Abstract: A method comprises receiving in a governor device, from a plurality of data owner devices, metadata for one or more datasets maintained by the plurality of data owner devices, registering the metadata for the one or more datasets with the governor device, in response to a request from an aggregator, providing at least a portion of the metadata for the one or more datasets to the aggregator, receiving, from the aggregator, a compute plan to be implemented by the plurality of data owner devices, distributing at least a portion of the compute plan to the plurality of data owner devices, in response to receiving, from the plurality of data owner devices, a verification report and a certification for an enclave, binding the enclave to a host device, and providing the compute plan to the plurality of data owner devices.

Abstract: The present invention pertains to methods of coating antimicrobial peptides on the biomaterial and the biomaterial coated thereby. The coating solution described herein comprises one or more antimicrobial peptides (AMPs) dissolved in a buffer containing an anionic surfactant, wherein the AMPs are amphipathic and cationic.

Abstract: Various systems and methods are described for implementing remote attestation and data provenance verification. An example method for attestation and provenance verification, performed by a computing node, includes: receiving evidence from a client relating to a computing task; analyzing the evidence to determine a provenance verification result for trustworthiness of the computing task; evaluating compliance of the computing task with a policy; and returning an attestation token that includes the provenance verification result for the computing task, in response to determining the computing task is compliant with the policy.

Abstract: Methods, apparatus, systems and articles of manufacture for federated training of a neural network using trusted edge devices are disclosed. An example system includes an aggregator device to aggregate model updates provided by one or more edge devices. The one or more edge devices to implement respective neural networks, and provide the model updates to the aggregator device. At least one of the edge devices to implement the neural network within a trusted execution environment.

Abstract: Embodiments discussed herein may be generally directed to systems and techniques to generate a quality score based on an observation and an action caused by an actor agent during a testing phase. Embodiments also include determining a temporal difference between the quality score and a previous quality score based on a previous observation and a previous action, determining whether the temporal difference exceeds a threshold value, and generating an attack indication in response to determining the temporal difference exceeds the threshold value.

Abstract: The present invention pertains to methods of coating antimicrobial peptides on the biomaterial and the biomaterial coated thereby. The coating solution described herein comprises one or more antimicrobial peptides (AMPs) dissolved in a buffer containing an anionic surfactant, wherein the AMPs are amphipathic and cationic.

Abstract: A method comprises receiving in a governor device, from a plurality of data owner devices, metadata for one or more datasets maintained by the plurality of data owner devices, registering the metadata for the one or more datasets with the governor device, in response to a request from an aggregator, providing at least a portion of the metadata for the one or more datasets to the aggregator, receiving, from the aggregator, a compute plan to be implemented by the plurality of data owner devices, distributing at least a portion of the compute plan to the plurality of data owner devices, in response to receiving, from the plurality of data owner devices, a verification report and a certification for an enclave, binding the enclave to a host device, and providing the compute plan to the plurality of data owner devices.

Abstract: Embodiments discussed herein may be generally directed to systems and techniques to generate a quality score based on an observation and an action caused by an actor agent during a testing phase. Embodiments also include determining a temporal difference between the quality score and a previous quality score based on a previous observation and a previous action, determining whether the temporal difference exceeds a threshold value, and generating an attack indication in response to determining the temporal difference exceeds the threshold value.

Abstract: Embodiments discussed herein may be generally directed to systems and techniques to generate a quality score based on an observation and an action caused by an actor agent during a testing phase. Embodiments also include determining a temporal difference between the quality score and a previous quality score based on a previous observation and a previous action, determining whether the temporal difference exceeds a threshold value, and generating an attack indication in response to determining the temporal difference exceeds the threshold value.

Abstract: Technologies for analyzing a Uniform Resource Locator (URL) include a multi-stage URL analysis system. The multi-stage URL analysis system analyzes the URL using a multi-stage analysis. In the first stage, the multi-stage URL analysis system analyzes the URL using an ensemble lexical analysis. In the second stage, the multi-stage URL analysis system analyzes the URL based on third-party detection results. In the third stage, the multi-stage URL analysis system analyzes the URL based on metadata related to the URL. The multi-stage URL analysis system advances the stages of analysis if a malicious classification score determined by each stage does not satisfy a confidence threshold. The URL may also be selected for additional rigorous analysis using selection criteria not used in by the analysis stages.

Abstract: Embodiments discussed herein may be generally directed to systems and techniques to generate a quality score based on an observation and an action caused by an actor agent during a testing phase. Embodiments also include determining a temporal difference between the quality score and a previous quality score based on a previous observation and a previous action, determining whether the temporal difference exceeds a threshold value, and generating an attack indication in response to determining the temporal difference exceeds the threshold value.

Abstract: Methods, apparatus, systems and articles of manufacture for federated training of a neural network using trusted edge devices are disclosed. An example system includes an aggregator device to aggregate model updates provided by one or more edge devices. The one or more edge devices to implement respective neural networks, and provide the model updates to the aggregator device. At least one of the edge devices to implement the neural network within a trusted execution environment.

Abstract: Technologies for analyzing a Uniform Resource Locator (URL) include a multi-stage URL analysis system. The multi-stage URL analysis system analyzes the URL using a multi-stage analysis. In the first stage, the multi-stage URL analysis system analyzes the URL using an ensemble lexical analysis. In the second stage, the multi-stage URL analysis system analyzes the URL based on third-party detection results. In the third stage, the multi-stage URL analysis system analyzes the URL based on metadata related to the URL. The multi-stage URL analysis system advances the stages of analysis if a malicious classification score determined by each stage does not satisfy a confidence threshold. The URL may also be selected for additional rigorous analysis using selection criteria not used in by the analysis stages.

Abstract: A copper-based catalyst which is suitable for converting ammonia of high concentration and with better selectivity, thereby solving a problem of pollution and toxicity due to nitrogen oxides by a conventional catalyst reacting under high temperature is disclosed. The copper-based catalyst comprises: a porous oxide support and a low valent copper compound mixing with the porous oxide support by an acid hydrothermal method; wherein the low valent copper compound with is Cu and Cu2O.

Abstract: An iridium-doped carbon nanotube has an atomic ratio of iridium to carbon on a surface thereof ranging from 1×10?4 to 3.5×10?4 as measured by X-ray photoelectron spectroscopy. A working electrode including the aforesaid iridium-doped carbon nanotube and a sensor including the working electrode are also disclosed in the present invention.

Abstract: A sensing method of an electrochemical sensor including the following steps is provided. First, a fluorescent material is immobilized on a surface of an electrode so as to form a sensing electrode. The sensing electrode is then used to execute an electrochemical test of a target in a light-shielding environment.

Abstract: An iridium-doped carbon nanotube has an atomic ratio of iridium to carbon on a surface thereof ranging from 1×10?4 to 3.5×10?4 as measured by X-ray photoelectron spectroscopy. A working electrode including the aforesaid iridium-doped carbon nanotube and a sensor including the working electrode are also disclosed in the present invention.

Abstract: A compound of formula (I) is disclosed: wherein definitions of R1, R2, and R3 are the same as those defined in the specification. The compound of formula (I) can emit light via an intramolecular interaction of an imino group and an electron-donatable moiety contained in the compound. A photoluminescent organic composition is also disclosed, which includes a compound represented by formula (II) in the presence of an electron-donatable compound, wherein definitions of R4, R5, and R6 are the same as those defined in the specification. The photoluminescent organic composition can emit light via an intermolecular interaction of an imino group contained in the compound of formula (II) and an electron-donatable moiety contained in the electron-donatable compound.

Abstract: The present invention provides a hybridoma cell line (DSM ACC3145), wherein the hybridoma cell line produces an antibody which specifically binds to an amino acid sequence of type II collagen comprising: K-G-E-P-G-D-D-G-P-S-C (as set forth in SEQ ID NO. 1); and a method for detecting osteoarthritis, by identifying a presence of type II collagen in a urine sample through containing the urine sample with the said antibody.

Abstract: A copper-based catalyst which is suitable for converting ammonia of high concentration and with better selectivity, thereby solving a problem of pollution and toxicity due to nitrogen oxides by a conventional catalyst reacting under high temperature is disclosed. The copper-based catalyst comprises: a porous oxide support and a low valent copper compound mixing with the porous oxide support by an acid hydrothermal method; wherein the low valent copper compound with is Cu and Cu2O.