Abstract: Thermal management systems include an open circuit refrigeration system featuring a first receiver configured to store a gas, a second receiver configured to store a liquid refrigerant fluid, an evaporator configured to extract heat from a heat load that contacts the evaporator, and an exhaust line, where the first receiver, the second receiver, the evaporator, and the exhaust line are connected to provide a refrigerant fluid flow path.

Abstract: A method and system for explaining a decision process of a machine learning model that includes inputting into a machine learning model a first input data file; receiving a first output data file from the machine learning model based on the first input data file; executing an adversarial attack on the machine learning model, creating a mapping of the one or more units of data of the first input data file with changes by the adversarial attack exceeding a first threshold to one or more segments of the first input data file; determining a density of the changes to the one or more units of data in each of the one or more segments; and displaying the one or more segments of the first input data file having a density of changes to the one or more units of data exceeding a second threshold via a graphical user interface.

Abstract: Techniques are disclosed for managing a device. The techniques include determining whether a user is detected based on one or more authentication devices or one or more persistent presence monitors; and based on the result of the detection, allowing or denying access to the device.

Abstract: Techniques are disclosed for managing a device. The techniques include, in response to a policy check trigger, checking for a policy based on communications with one or more policy-granting devices; and permitting or denying access to the device based on the checking.

Abstract: A thermal management system includes an open circuit refrigeration circuit that has a refrigerant fluid flow path, with the refrigerant fluid flow path including a receiver configured to store a refrigerant fluid, a first control device configured to receive refrigerant from the receiver, a liquid separator, and an evaporator configured to extract heat from a heat load that contacts the evaporator, with the evaporator coupled to the first control device and the liquid separator. The system includes a pump having an inlet and an outlet, with the outlet of the pump coupled to the liquid side outlet of the liquid separator and a second control device that is coupled to an exhaust line, that is coupled to the vapor side outlet of the liquid separator through the second control device. In operation, the evaporator in the open circuit refrigeration circuit would be coupled to a heat load.

Abstract: A thermal management system includes an open circuit refrigeration circuit that has a refrigerant fluid flow path, with the refrigerant fluid flow path including a receiver configured to store a refrigerant fluid, a first control device configured to receive refrigerant from the receiver, a liquid separator, and an evaporator configured to extract heat from a heat load that contacts the evaporator, with the evaporator coupled to the first control device and the liquid separator. The system includes a pump having an inlet and an outlet, with the outlet of the pump coupled to the liquid side outlet of the liquid separator and a second control device that is coupled to an exhaust line, that is coupled to the vapor side outlet of the liquid separator through the second control device. In operation, the evaporator in the open circuit refrigeration circuit would be coupled to a heat load.

Abstract: A computer-automated method for securing unidirectional communication within a network. The method includes orchestrating an automated arrangement and/or coordination of at least one portion of a message using a top level orchestration server, transmitting a first data packet from the top level orchestration server to a first top level backbone server, wherein the first data packet is a first portion of the message, and authenticating the first data packet using the first top level backbone server. The method can include transmitting a second data packet from the first top level backbone server to a second top level backbone server, wherein the second data packet is a second portion of the message and/or the second data packet includes a modified first data packet, and authenticating the second data packet using the second top level backbone server.

Abstract: A thermal management system includes an open circuit refrigeration circuit that has a refrigerant fluid flow path, with the refrigerant fluid flow path including a receiver configured to store a refrigerant fluid, a first control device configured to receive refrigerant from the receiver, a liquid separator, and an evaporator configured to extract heat from a heat load that contacts the evaporator, with the evaporator coupled to the first control device and the liquid separator. The system includes a pump having an inlet and an outlet, with the outlet of the pump coupled to the liquid side outlet of the liquid separator and a second control device that is coupled to an exhaust line, that is coupled to the vapor side outlet of the liquid separator through the second control device. In operation, the evaporator in the open circuit refrigeration circuit would be coupled to a heat load.

Abstract: A system for defending a network against one or more cyber-threats. The system can include a network bus that includes a first node and a second node, such that network traffic flows from the first node to the second node. The system can include an intrusion defense unit connected to the network bus, such that network traffic between the first node and the second node passes through the intrusion defense unit, wherein when a potential cyber-threat is detected in the network traffic, the intrusion defense unit is configured to engage an associated switch to filter the network traffic until the cyber-threat is neutralized.

Abstract: A computer-implemented method for generating an interpretable kernel embedding for heterogeneous data. The method can include identifying a set of base kernels in the heterogeneous data; and creating multiple sets of transformed kernels by applying a unique composition rule or a unique combination of multiple composition rules to the set of base kernels. The method can include fitting the multiple sets into a stochastic process model to generate fitting scores that respectively indicate a degree of the fitting for each of the multiple sets; storing the fitting scores in a matrix; and standardizing the matrix to generate the interpretable kernel embedding for the heterogeneous data.

Abstract: Biometrics fingerprint matching has been done with a heavily hand-tuned and designed process of classical computer vision techniques for several decades. This approach has led to accurate solutions for solving crimes today and, as such, little effort has been devoted to using deep learning in this domain. Exemplary embodiments disclosed herein leverage synthetic data generators to train a neural fingerprint enhancer to improve matching accuracy on real fingerprint images.

Abstract: A thermal management system is described. The thermal management system includes an open circuit refrigeration circuit that has a refrigerant fluid flow path, with the refrigerant fluid flow path including a receiver configured to store a refrigerant fluid, an ejector having a primary flow inlet configured to receive refrigerant, a liquid separator, an evaporator configured to extract heat from a heat load that contacts the evaporator, with the evaporator coupled to the ejector and the liquid separator, and an exhaust line coupled to a vapor side outlet of the liquid separator. In operation, the evaporator in the open circuit refrigeration circuit would be coupled to a heat load.

Abstract: A system for generating a cyber-attack to penetrate a network. The system includes an identification module configured to identify at least one vulnerability of the network by examining at least one of a node of the network, data transmission within the network, or data received from a cyber defense mechanism; a generation module configured to generate a cyber-attack based on the at least one vulnerability of the network, and a goal to be achieved by the cyber-attack. The system includes a penetration module configured to penetrate the network with the cyber-attack and determine an effectiveness rating of the penetration; and a feedback module configured to provide a feedback to the identification module based on at least the effectiveness rating of the penetration.

Abstract: A system and method for transferring an adversarial attack involving generating a surrogate model having an architecture and a dataset that mirrors at least one aspect of a target model of a target module, wherein the surrogate model includes a plurality of classes. The method involves generating a masked version of the surrogate model having ewer classes than the surrogate model by randomly selecting at least one class of the plurality of classes for removal. The method involves attacking the masked surrogate model to create a perturbed sample. The method involves generalizing the perturbed sample for use with the target module. The method involves transferring the perturbed sample to the target module to alter an operating parameter of the target model.

Abstract: Thermal management systems include an open circuit refrigeration system featuring a first receiver configured to store a gas, a second receiver configured to store a liquid refrigerant fluid, an evaporator configured to extract heat from a heat load that contacts the evaporator, and an exhaust line, where the first receiver, the second receiver, the evaporator, and the exhaust line are connected to provide a refrigerant fluid flow path.

Abstract: A thermal management system is described. The thermal management system includes an open circuit refrigeration circuit that has a refrigerant fluid flow path, with the refrigerant fluid flow path including a receiver configured to store a refrigerant fluid, an ejector having a primary flow inlet configured to receive refrigerant, a liquid separator, an evaporator configured to extract heat from a heat load that contacts the evaporator, with the evaporator coupled to the ejector and the liquid separator, and an exhaust line coupled to a vapor side outlet of the liquid separator. In operation, the evaporator in the open circuit refrigeration circuit would be coupled to a heat load.

Abstract: Techniques for secure communication is provided. The techniques include requesting first smart contract execution by one or more nodes of the communication system to determine permissions for communication; performing communication based on the requested permissions; and requesting second smart contract execution by one or more nodes of the communication system to verify information associated with the communication.

Abstract: A system for generating a cyber-attack to penetrate a network. The system includes an identification module configured to identify at least one vulnerability of the network by examining at least one of a node of the network, data transmission within the network, or data received from a cyber defense mechanism; a generation module configured to generate a cyber-attack based on the at least one vulnerability of the network, and a goal to be achieved by the cyber-attack. The system includes a penetration module configured to penetrate the network with the cyber-attack and determine an effectiveness rating of the penetration; and a feedback module configured to provide a feedback to the identification module based on at least the effectiveness rating of the penetration.

Abstract: Disclosed is a cyber threat intelligence platform configured to: a) designate a virtual machine as an attacker machine; b) designate a virtual machine as a victim machine; c) receive cyberattack data representative of a cyberattack executed by the attacker machine against the victim machine; e) receive defense action data representative of a defense action executed by the victim machine against the cyberattack; f) mark a first point in time when the cyberattack is executed, and mark a second point in time when the defense action is initiated; g) compare the first point in time with the second point in time to ascertain an attack-defense time lapse as a performance measure for computer system threat management of cyberattacks or defense actions, and h) view or analyze cyberattack and defense actions for effectiveness, including perspectives derived from the relative timing of the actions as indicated on the time lapse.

Abstract: Exemplary systems and methods to extract, transform, and save to memory features from a training and a test dataset at extraction layers in a machine-learning model. For each data element in the training dataset, at each extraction layer: feature maps are created and grouped by k unique data labels to construct a set of k class-conditional distributions. For each data element in the datasets: distance sets between each feature map of each extraction layer and the extraction layer's class-conditional distributions are calculated and reduced to distance summary metrics. A drift test statistic for each extraction layer is computed between the datasets by comparing the extraction layer's distance summary metric distributions of the test dataset to distance summary metric distributions of the training dataset. The measure of drift between the datasets is computed by combining the test statistics of the extraction layers through a mathematical transform.