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1.发明申请
公开(公告)号：WO2023072421A1
公开(公告)日：2023-05-04
申请号：PCT/EP2021/087326
申请日：2021-12-22
Applicant: NEC LABORATORIES EUROPE GMBH
Inventor： GRAZIOLI, Filippo , CASSARA, Giulia , LAWRENCE, Carolin
Abstract: A computer-implemented method for inductive learning on graphs is disclosed, wherein the graph (110) includes a plurality of entities (112), wherein relationships exist between the entities (112), and wherein the entities (112) and relationships have a name string. According to embodiments of the invention, the method comprises: (a) creating for each entity (112) of the graph (110), based on the entity's (112) name string, a related text corpus; (b) using a pretrained language model (150) to compute, from the related text corpus of an entity (112), a respective contextual entity embedding for each entity (112) of the graph (110); training a graph-based machine-learning, ML, model (210) by using, for each entity (112) of the graph (110), the computed entity embeddings; and repeating, for unseen entities, steps (a) and (b) and using the trained ML model (210) to perform inductive predictions for the unseen entities.
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公开(公告)号：WO2023072375A1
公开(公告)日：2023-05-04
申请号：PCT/EP2021/079689
申请日：2021-10-26
Applicant: NEC LABORATORIES EUROPE GMBH
Inventor： ANDREINA, Sébastien , KARAME, Ghassan , LI, Wenting , MARSON, Giorgia Azzurra
Abstract: The present invention provides a method of providing security for a machine learning, ML, classifier against adaptive gray-box adversarial samples. According to embodiments, the method comprises inspecting, by a detector component, input samples submitted to the ML classifier to identify input samples that appear as noisy versions of previously submitted queries and/or as highly distorted input samples; and forwarding, by the detector component, only those input samples to the ML classifier that were not identified as noisy versions of previously submitted queries or as highly distorted input samples.
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公开(公告)号：WO2023030695A1
公开(公告)日：2023-03-09
申请号：PCT/EP2022/052492
申请日：2022-02-02
Applicant: NEC LABORATORIES EUROPE GMBH
Inventor： SALVAT LOZANO, Josep Xavier , GARCIA-SAAVEDRA, Andres , LI, Xi , COSTA-PÉREZ, Xavier
IPC: H04W28/08
Abstract: The present invention relates to a computer-implemented method of resource allocation for multiple virtualized base stations, vBSs (420), deployed in a shared radio computing platform (410), wherein the vBSs (420) share the same Radio Unit, RU (430), having a fixed number of Physical Resource Blocks, PRBs. With respect to an efficient utilization of both radio resources and available computing resources, the method comprises obtaining, by a radio controller, a set of metrics from the radio computing platform (410) for each of the vBSs (420) deployed; learning, by a learning agent (450) of the radio controller based on the obtained set of metrics, the traffic patterns and the CPU consumption of the vBSs (720) deployed; and computing, by the radio controller based on the knowledge of current CPU set configurations of the vBSs (420) and based on the learned traffic patterns and the CPU consumption of the vBSs (420), a CPU set configuration, L3 cache allocation and PRB assignment for each vBS (420) in such a way that at least one of the overall CPU overhead, the decoding time and SLA violations are minimized.
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公开(公告)号：WO2023016665A1
公开(公告)日：2023-02-16
申请号：PCT/EP2021/073178
申请日：2021-08-20
Applicant: NEC LABORATORIES EUROPE GMBH
Inventor： SORIENTE, Claudio , FIORE, Dario
IPC: H04L9/32
Abstract: The present invention relates to a computer-implemented method for execution of a cryptographic sortition among a group of parties (210, 220). According to an embodiment of the invention, the method comprises committing, by a first party (210) of the group, to a set of n party-specific secret keys k1,..., kn for a block cipher E; obtaining, by the first party (210) and at least a second party (220) of the group, a common input x and an index r; encrypting, by the first party (210), the input x with the r-th key kr of the committed keys k1,..., kn, thereby generating an output y1 of the block-cipher E, and publishing the output y1 together with the key kr used for encryption; and encrypting, by the second party (220), the common input x with the key kr published by the first party (210), thereby generating an output y1' of the block-cipher E, and comparing the generated output y1' with the output y1 published by the first party (210).
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公开(公告)号：WO2023006224A1
公开(公告)日：2023-02-02
申请号：PCT/EP2021/071471
申请日：2021-07-30
Applicant: NEC LABORATORIES EUROPE GMBH
Inventor： CHENG, Bin , FUERST, Jonathan , BAUER, Martin
Abstract: Embodiments of the invention provide a method of identifying entities from different data sources as matching entity pairs that refer to the same real-world object. With regard to a reduction of time and effort required to identify all possible matches from two heterogeneous data sources, the method comprises providing a set of labelling functions to determine the matching entities and the non-matching entities of a source data set (102) and a least one target data (104) set; selecting, from the provided set of labelling functions, a subset of labelling functions for training machine learning models for a blocking module (106) that aims at filtering out as many unmatched entity pairs as possible without missing any true matches and for a matching module (108) that aims at predicting matching results for the remaining entity pairs not filtered out by the blocking module (106); and jointly learning both a blocking model for the blocking module (106) and a matching model for the matching module (108) based on the available unlabeled entity pairs and the labelling functions of the selected subset of labelling functions.
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Patent Agency Ranking6.发明申请
公开(公告)号：WO2022253449A1
公开(公告)日：2022-12-08
申请号：PCT/EP2021/066554
申请日：2021-06-18
Applicant: NEC LABORATORIES EUROPE GMBH
Inventor： GASTINGER, Julia , SCHMIDT, Mischa , JACOBS, Tobias
Abstract: A computer-implemented method for event sequence forecasting of a process instance is disclosed. The method comprises building up and training a three- layered prediction model (160) including a first, a second and a third layer. The first layer is a graph embedding layer that assigns a fixed-dimensional graph embedding vector to each node and relation type in a fused event and knowledge graph (200) that contains available structural information including events, knowledge graph nodes, and the links between them. The second layer is an event embedding layer that assigns to each event of the process instance a fixed-dimensional event embedding vector. The third layer is a prediction layer that receives as input a sequence of event embeddings from the second layer and that generates as output a prediction of an unknown property of the event sequence used as input.
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7.发明申请
公开(公告)号：WO2022242823A1
公开(公告)日：2022-11-24
申请号：PCT/EP2021/062977
申请日：2021-05-17
Applicant: NEC LABORATORIES EUROPE GMBH
Inventor： SOLMAZ, Guerkan , SIRACUSANO, Giuseppe , CIRILLO, Flavio , BAUER, Martin
Abstract: A method for monitoring of a physical environment's proneness to infectious disease transmission, the method comprising: - in a training phase: obtaining unlabeled sensor data from sensors of the physical environment in order to provide a set of sensor features; generating, in particular by applying situation labeling functions, a labeling matrix that is fed to a generative model, wherein said generative model feeds a discriminative classifier model with probabilistic labels for the sensor features, wherein the probabilistic labels of the generative model are used for training the discriminative classifier model; determining, in particular by a feature selection optimizer entity, a subset of the sensor features based on an optimization procedure; and - in an operational phase: using, by the discriminative classifier model, the subset of sensor features for detecting predefined situations, which make the physical environment prone to infectious disease transmission. Furthermore, a corresponding system monitoring of a physical environment's proneness to infectious disease transmission is disclosed.
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公开(公告)号：WO2022223136A1
公开(公告)日：2022-10-27
申请号：PCT/EP2021/069669
申请日：2021-07-14
Applicant: NEC LABORATORIES EUROPE GMBH
Inventor： ULQINAKU, Enis , KOSTIAINEN, Kari , KARAME, Ghassan , CAPKUN, Srdjan
IPC: H04L9/08
Abstract: A method for method for supporting key recovery for a user in a communication system, wherein the communication system includes an online service provider entity and at least two user devices of the user, the method comprising: performing secret sharing according to a secret sharing scheme, wherein the secret sharing scheme is configured to split a secret master key into at least two key shares that are distributed among the user devices of the user, wherein a key share of a user device of the user is split into at least two key share parts that are distributed among the online service provider entity and the other user device(s) of the user, such that a key share part is stored on the online service provider entity; generating a recovery credential for the user, wherein the recovery credential is required for retrieving the key share part from the online service provider entity. Furthermore, a corresponding communication system is disclosed.
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公开(公告)号：WO2022223108A1
公开(公告)日：2022-10-27
申请号：PCT/EP2021/060373
申请日：2021-04-21
Applicant: NEC LABORATORIES EUROPE GMBH
Inventor： HUICI, Felipe , SIRACUSANO, Giuseppe , SANVITO, Davide
Abstract: A method for supporting memory deduplication for unikernel images, the method comprising: aligning, by a memory aligner entity, memory pages of unikernel images such that a consistent memory alignment is generated across the unikernel images; generating, by a memory deduplication identifier entity, a unique page identifier for the memory pages of the unikernel images; matching, by the memory deduplication identifier entity, page identifiers of memory pages for a unikernel image, which is to be loaded into a physical memory, with page identifiers of memory pages that have already been loaded into the physical memory and providing matching information about the matching to a page merger entity; performing, by the page merger entity, page merging based on the matching information provided by the memory deduplication identifier entity. Furthermore, a corresponding system is disclosed.
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公开(公告)号：WO2022167103A1
公开(公告)日：2022-08-11
申请号：PCT/EP2021/054592
申请日：2021-02-24
Applicant: NEC LABORATORIES EUROPE GMBH
Inventor： SZTYLER, Timo , GASTINGER, Julia
Abstract: A recommender system for providing recommendations to users based on a state of interest comprises: an AI unit (104) configured to organize domain of interest (106) information in an initial temporal Knowledge Graph KGt, where t is a timestamp that refers to the present point in time; a prediction component (108) configured to predict, for at least one future point in time t + x, future entities, future links between entities and/or future attributes of entities for the initial Knowledge Graph KGt and to produce at least one new Knowledge Graph KGt+x based on the predictions; a diachronic analyzer (112) configured to simulate situations resulting from the execution of a particular action or a combination of actions at certain points in time and to predict expected temporal Knowledge Graphs for the simulated situations; a graph analyzer (110) configured to classify the Knowledge Graphs produced for the respective points in time and for the simulated situations based on the state of interest; and an evaluation module (114) configured to provide, based on the classification result, a ranked list of recommended actions.
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