Abstract: Various systems and methods for managing an ambient user interface on a laptop are described herein. A laptop device includes an upper portion including a display device and a lower portion coupled to the upper portion with a hinge mechanism, the lower portion including a reflective surface. When the laptop device is closed and the upper portion abuts the lower portion, the display device is configured to display images that are reflected on the reflective surface.

Abstract: Methods and apparatus to detect adversarial malware are disclosed. An example adversarial malware detector includes a machine learning engine to classify a first feature representation representing features of a program as benign or malware, a feature perturber to, when the first feature representation is classified as benign, remove a first one of the features to form a second feature representation, and a decider to classify the program as adversarial malware when the machine learning engine classifies the second feature representation as malware.

Abstract: A technique includes providing real-time collective and collaborative navigation for one or more users to navigate to a destination. Each computing device associated with a member includes navigation objects that is pooled in a server and updated on each client device of users as one or more users navigate to a destination. A set of navigation objects may be created and distributed to the members within the group for the session, whereby the navigation objects are data structures that may be managed by a server. Based on a contextual trigger, the navigation object may be created or modified and used to provide a context to the navigation session. Navigation objects may continuously analyze user context and user situations to detect anomalies for one or more members in the group.

Abstract: The present invention relates to liquid pharmaceutical compositions of tofacitinib or its pharmaceutically acceptable salts thereof, suitable for oral administration, that are stable under varying storage conditions for extended periods of time. The present invention also relates to methods of treating auto-immune disorders using the stable liquid pharmaceutical compositions of tofacitinib. A stable liquid pharmaceutical composition of tofacitinib according to the invention comprises of (a) tofacitinib at a concentration of about 1 mg/mL or more; (b) a pharmaceutically acceptable liquid vehicle; (c) at least one anti-oxidant; and (d) optionally one or more other pharmaceutically acceptable excipients.

Abstract: There is disclosed in one example a computing apparatus, including: a hardware platform including a processor and a memory; a network interface; an operating system including a native internet protocol (IP) stack; and a security agent, including instructions encoded within the memory to instruct the processor to: establish a split virtual private network (VPN) tunnel with a remote VPN service; receive outgoing network traffic; direct a first portion of the outgoing traffic to the VPN tunnel, including determining that the first portion includes an outgoing domain name service (DNS) request; and direct a second portion of the outgoing traffic to the native IP stack.

Abstract: A technique for collecting and using signal reputation data, comprising obtaining a plurality of signal reputation data corresponding to a plurality of locations, categorizing the signal reputation data into groups, calculating signal circles for at least some of the groups based on a representative signal value for the corresponding group, calculating a signal reputation score for each signal circle, determining a best signal circle for a user mobile device within a predetermined distance of dead zones, and sending the best signal circle to the user mobile device based at least in part on the signal reputation score and a location of the user mobile device. In some embodiments, the technique may include some but not all of these actions and additional actions, such as suspending obtaining signal reputation data based on battery status.

Abstract: Code of a particular application is analyzed against a semantic model of a software development kit of a particular platform. The semantic model associates a plurality of application behaviors with respective application programming interface (API) calls of the particular platform. A set of behaviors of the particular application is identified based on the analysis of the code and a particular one of the set of behaviors is identified as an undesired behavior. The particular application can be automatically modified to remediate the undesired behavior. The particular application can be assigned to one of a plurality of device modes, and access to the particular application on a user device can be based on which of the plurality of device modes is active on the user device.

Abstract: Example methods, apparatus, systems and articles of manufacture to implement cooperative mitigation of distributed denial of service attacks originating in local networks are disclosed. An example network element disclosed herein is to detect a first distributed denial of service attack associated with first network traffic received by an Internet service provider network, the first network traffic originating from a first device connected to a local network. The disclosed example network element is also to implement a threat signaling client to transmit first information describing the first distributed denial of service attack to a threat signaling server implemented by a local network router of the local network, and receive second information from the threat signaling server of the local network, the second information to provide a notification when the first network traffic associated with the first distributed denial of service attack has been mitigated.

Abstract: An apparatus, related devices and methods, having a memory element operable to store instructions; and a processor operable to execute the instructions, such that the apparatus is configured to identify sensitive user data stored in the memory by a first application, determine a risk exposure score for the sensitive user data, apply, based on a determination that the risk exposure score is above a threshold, a security policy to restrict access to the sensitive user data, receive a request from a second application to access the sensitive user data, determine whether the first application and the second application are similar applications, and allow access based on a determination that the first application and the second application are similar applications.

Abstract: Mechanisms for authorizing requests to access a resource are provided, the methods comprising: receiving a request to access the resource at a hardware processor from an Internet Protocol (IP) address; determining whether a rule applies to the request to access the resource; in response to determining that a rule does not apply to the request to access the resource, sending a request for authorization; receiving a response to the request for authorization; and in response to the response to the request for authorization indicating that access is authorized, providing a connection to the resource.

Abstract: Methods, apparatus, systems and articles of manufacture are disclosed to verify application permission safety.

Abstract: A generative adversarial neural network system to provide a sequence of actions for performing a task. The system comprises a reinforcement learning neural network subsystem coupled to a simulator and a discriminator neural network. The reinforcement learning neural network subsystem includes a policy recurrent neural network to, at each of a sequence of time steps, select one or more actions to be performed according to an action selection policy, each action comprising one or more control commands for a simulator. The simulator is configured to implement the control commands for the time steps to generate a simulator output. The discriminator neural network is configured to discriminate between the simulator output and training data, to provide a reward signal for the reinforcement learning. The simulator may be non-differentiable simulator, for example a computer program to produce an image or audio waveform or a program to control a robot or vehicle.

Abstract: There is disclosed in one example a computing apparatus, including: a hardware platform including a processor and a memory; an operating system including a priority architecture; a multi-process web browser; and a browser optimizer agent including instructions encoded within the memory to instruct the processor to: inspect a process of the web browser; determine from the inspection that resource utilization for the process can be improved, and adjust resource priority via the operating system to improve resource utilization for the process.

Abstract: There is disclosed in one example a computing apparatus, including: a hardware platform including a processor and a memory; a network interface to communicatively couple to a network; and a network gateway engine to identify devices on the network, the network gateway engine including instructions encoded within the memory to instruct the processor to provide two-phase identification for a device newly-identified on the network, including: a static identification phase including applying discovery probes to the newly-identified device; and a dynamic identification phase including collecting network telemetry for the newly-identified device over time and analyzing the collected network telemetry to determine if the network telemetry is consistent with expected network usage for the newly-discovered device.

Abstract: Example methods, apparatus, systems and articles of manufacture to implement cooperative mitigation of distributed denial of service attacks originating in local networks are disclosed. An example local network router disclosed herein includes a mitigator to mitigate a distributed denial of service attack detected by an Internet service provider, the distributed denial of service attack associated with network traffic originating from a first device connected to a local network. The example local network router also includes a threat signaling server to identify the first device based on first information received from a threat signaling client of the Internet service provider, the first information describing the distributed denial of service attack. The example threat signaling server is also to transmit second information to notify the threat signaling client of the Internet service provider when the network traffic associated with the distributed denial of service attack has been mitigated.

Abstract: The present disclosure relates to a system and method for providing a service on a wearable device where the wearable device is limited in its functionality in some way when compared with a companion device. In particular, the disclosure describes use cases for configuring the wearable device, and use cases for configuring a wearable device and performing service application functions on the wearable device while leveraging a companion device.

Abstract: Methods, apparatus, systems and articles of manufacture are disclosed to verify application permission safety.

Abstract: Particular embodiments described herein provide for system that can be configured to deliver a notification to a user based on the user's preference for each device that receives the notification. The user's preference is based on how the user interacted with similar notifications in the past and the system can change how it will deliver similar notifications to the user in the future based on how the user interacts with the notification.

Abstract: The present invention relates to liquid pharmaceutical compositions of baclofen or a pharmaceutically acceptable salt thereof. More specifically, stable liquid pharmaceutical compositions of baclofen at concentrations of 5 mg/mL or more are provided. Preferably, the liquid pharmaceutical compositions are suitable for oral administration, and stable at pH ranges of 5-8 over a variety of storage conditions, including long-term storage for extended periods of time.

Abstract: The present disclosure relates to a system and method for providing a service on a wearable device where the wearable device is limited in its functionality in some way when compared with a companion device. In particular, the disclosure describes use cases for configuring the wearable device, and use cases for configuring a wearable device and performing service application functions on the wearable device while leveraging a companion device.