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1. 发明授权

US11546166B2 Hash tree computation device 有权
公开(公告)号：US11546166B2
公开(公告)日：2023-01-03
申请号：US16451718
申请日：2019-06-25
申请人： KONINKLIJKE PHILIPS N.V.
发明人： Meilof Geert Veeningen
IPC分类号： H04L29/06 , H04L9/32
摘要： Some embodiments are directed to a hash tree computation device. The hash tree computation device computes a top hash of a hash tree. A hash preimage of a leaf node of the hash tree comprises a type of the leaf node. A hash preimage of an internal node of the hash tree comprises a type count comprising a number of descendants of the internal node having a given type. The hash tree computation device computes the top hash by computing hashes of a current node and of its ancestors, where a hash of an ancestor is computed based on its type count, the type count being computed from types or type counts of its descendants.

2. 发明申请

US20210144127A1 EVALUATION OF EVENTS USING A FUNCTION 有权
公开(公告)号：US20210144127A1
公开(公告)日：2021-05-13
申请号：US16954826
申请日：2018-12-14
申请人： KONINKLIJKE PHILIPS N.V.
发明人： Meilof Geert Veeningen
IPC分类号： H04L29/06
摘要： 2017PF01995 61 Abstract Evaluation of events using a function According to an aspect, there is provided a first node for evaluating an event using a function. A corresponding computer-implemented method of operating a first node to 5 evaluate an event using a function is also provided. The function is evaluated by two parties using garbled circuits, with each party garbling a circuit representing the function, and evaluating the circuit garbled by the other party. 10

3. 发明申请

US20190272379A1 OBLIVIOUS OUTSOURCING OF FILE STORAGE 审中-公开
公开(公告)号：US20190272379A1
公开(公告)日：2019-09-05
申请号：US16334060
申请日：2017-09-19
申请人： KONINKLIJKE PHILIPS N.V.
发明人： Meilof Geert Veeningen
IPC分类号： G06F21/60 , G06F16/182 , G06F16/13 , G06F21/62 , H04L9/08 , H04L9/32 , G06F16/22
摘要： Various embodiments described herein relate to a system for providing file access while keeping both the accessing client and storage server from gaining any information about file contents or access patterns which they are not authorized to obtain. According to various embodiments, a key server instructs the storage server to retrieve a list of files, shuffle and re-encrypt the files in the list, and then send the list to the client. According to some embodiments, the key server also provides the client with information used to access the requested file from the list, re-encrypts the files in the lists again, reshuffles the list, and transmits the list back to the storage server to be recommitted to storage.

4. 发明申请

US20190073608A1 MULTI-PARTY COMPUTATION SYSTEM FOR LEARNING A CLASSIFIER 审中-公开
公开(公告)号：US20190073608A1
公开(公告)日：2019-03-07
申请号：US16122942
申请日：2018-09-06
申请人： KONINKLIJKE PHILIPS N.V.
发明人： Meilof Geert Veeningen
IPC分类号： G06N99/00 , G06F17/30
摘要： Some embodiments are directed to a computation system for learning a classifier from a data set and associated classification data. The system comprises multiple data devices and multiple computation devices. The data set and associated classification data is stored across the multiple data devices. Classifier parameters of the classifier are learned iteratively from the data set. The learning comprises computing local error terms for the classifier from the associated classification data and from classifier results obtained from applying the classifier with the current classifier parameters to the local part of the data set, and providing the local error term as a private input to the multiple computation devices for a multi-party computation among the multiple computation devices.

5. 发明授权

US11368311B2 Batch-wise distributed preprocessing information verification 有权
公开(公告)号：US11368311B2
公开(公告)日：2022-06-21
申请号：US16610674
申请日：2018-05-03
申请人： KONINKLIJKE PHILIPS N.V.
发明人： Meilof Geert Veeningen
IPC分类号： H04L9/32 , H04L9/00 , H04L9/08
摘要： Some embodiments are directed to a dealer device for batch-wise provisioning of preprocessing information for a multiparty computation and an evaluator device for batch-wise distributed verification with one or more other evaluator devices of the preprocessing information. The preprocessing information comprises multiple random values and multiple message authentication codes for blinding and integrity checking respectively in the multi-party computation. The multiple random values and a set of proof values together define a checking polynomial. The dealer device computes proof values wherein the checking polynomial is identical to zero. The evaluator device obtains secret-shares of the random values, proof values, and message authentication codes. The evaluator device checks by a distributed computation with the one or more other evaluator devices that an evaluation of the checking polynomial in a random evaluation point is zero, thus verifying that multiple polynomial checking equations are satisfied on the multiple random values.

6. 发明授权

US11188672B2 Location tracking enabling privacy protection 有权
公开(公告)号：US11188672B2
公开(公告)日：2021-11-30
申请号：US16555336
申请日：2019-08-29
申请人： KONINKLIJKE PHILIPS N.V.
发明人： Peter Petrus Van Liesdonk , Meilof Geert Veeningen , Supriyo Chatterjea
IPC分类号： G06F21/62 , G06F16/29 , G06F16/25 , H04L9/08 , H04L9/00 , H04L9/06 , G06K7/10
摘要： Some embodiments are directed to location-tracking system (100) comprising a location database (120) configured to receive a plurality of location updates from a plurality of tracking devices (112, 113), the plurality of location updates indicating the location of one or more objects, the location updates being stored encrypted with a cryptographic database encryption-key (130), multiple location-analysis devices execute a multi-party computation protocol on the encrypted location updates using a stored key-share, thus jointly computing a location-analysis result secret-shared among the multiple location analysis devices.

7. 发明授权

US11088823B2 Pinocchio/Trinocchio on authenticated data 有权
公开(公告)号：US11088823B2
公开(公告)日：2021-08-10
申请号：US16475421
申请日：2017-12-29
申请人： KONINKLIJKE PHILIPS N.V.
发明人： Meilof Geert Veeningen
IPC分类号： H04L29/06 , H04L9/32 , H04L9/00 , G06F17/16 , H04L9/08 , H04L9/30
摘要： According to an aspect, there is provided a first node for use in a system, the system comprising one or more trusted source nodes, one or more worker nodes and a verifier node, wherein the first node is configured to determine a trusted input commitment key for a trusted input to be input into a computation that is to be evaluated by the one or more worker nodes, wherein the trusted input commitment key is for use by the one or more trusted source nodes in forming a trusted input commitment of one or more trusted inputs; determine a computation evaluation key for use by the one or more worker nodes in determining a proof that a computation on one or more trusted inputs is correct and that the one or more trusted inputs were used in the computation, wherein the computation evaluation key comprises key material for one or more trusted input wires that are for inputting the one or more trusted inputs into the computation, wherein the key material is derived from a trapdoor value, one or more polynomials evaluated in a point corresponding to the trapdoor value that are independent of polynomials representing the computation, and one or more polynomials evaluated in a point corresponding to the trapdoor value that represent the computation; determine a computation verification key for use by the verifier node in verifying the result of the computation by the one or more worker nodes; and publish the trusted input commitment key, the computation evaluation key and the computation verification key. A corresponding method of operating a first node is provided. Other aspects also provide a trusted source node, a worker node and a verifier node, and methods of operating the same.

8. 发明授权

US11537742B2 Sampling from a remote dataset with a private criterion 有权
公开(公告)号：US11537742B2
公开(公告)日：2022-12-27
申请号：US16546380
申请日：2019-08-21
申请人： KONINKLIJKE PHILIPS N.V.
发明人： Meilof Geert Veeningen , Peter Petrus van Liesdonk
IPC分类号： G06F21/62 , G06F17/18 , G06F16/901 , G06K9/62
摘要： Some embodiments are directed to a data sampling device for obtaining a sample of records from a remote dataset satisfying a private criterion using multi-party computation. One or more sample providing devices store respective subdatasets of the remote dataset. The data sampling device determine a candidate size for a sample providing device; requests the sample providing device to determine a candidate sample of the candidate size from the subdataset of the sample providing device; perform a multi-party computation with the sample providing device to obtain a set of indices of records from the candidate sample satisfying the private criterion; sample a subset of the set of indices; and obtains from the sample providing device records of the candidate sample corresponding to the subset of the set of indices.

9. 发明授权

US11362829B2 Distributed privacy-preserving verifiable computation 有权
公开(公告)号：US11362829B2
公开(公告)日：2022-06-14
申请号：US16475756
申请日：2017-12-28
申请人： KONINKLIJKE PHILIPS N.V.
发明人： Meilof Geert Veeningen
IPC分类号： H04L9/32 , H04L9/08 , H04L9/14
摘要： According to an aspect, there is provided a first node for use in a system, wherein the first node is configured to determine a plurality of keys for enabling a computation by a plurality of worker nodes in the system, wherein the computation comprises a plurality of computation parts, wherein the plurality of computation parts comprises one or more types of computation part, and wherein an output from one computation part to another computation part is a shared block; and publish the determined plurality of keys for access by at least one input node in the system, the plurality of worker nodes, and at least one recipient node in the system; wherein the plurality of keys comprises a computation part prove key for each part of the computation; a computation part verification key for each part of the computation; a shared block commitment generation key for each shared block; an input commitment generation key for each input node and computation part combination; and an output commitment generation key for each recipient node and computation part combination. A corresponding method of operating a first node is also provided.

10. 发明授权

US11100427B2 Multi-party computation system for learning a classifier 有权
公开(公告)号：US11100427B2
公开(公告)日：2021-08-24
申请号：US16122942
申请日：2018-09-06
申请人： KONINKLIJKE PHILIPS N.V.
发明人： Meilof Geert Veeningen
IPC分类号： G06N20/00 , G06F16/28
摘要： Some embodiments are directed to a computation system for learning a classifier from a data set and associated classification data. The system comprises multiple data devices and multiple computation devices. The data set and associated classification data is stored across the multiple data devices. Classifier parameters of the classifier are learned iteratively from the data set. The learning comprises computing local error terms for the classifier from the associated classification data and from classifier results obtained from applying the classifier with the current classifier parameters to the local part of the data set, and providing the local error term as a private input to the multiple computation devices for a multi-party computation among the multiple computation devices.

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