Abstract: Identifying subjects based on correlated self and/or family relation (e.g., kinship) characteristics (e.g., fingerprints and/or voice) is described. A previously unseen image or scan or other representation(s) of a fingerprint and/or voice recording of an unknown subject may be used to identify the subject. The previously unseen images of the fingerprint and/or the voice recording may be compared to a database of images of other fingerprints and/or voice recordings. The database of images of other fingerprints and/or voice recordings may include images of other fingerprints and/or other voice recordings of the subject, and/or images of fingerprints and/or voice recordings of family members of the subject. The previously unseen images of the fingerprint and/or the voice recording are correlated with images of other fingerprints and/or voice recordings from the subject, and/or images of fingerprints and/or voice recordings of family members of the subject to identify the subject.

Abstract: Described are techniques for automated labeling of cybersecurity incidents. The techniques include generating a set of labels for a received cybersecurity incident based on features of the received cybersecurity incident. The techniques further include prioritizing the set of labels to generate a subset of labels, and associating the subset of labels to the received cybersecurity incident.

Abstract: Techniques are provided for generating security response recommendations. In one embodiment, the techniques involve receiving scoring functions, a logical operator selection, a security graph, and external threat intelligence, generating a search pattern based on the scoring functions and the logical operator selection, evaluating the search pattern against a selected node of the security graph to identify a potential security threat represented by the security graph at the selected node, and generating a recommendation based on the evaluation and the external threat intelligence.

Abstract: The present disclosure relates generally to determining confidence scores for facial image based family relation (e.g., kinship) determinations. A confidence score of a previously unseen facial image (of an unknown individual) search result is determined without knowing the search result's ground truth, based on previously conducted tests of a dataset with a known ground truth, and using prediction results to infer the confidence of the previously unseen example.

Abstract: An example system includes a processor to execute a key point analysis to extract key points from a number of input sentences. The processor can compute directional relation scores between the extracted key points. The processor can construct a key point graph based on the extracted key points and the directional relation scores. The processor can generate a key point graph visualization based on the key point graph.

Abstract: An example system includes a processor to execute a key point analysis to extract key points from a number of input sentences. The processor can compute directional relation scores between the extracted key points. The processor can construct a key point graph based on the extracted key points and the directional relation scores. The processor can generate a key point graph visualization based on the key point graph.

Abstract: Systems and methods for securing content using unidirectional encryption. A method includes obtaining a first transformed array created by applying a transformation process to an inference array, wherein the inference array is a reduced representation of media content created by embedding the media content, wherein the first transformed array preserves a dot product result of the inference array, wherein the transformation process is a unidirectional process such that attempting to reconstruct the media content using the first transformed array will result in different media content; determining a dot product result between the first transformed array and a second transformed array created using the transformation process; checking conditions using the dot product result between the first transformed array and the second transformed array; and determining a relationship between the first transformed array and the second transformed array based on the checking of the conditions.

Abstract: Techniques are provided for generating security response recommendations. In one embodiment, the techniques involve receiving scoring functions, a logical operator selection, a security graph, and external threat intelligence, generating a search pattern based on the scoring functions and the logical operator selection, evaluating the search pattern against a selected node of the security graph to identify a potential security threat represented by the security graph at the selected node, and generating a recommendation based on the evaluation and the external threat intelligence.

Abstract: A computing system, computer program product, and computer-implemented method for quantitative comment summarization are provided. The method includes receiving a collection of comments, identifying a set of candidate key points corresponding to the collection of comments, and selecting a subset of key points from the set of candidate key points, wherein the selected subset of key points includes key points that are most salient in the collection of comments. The method also includes automatically mapping each comment within the collection of comments to any corresponding key points within the subset of key points based on a match score between each comment and key point pair, as well as generating a summary including the subset of key points and an absolute number or percentage of the comments mapped to each key point.

Abstract: Described are techniques for automated labeling of cybersecurity incidents. The techniques include generating a set of labels for a received cybersecurity incident based on features of the received cybersecurity incident. The techniques further include prioritizing the set of labels to generate a subset of labels, and associating the subset of labels to the received cybersecurity incident.

Abstract: Systems, apparatuses, and methods of fluid delivery for liquid electrophotography printing. A fluid delivery apparatus includes a charged ink source, a supplemental fluid source, a working suspension tank in fluid communication with the charged ink source and the supplemental fluid source, a sensor, and an optical density control unit. The charged ink source is to store a charged ink mixture including charge directors and toner particles. The supplemental fluid source is to store a supplemental fluid including imaging oil. The working suspension tank is to store a working suspension mixture including the charge directors, the toner particles, and the imaging oil. The sensor is to monitor an optical density of print output of the liquid electrophotography printing apparatus. The optical density control unit is to determine whether to supply an uncharged ink mixture to the working suspension tank in response to the monitored optical density indicating electrical fatigue.

Abstract: A liquid electrophotographic (LEP) ink composition is described. The composition comprises: a pigment particle having an acidic surface modification; a basic charge director selected from:(i) a polymeric amine dispersant having a Total Base Number of at least 100 mg KOH/gram material, and (ii) a sulfosuccinate salt of the general formula MAn, wherein M is a metal, n is the valence of M, and A is an ion of the general formula (I): [R1—O—C(O)CH2CH(SO3)C(O)—O—R2]? (I); and a liquid carrier. The ink composition does not include a thermoplastic resin. Also described are a method of producing the ink composition, and a method of printing using the ink composition.

Abstract: A computing system, computer program product, and computer-implemented method for quantitative comment summarization are provided. The method includes receiving a collection of comments, identifying a set of candidate key points corresponding to the collection of comments, and selecting a subset of key points from the set of candidate key points, wherein the selected subset of key points includes key points that are most salient in the collection of comments. The method also includes automatically mapping each comment within the collection of comments to any corresponding key points within the subset of key points based on a match score between each comment and key point pair, as well as generating a summary including the subset of key points and an absolute number or percentage of the comments mapped to each key point.

Abstract: Automated detection of personal information in free text, which includes: automatically applying a named-entity recognition (NER) algorithm to a digital text document, to detect named entities appearing in the digital text document, wherein the named entities are selected from the group consisting of: at least one person-type entity, and at least one non-person-type entity; automatically detecting at least one relation between the named entities, by applying a parts-of-speech (POS) tagging algorithm and a dependency parsing algorithm to sentences of the digital text document which contain the detected named entities; automatically estimating whether the at least one relation between the named entities is indicative of personal information; and automatically issuing a notification of a result of the estimation.

Abstract: A method of calibrating a developer unit of a liquid electrophotographic printer, the method comprising: setting a developer roller voltage and iteratively printing a patch on a print medium using different electrode voltages until a hue of a patch printed using one of the electrode voltages is within a tolerance of a target hue; and setting an electrode voltage based on said one of the electrode voltages and iteratively printing a patch on a print medium using different developer roller voltages until a hue of a patch printed using one of the developer roller voltages is within the tolerance of the target hue.

Abstract: A computerized text analysis method that comprises: searching a resource of information with a search query comprising at least one of: (a) the specific debatable topic, and (b) a personal derivation of the specific debatable topic, to obtain a list of indices whose index subject contains the personal derivation and/or the specific debatable topic; determining, by applying a rule-based classifier, whether the index subject of each of the indices is (i) in favor of the debatable topic or (ii) against the debatable topic; detecting, in each of the indices, hyperlinks to encyclopedic entries whose entry subjects are person names; and determining that: if the index subject of each of the one or more indices is in favor of the specific debatable topic, then the persons are in favor of the specific debatable topic, and vice versa.

Abstract: A computerized text analysis method that comprises: searching a resource of information with a search query comprising at least one of: (a) the specific debatable topic, and (b) a personal derivation of the specific debatable topic, to obtain a list of indices whose index subject contains the personal derivation and/or the specific debatable topic; determining, by applying a rule-based classifier, whether the index subject of each of the indices is (i) in favor of the debatable topic or (ii) against the debatable topic; detecting, in each of the indices, hyperlinks to encyclopedic entries whose entry subjects are person names; and determining that: if the index subject of each of the one or more indices is in favor of the specific debatable topic, then the persons are in favor of the specific debatable topic, and vice versa.

Abstract: A method including: generating, from a text corpus, a lexicon of unigrams and bigrams comprising an embedding for each of said unigrams and bigrams; training a machine learning classifier on a training set comprising a subset of said lexicon, wherein each of said unigrams and bigrams in said subset has a sentiment label; applying said machine learning classifier to said lexicon, to (i) predict a sentiment of each of said unigrams and bigrams, and (ii) update said lexicon with the predicted sentiments; and performing statistical analysis on said updated lexicon, to extract one or more sentiment composition lexicons, wherein each of said one or more sentiment composition lexicons is associated with a sentiment composition class.

Abstract: A method for quantifying a similarity between a target dataset and multiple source datasets and identifying one or more source datasets that are most similar to the target dataset is provided. The method includes receiving, at a computing system, source datasets relating to a source domain and a target dataset relating to a target domain of interest. Each dataset is arranged in a tabular format including columns and rows, and the source datasets and the target dataset include a same feature space. The method also includes pre-processing, via a processor of the computing system, each source-target dataset pair to remove non-intersecting columns. The method further includes calculating at least two of a dataset similarity score, a row similarity score, and a column similarity score for each source-target dataset pair, and summarizing the calculated similarity scores to identify one or more source datasets that are most similar to the target dataset.

Abstract: Described herein is magenta ink composition, comprising a pigment consisting of one or more quinacridone pigments; a resin; and a polymeric amine dispersant having a Total Base Number of at least 300 mg KOH/gram. Also described herein is a method of printing comprising applying the magenta ink composition to a substrate, and a printed substrate comprising the magenta ink composition.