Abstract: Described herein are techniques are provided for enabling a security orchestration, automation, and response (SOAR) service to automatically manage apps used to interface with an integrated security operations service and other related devices and services. Further described herein is a SOAR app generator service or application used to automate the creation of apps for a SOAR service based on application programming interfaces (API) specifications for related devices or services, as well as visual playbook editor interfaces for a SOAR service that enable the configuration of complex action input parameters including arrays and objects.

Abstract: According to one aspect, a system for ultraviolet (UV) disinfection may include a switch and a lamp fixture. The lamp fixture may include a UV lamp and a UV controller. The switch may be configured to receive a command to engage in a UV disinfection mode. The UV controller may be configured to receive the command to engage in the UV disinfection mode from the switch via a switched line. The UV controller may activate the UV lamp based on the received command to engage in the UV disinfection mode.

Abstract: Systems and methods for training object detection models using adversarial examples are provided. A method includes obtaining a training scene and identifying a target object within the training scene. The method includes obtaining an adversarial object and generating a modified training scene based on the adversarial object, the target object, and the training scene. The modified training scene includes the training scene modified to include the adversarial object placed on the target object. The modified training scene is input to a machine-learned model configured to detect the training object. A detection score is determined based on whether the training object is detected, and the machine-learned model and the parameters of the adversarial object are trained based on the detection output. The machine-learned model is trained to maximize the detection output. The parameters of the adversarial object are trained to minimize the detection output.

Abstract: A workpiece is electrodischarge machined using a machining apparatus having a workpiece holder, an electrode holder having an electrode mounted thereto, and a power supply providing an electrical voltage and current. The workpiece is mounted in the workpiece holder, and the electrode is positioned adjacent to a machining location of the workpiece. The method further includes furnishing a source of a flow of conditioned water, directing the flow of conditioned water from the source into the machining location of the workpiece, without submerging the machining location in a liquid, and applying a voltage from the power supply such that an electrical current flows between the workpiece and the electrode holder so that metal is removed from the workpiece into the flow of conditioned water.