WEI SUN, M.D.
Osteopathic Medicine at Mount Auburn St, Cambridge, MA
License number
Massachusetts 256157
Category
Osteopathic Medicine
Type
Internal Medicine
Address
Address
2
330 Mount Auburn St, Cambridge, MA 02138
20 Ralph Piteri Ter APT 1D, Watertown, MA 02472
20 Ralph Piteri Ter APT 1D, Watertown, MA 02472
Phone
(617) 492-3500
(951) 522-7399
(951) 522-7399
Personal information
See more information about WEI SUN at radaris.comName
Address
Phone
45 Slocum Rd, Jamaica Plain, MA 02130
37 Drummer Rd, Acton, MA 01720
9 Sherburne Rd, Lexington, MA 02421
5 Bradford Rd #64, Winchester, MA 01890
70 Park St APT 31, Somerville, MA 02143
Professional information
Privacy-Preserving Probabilistic Inference Based On Hidden Markov Models
US Patent:
8433893, Apr 30, 2013
Filed:
Mar 30, 2011
Appl. No.:
13/076418
Inventors:
Wei Sun - Cambridge MA, US
Shantanu Rane - Cambridge MA, US
Shantanu Rane - Cambridge MA, US
Assignee:
Mitsubishi Electric Research Laboratories, Inc. - Cambridge MA
International Classification:
H04L 29/06
US Classification:
713150
Abstract:
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.
Privacy-Preserving Probabilistic Inference Based On Hidden Markov Models
US Patent:
8433892, Apr 30, 2013
Filed:
Mar 30, 2011
Appl. No.:
13/076410
Inventors:
Shantanu Rane - Cambridge MA, US
Wei Sun - Cambridge MA, US
Manas A. Pathak - Pittsburgh PA, US
Bhiksha Raj - Pittsburgh PA, US
Wei Sun - Cambridge MA, US
Manas A. Pathak - Pittsburgh PA, US
Bhiksha Raj - Pittsburgh PA, US
Assignee:
Mitsubishi Electric Research Laboratories, Inc. - Cambridge MA
International Classification:
H04L 29/06
US Classification:
713150
Abstract:
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.
Secure Multi-Party Computation Of Normalized Sum-Type Functions
US Patent:
8473537, Jun 25, 2013
Filed:
Sep 24, 2010
Appl. No.:
12/890151
Inventors:
Shantanu Rane - Cambridge MA, US
Ye Wang - Brookline MA, US
Wei Sun - Cambridge MA, US
Prakash Ishwar - Brookline MA, US
Ye Wang - Brookline MA, US
Wei Sun - Cambridge MA, US
Prakash Ishwar - Brookline MA, US
Assignee:
Mitsubishi Electric Research Laboratories, Inc. - Cambridge MA
International Classification:
G06F 7/38
US Classification:
708441
Abstract:
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.
Privacy-Preserving Probabilistic Inference Based On Hidden Markov Models
US Patent:
8402263, Mar 19, 2013
Filed:
Mar 31, 2011
Appl. No.:
13/076424
Inventors:
Wei Sun - Cambridge MA, US
Shantanu Rane - Cambridge MA, US
Shantanu Rane - Cambridge MA, US
Assignee:
Mitsubishi Electric Research Laboratories, Inc. - Cambridge MA
International Classification:
H04L 29/06
US Classification:
713150
Abstract:
A most likely sequence of states corresponding to an observation sequence stored at a client is determined securely with respect to a HMM stored at a server. An encryption of a log-probability of the current element of the observation sequence is determined for each state of the HMM. A product of an encryption of the log-probability of the state for the current element, an encryption of a transition probability to the state, and the encryption of a log-probability of the current element of the observation sequence is determined iteratively, for each state of the HMM, to produce an encrypted matrix of indexes of the states; and the encrypted matrix is transmitted to the client.