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公开(公告)号:US11784800B2
公开(公告)日:2023-10-10
申请号:US17278626
申请日:2020-07-07
Applicant: GOOGLE LLC
Inventor: Craig Wright , Benjamin Kreuter , James Robert Koehler , Arthur Asuncion , Evgeny Skvortsov , Laura Grace Book , Sheng Ma , Jiayu Peng , Xichen Huang
CPC classification number: H04L9/0825 , G06F16/2237 , G06F21/6254 , G06N7/01 , H04L9/008 , H04L9/0643 , H04L9/085 , H04L9/0869 , H04L2209/08 , H04L2209/46
Abstract: Systems and methods for generating min-increment counting bloom filters to determine count and frequency of device identifiers and attributes in a networking environment are disclosed. The system can maintain a set of data records including device identifiers and attributes associated with device in a network. The system can generate a vector comprising coordinates corresponding to counter registers. The system can identify hash functions to update a counting bloom filter. The system can hash the data records to extract index values pointing to a set of counter registers. The system can increment the positions in the min-increment counting bloom filter corresponding to the minimum values of the counter registers. The system can obtain an aggregated public key comprising a public key. The system can encrypt the counter registers using the aggregated shared key to generate an encrypted vector. The system can transmit the encrypted vector to a networked worker computing device.
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公开(公告)号:US20230144763A1
公开(公告)日:2023-05-11
申请号:US17911881
申请日:2021-06-23
Applicant: Google LLC
Inventor: Jiayu Peng , Sheng Na Ma , Xichen Huang , James Robert Koehler , Lu Zhang
IPC: G06F16/215 , G06F16/22 , G06F16/23 , G06F21/62
CPC classification number: G06F16/215 , G06F16/2237 , G06F16/2365 , G06F21/6254
Abstract: Systems and methods are disclosed herein for improved per-frequency counting systems that record interactions between individuals and a group of providers while maintaining differential privacy. A protocol may be defined that specifies frequency bins to categorize identifiers corresponding to individuals. A provider may generate a plurality of private sketches, each corresponding to a plurality of frequencies defined in the protocol. Frequency data is determined for each identifier. Identifiers are encoded into the private sketches corresponding to the identifiers’ associated frequency. The plurality of private sketches from each provider in the group of providers are combined to generate a deduplicated distribution across the group. In one implementation, the private sketches of each provider are sequentially merged until all sketches have been combined, from which the total distribution can be estimated.
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公开(公告)号:US12231542B2
公开(公告)日:2025-02-18
申请号:US18334035
申请日:2023-06-13
Applicant: Google LLC
Inventor: Craig Wright , Laura Grace Book , Sheng Ma , Jiayu Peng , Xichen Huang , Benjamin R. Kreuter , Evgeny Skvortsov , Arthur Asuncion , James Robert Koehler
Abstract: Systems and methods for generating min-increment counting bloom filters to determine count and frequency of device identifiers and attributes in a networking environment are disclosed. The system can maintain a set of data records including device identifiers and attributes associated with device in a network. The system can generate a vector comprising coordinates corresponding to counter registers. The system can identify hash functions to update a counting bloom filter. The system can hash the data records to extract index values pointing to a set of counter registers. The system can increment the positions in the min-increment counting bloom filter corresponding to the minimum values of the counter registers. The system can obtain an aggregated public key comprising a public key. The system can encrypt the counter registers using the aggregated shared key to generate an encrypted vector. The system can transmit the encrypted vector to a networked worker computing device.
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公开(公告)号:US12158868B2
公开(公告)日:2024-12-03
申请号:US17911881
申请日:2021-06-23
Applicant: Google LLC
Inventor: Jiayu Peng , Sheng Na Ma , Xichen Huang , James Robert Koehler , Lu Zhang
IPC: G06F16/215 , G06F16/22 , G06F16/23 , G06F21/62
Abstract: Systems and methods are disclosed herein for improved per-frequency counting systems that record interactions between individuals and a group of providers while maintaining differential privacy. A protocol may be defined that specifies frequency bins to categorize identifiers corresponding to individuals. A provider may generate a plurality of private sketches, each corresponding to a plurality of frequencies defined in the protocol. Frequency data is determined for each identifier. Identifiers are encoded into the private sketches corresponding to the identifiers' associated frequency. The plurality of private sketches from each provider in the group of providers are combined to generate a deduplicated distribution across the group. In one implementation, the private sketches of each provider are sequentially merged until all sketches have been combined, from which the total distribution can be estimated.
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公开(公告)号:US12069161B2
公开(公告)日:2024-08-20
申请号:US17278496
申请日:2020-07-07
Applicant: GOOGLE LLC
Inventor: Craig Wright , Benjamin R. Kreuter , James Robert Koehler , Arthur Asuncion , Evgeny Skvortsov , Laura Grace Book , Sheng Ma , Jiayu Peng , Xichen Huang
CPC classification number: H04L9/0825 , G06F16/2237 , G06F16/2379 , G06F21/6254 , G06N7/01 , H04L9/008 , H04L9/0643 , H04L9/085 , H04L9/0869 , H04L2209/08 , H04L2209/46
Abstract: Systems and methods for generating min-increment counting bloom filters to determine count and frequency of device identifiers and attributes in a networking environment are disclosed. The system can maintain a set of data records including device identifiers and attributes associated with device in a network. The system can generate a vector comprising coordinates corresponding to counter registers. The system can identify hash functions to update a counting bloom filter. The system can hash the data records to extract index values pointing to a set of counter registers. The system can increment the positions in the min-increment counting bloom filter corresponding to the minimum values of the counter registers. The system can obtain an aggregated public key comprising a public key. The system can encrypt the counter registers using the aggregated shared key to generate an encrypted vector. The system can transmit the encrypted vector to a networked worker computing device.
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公开(公告)号:US11909864B2
公开(公告)日:2024-02-20
申请号:US17276643
申请日:2020-07-28
Applicant: GOOGLE LLC
Inventor: Craig Wright , Benjamin R. Kreuter , James Robert Koehler , Evgeny Skvortsov , Arthur Asuncion , Laura Grace Book , Sheng Ma , Jiayu Peng , Xichen Huang
CPC classification number: H04L9/0825 , G06F16/2237 , G06F21/6254 , G06N7/01 , H04L9/008 , H04L9/0643 , H04L9/085 , H04L9/0869 , H04L2209/08 , H04L2209/46
Abstract: Systems and methods for generating min-increment counting bloom filters to determine count and frequency of device identifiers and attributes in a networking environment are disclosed. The system can maintain a set of data records including device identifiers and attributes associated with device in a network. The system can generate a vector comprising coordinates corresponding to counter registers. The system can identify hash functions to update a counting bloom filter. The system can hash the data records to extract index values pointing to a set of counter registers. The system can increment the positions in the min-increment counting bloom filter corresponding to the minimum values of the counter registers. The system can obtain an aggregated public key comprising a public key. The system can encrypt the counter registers using the aggregated shared key to generate an encrypted vector. The system can transmit the encrypted vector to a networked worker computing device.
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公开(公告)号:US20230409774A1
公开(公告)日:2023-12-21
申请号:US17845855
申请日:2022-06-21
Applicant: Google LLC
Inventor: Jiayu Peng , Evgeny Skvortsov
IPC: G06F30/20
CPC classification number: G06F30/20 , G06F2111/08
Abstract: In one aspect, there is provided a method performed by one or more computers, the method including: obtaining multiple observed frequency histograms that each correspond to a respective observed transmission commitment, where a transmission commitment corresponds to a subset of publishers from a set of publishers; generating a frequency model based on the observed frequency histograms, where the frequency model is a parametric model parameterized by a set of model parameters; receiving a request to predict a frequency histogram for a target transmission commitment corresponding to a target subset of publishers; and in response to receiving the request: generating a predicted frequency histogram for the target transmission commitment using the frequency model, and generating one or more predictions characterizing the target transmission commitment using the predicted frequency histogram.
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