sun , Shantanu Rane
IPC分类号： H04L29/06
CPC分类号： H04L9/00 , G09C1/00 , H04L9/008 , H04L2209/42
摘要： Parameters of a hidden Markov model (HMM) are determined by a server based on an observation sequence stored at a client, wherein the client has a decryption key and an encryption key of an additively homomorphic cryptosystem, and the server has only the encryption key. The server initializes parameters of the HMM and updates the parameters iteratively until a difference between a probability of the observation sequence of a current iteration and a probability of the observation sequence of a previous iteration is above a threshold, wherein, for each iteration, the parameters are updated based on an encrypted conditional joint probability of each pair of states given the observation sequence and the parameters of the HMM, wherein the encrypted conditional probability is determining in an encrypted domain using a secure multiparty computation (SMC) between the server and the client.
摘要翻译：隐马尔可夫模型（HMM）的参数由服务器基于存储在客户端的观察序列确定，其中客户端具有加密同态密码系统的解密密钥和加密密钥，并且服务器仅具有加密密钥。服务器初始化HMM的参数并重复更新参数，直到当前迭代的观察序列的概率与先前迭代的观察序列的概率之间的差异高于阈值，其中，对于每次迭代，参数基于给定观察序列和HMM的参数的每对状态的加密条件联合概率更新，其中加密的条件概率在加密域中使用服务器和客户端之间的安全多方计算（SMC）来确定。

26. 发明申请

US20120254612A1 Privacy-Preserving Probabilistic Inference Based on Hidden Markov Models 有权
标题翻译：基于隐马尔可夫模型的隐私保护概率推理
公开(公告)号：US20120254612A1
公开(公告)日：2012-10-04
申请号：US13076410
申请日：2011-03-30
申请人： Shantanu Rane , Wei Sun , Manas A. Pathak , Bhiksha Raj
发明人： Shantanu Rane , Wei Sun , Manas A. Pathak , Bhiksha Raj
IPC分类号： G06N5/02 , H04L9/32
CPC分类号： H04L9/008 , G06N7/005 , H04L2209/46
摘要： A probability of an observation sequence stored at a client is evaluated securely with respect to a hidden Markov model (HMM) stored at a server. The server determines, for each state of the HMM, an encryption of a log-probability of a current element of the observation sequence. Determines, for each state of the HMM, an encryption of a log-summation of a product of a likelihood of the observation sequence based on a previous element of the observation sequence and a transition probability to the state of the HMM. Determines an encryption of a log-likelihood of the observation sequence for each state as a product of the encryption of a log-summation and an encryption of a corresponding log-probability of the current element of the observation sequence; and determines an encryption of the log-probability of the observation sequence based on the log-likelihood of the observation sequence for each state.
摘要翻译：相对于存储在服务器中的隐马尔可夫模型（HMM），安全地评估存储在客户端的观察序列的概率。对于HMM的每个状态，服务器确定观察序列的当前元素的对数概率的加密。确定对于HMM的每个状态，基于观测序列的先前元素和HMM状态的转移概率，对观测序列的可能性的乘积的对数加和进行加密。确定每个状态的观察序列的对数似然度的加密，作为对数求和的加密和观察序列的当前元素的相应对数概率的加密的乘积; 并且基于每个状态的观察序列的对数似然度来确定观察序列的对数概率的加密。

27. 发明申请

US20120143922A1 Differentially private aggregate classifier for multiple databases 有权
标题翻译：用于多个数据库的差异化私有聚合分类器
公开(公告)号：US20120143922A1
公开(公告)日：2012-06-07
申请号：US12960221
申请日：2010-12-03
申请人： Shantanu Rane , Manas A. Pathak , Bhiksha Ramakrishnan
发明人： Shantanu Rane , Manas A. Pathak , Bhiksha Ramakrishnan
IPC分类号： G06F17/30
CPC分类号： G06F17/30539 , G06F21/6245 , G06Q10/00
摘要： Embodiments of the invention disclose a system and a method for determining a differentially private aggregate classifier for a set of databases, wherein each database in the set of databases is associated with a classifier and a noise value, wherein the classifier and the noise value are determined locally for each database, such that a combination of the classifier and the noise value ensure a differential data privacy of the database, and wherein the differentially private aggregate classifier preserves the differential data privacy of each database. The differentially private aggregate classifier is a combination of the classifiers of the set of databases modified with the noise value corresponding to a smallest database in the set of databases.
摘要翻译：本发明的实施例公开了一种用于确定一组数据库的差分私有聚类分类器的系统和方法，其中数据库集合中的每个数据库与分类器和噪声值相关联，其中分类器和噪声值被确定本地为每个数据库，使得分类器和噪声值的组合确保数据库的差异数据隐私，并且其中差异化私有聚合分类器保留每个数据库的差分数据隐私。差异化私有聚合分类器是用数据库集中的最小数据库对应的噪声值修改的数据库集合的分类器的组合。

28. 发明授权

US08898478B2 Method for querying data in privacy preserving manner using attributes 有权
标题翻译：使用属性以隐私保护方式查询数据的方法
公开(公告)号：US08898478B2
公开(公告)日：2014-11-25
申请号：US13525191
申请日：2012-06-15
申请人： Wei Sun , Shantanu Rane
发明人： Wei Sun , Shantanu Rane
IPC分类号： G06F11/30 , G06F12/14 , H04L9/00 , G06F21/60
CPC分类号： G06F21/602 , G06F21/6254 , G06F2221/2107 , H04L9/00 , H04L9/008 , H04L9/3073
摘要： A client queries a set of encrypted data instances located at a server with a query attribute of the client. The set of encrypted data instances is associated with a set of ciphertexts, wherein a ciphertext is an encrypted function of a representation of a corresponding data instance and a data instance attribute extracted from the corresponding data instance. The client decrypts the ciphertext from the set of ciphertexts based on a distance function of the query attribute and the data instance attribute to produce the representation, and accesses the corresponding data instance using the representation.
摘要翻译：客户端使用客户端的查询属性查询位于服务器的一组加密数据实例。一组加密数据实例与一组密文相关联，其中密文是对应数据实例的表示的加密函数和从相应的数据实例提取的数据实例属性。客户端根据查询属性和数据实例属性的距离函数从密文集中解密密文，以生成表示，并使用该表示访问相应的数据实例。

29. 发明申请

US20140105385A1 Method for Privacy-Preserving Order Selection of Encrypted Element 有权
标题翻译：加密元素隐私保护顺序选择方法
公开(公告)号：US20140105385A1
公开(公告)日：2014-04-17
申请号：US12965066
申请日：2010-12-10
申请人： Shantanu Rane , Wei Sun
发明人： Shantanu Rane , Wei Sun
IPC分类号： H04L9/08
CPC分类号： H04L9/0819 , H04L9/008 , H04L2209/46
摘要： A system and a method select an encrypted element in an encrypted vector according to an order of the encrypted element in the encrypted vector. The selecting is performed in a privacy-preserving manner. Values of the elements of the encrypted vector are scaled, such that the order of the elements in the encrypted vector is preserved, and then permuted to produce a scaled permuted vector. Information in the encrypted domain indicative of an order of elements in the scaled permuted vector is provided to a second processor having a private key. The second processor decrypts the information to determine the index of the encrypted element based on the order of the elements. The encrypted element is obliviously selected based on the index.
摘要翻译：系统和方法根据加密向量中加密元素的顺序选择加密向量中的加密元素。以隐私保护的方式执行选择。加密矢量的元素的值被缩放，使得保存加密矢量中的元素的顺序，然后被排列以产生缩放的置换向量。将表示缩放置换向量中的元素的顺序的加密域中的信息提供给具有私钥的第二处理器。第二处理器根据元素的顺序解密信息以确定加密元素的索引。基于索引忽略加密元素。

30. 发明授权

US08473537B2 Secure multi-party computation of normalized sum-type functions 有权
标题翻译：安全多方计算归一化求和函数
公开(公告)号：US08473537B2
公开(公告)日：2013-06-25
申请号：US12890151
申请日：2010-09-24
申请人： Shantanu Rane , Ye Wang , Wei Sun , Prakash Ishwar
发明人： Shantanu Rane , Ye Wang , Wei Sun , Prakash Ishwar
IPC分类号： G06F7/38
CPC分类号： G06F7/5057 , G06F7/5443 , H03M13/1111 , H03M13/658 , H04B10/6165 , H04L9/3218 , H04L2209/46 , H04L2209/50
摘要： Embodiments of present invention disclose a system and a method for determining a result of a function applied to a first vector and a second vector, wherein the function is a normalized sum-type function. The first vector is stored at a first processor, and the second vector is stored at a second processor. The system and the method determine a joint empirical probability distribution (JEPD) of the first vector and the second vector using a secure multi-party computation. The function is determined as a normalized summation of products of values of the JEPD with corresponding values of the function.
摘要翻译：本发明的实施例公开了一种用于确定应用于第一矢量和第二矢量的功能的结果的系统和方法，其中该功能是归一化的和型功能。第一矢量存储在第一处理器中，第二矢量被存储在第二处理器中。系统和方法使用安全多方计算确定第一向量和第二向量的联合经验概率分布（JEPD）。该函数被确定为JEPD的值的乘积与函数的相应值的归一化求和。

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