Abstract: The present embodiments relate to a sender sharing a credential associated with a user device to a recipient, allowing temporary access to the user device by the recipient. The sender can specify a user in which to share the credential and can set control parameters relating to the use of the user device by the recipient. The authorizing entity computer can transmit an credential identifier to the processing network computer and receive an encrypted credential from the processing network computer. The authorizing entity computer can transmit the encrypted credential to a storage application on the recipient computer. The recipient computer can then transmit a request to the processing network computer for a token and then obtain the token.

Abstract: Exemplary semiconductor processing methods may include providing one or more deposition precursors to a semiconductor processing chamber. A substrate may be disposed within a processing region of the semiconductor processing chamber. The methods may include depositing a silicon-containing material on the substrate and on one or more components of the semiconductor processing chamber. The methods may include providing a fluorine-containing precursor to the processing region. The fluorine-containing precursor may be plasma-free when provided to the processing region. The methods may include contacting the silicon-containing material on the one or more components of the semiconductor processing chamber with the fluorine-containing precursor. The methods may include removing at least a portion of the silicon-containing material on the one or more components of the semiconductor processing chamber with the fluorine-containing precursor.

Abstract: By way of example, a method includes, responsive to a user request to download, from the internet, a downloadable file with executable content, downloading a portion of the downloadable file, wherein the downloadable file is not executable with the portion; after download the portion of the downloadable file, scanning the portion of the downloadable file for malware characteristics to classify the downloadable file; and completing downloading the downloadable file only after determining, based on the scanning of the portion of the downloadable file, that the downloadable file is not malware.

Abstract: A method renders photorealistic images in a web browser. The method is performed at a computing device having a general purpose processor and a graphics processing unit (GPU). The method includes obtaining an environment map and images of an input scene. The method also includes computing textures for the input scene including by encoding an acceleration structure of the input scene. The method further includes transmitting the textures to shaders executing on a GPU. The method includes generating samples of the input scene, by performing at least one path tracing algorithm on the GPU, according to the textures. The method also includes lighting or illuminating a sample of the input scene using the environment map, to obtain a lighted scene, and tone mapping the lighted scene. The method includes drawing output on a canvas, in the web browser, based on the tone-mapped scene to render the input scene.

Abstract: A method for generating content includes receiving information regarding electronic devices respectively capturing content associated with an event. The method also includes identifying, based on the received information, one or more parameters for the electronic devices to use in capturing the content, the one or more parameters identified to assist in generating multi-view content for the event from the captured content. The method further includes identifying, based on the received information, a common resolution for the electronic devices to use in capturing the content. Additionally, the method includes identifying, based on the received information, a common frame rate for the electronic devices to use in capturing the content. The method also includes sending information indicating the one or more parameters, the common resolution, and the common frame rate to the electronic devices.

Abstract: There is disclosed in one example a hardware computing platform, including: a processor; a memory; a network interface; and a security module, including instructions to cause the processor to: receive a request to download a file via the network interface; download a first portion of the file into a buffer of the memory; analyze the first portion for malware characteristics; assign a security classification to the file according to the analysis of the first portion; and act on the security classification.

Abstract: Various implementations described herein are directed to a device with a reset tree having leaf buffers that provide sensed output signals based on a reset-synchronizing input signal. The device may have a first sensor that receives the sensed output signals from the leaf buffers of the reset tree and provides an attack detection signal based on sensing a malicious attack. The device may have a second sensor that receives the reset-synchronizing input signal, receives the attack detection signal from the first sensor and provides a reset alarm signal based on duration of a timing glitch associated with comparing a difference between the reset-synchronizing input signal and the attack detection signal.

Abstract: Various implementations described herein are directed to a device with a reset tree having leaf buffers that provide sensed output signals based on a reset-synchronizing input signal. The device may have a first sensor that receives the sensed output signals from the leaf buffers of the reset tree and provides an attack detection signal based on sensing a malicious attack. The device may have a second sensor that receives the reset-synchronizing input signal, receives the attack detection signal from the first sensor and provides a reset alarm signal based on duration of a timing glitch associated with comparing a difference between the reset-synchronizing input signal and the attack detection signal.

Abstract: A method renders photorealistic images in a web browser. The method is performed at a computing device having a general purpose processor and a graphics processing unit (GPU). The method includes obtaining an environment map and images of an input scene. The method also includes computing textures for the input scene including by encoding an acceleration structure of the input scene. The method further includes transmitting the textures to shaders executing on a GPU. The method includes generating samples of the input scene, by performing at least one path tracing algorithm on the GPU, according to the textures. The method also includes lighting or illuminating a sample of the input scene using the environment map, to obtain a lighted scene, and tone mapping the lighted scene. The method includes drawing output on a canvas, in the web browser, based on the tone-mapped scene to render the input scene.

Abstract: A method renders photorealistic images in a web browser. The method is performed at a computing device having a general purpose processor and a graphics processing unit (GPU). The method includes obtaining an environment map and images of an input scene. The method also includes computing textures for the input scene including by encoding an acceleration structure of the input scene. The method further includes transmitting the textures to shaders executing on a GPU. The method includes generating samples of the input scene, by performing at least one path tracing algorithm on the GPU, according to the textures. The method also includes lighting or illuminating a sample of the input scene using the environment map, to obtain a lighted scene, and tone mapping the lighted scene. The method includes drawing output on a canvas, in the web browser, based on the tone-mapped scene to render the input scene.

Abstract: There is disclosed in one example a hardware computing platform, including: a processor; a memory; a network interface; and a security module, including instructions to cause the processor to: receive a request to download a file via the network interface; download a first portion of the file into a buffer of the memory; analyze the first portion for malware characteristics; assign a security classification to the file according to the analysis of the first portion; and act on the security classification.

Abstract: Methods, apparatus, systems and articles of manufacture are disclosed to build privacy preserving models. An example apparatus disclosed herein includes a training manager to generate a first modeling plan for client-side resources, and transmit the first modeling plan to the client-side resources. The example apparatus also includes a data aggregator to search for a primary validation flag in response to retrieving client-side model parameters, and an accuracy calculator to, in response to detecting the primary validation flag, perform a secondary validation corresponding to the client-side model parameters using a server-side ground truth data set, and determine whether to update the global model with the client-side model parameters based on a comparison of results of the secondary validation and a validation threshold.

Abstract: Methods, apparatus, systems and articles of manufacture are disclosed to analyze telemetry data of a network device for malicious activity. An example apparatus includes an interface to obtain first telemetry data, a rules generator to, using the first telemetry data, generate a global block list using a machine learning model, the machine learning model generated based on a device specific block list and a device specific allow list, and a model manager to transmit the global block list to a gateway, the gateway to facilitate on-path classification of second telemetry data.

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: A method renders photorealistic images in a web browser. The method is performed at a computing device having a general purpose processor and a graphics processing unit (GPU). The method includes obtaining an environment map and images of an input scene. The method also includes computing textures for the input scene including by encoding an acceleration structure of the input scene. The method further includes transmitting the textures to shaders executing on a GPU. The method includes generating samples of the input scene, by performing at least one path tracing algorithm on the GPU, according to the textures. The method also includes lighting or illuminating a sample of the input scene using the environment map, to obtain a lighted scene, and tone mapping the lighted scene. The method includes drawing output on a canvas, in the web browser, based on the tone-mapped scene to render the input scene.

Abstract: Mechanisms (which can include systems, methods, and media) for securing an Internet of Things (IoT) device are provided, the mechanisms comprising: receiving a DNS request identifying a fully qualified domain name (FQDN) that originated from the IoT device; in response to receiving the DNS request, determining by a hardware processor whether to allow or drop a connection between the IoT device and a target domain corresponding to the FQDN; and responding to the DNS request with instructions to allow or drop the connection based on the determining.

Abstract: The disclosed embodiments illustrate methods and systems for managing parking violations by vehicles in parking areas in real-time. The method includes receiving parking information from one or more sensors installed at each of one or more parking spots in a plurality of parking areas at a specific time. The method includes detecting a parking violation by a vehicle at a parking spot of the one or more parking spots in a parking area. The method includes identifying one or more vehicle identification parameters of the vehicle associated with the detected parking violation. The method includes determining a penalty for the vehicle with the identified one or more vehicle identification parameters. The method includes transmitting the determined penalty to a user-computing device of a user associated with the vehicle with the identified one or more vehicle identification parameters, wherein the user is imposed with the penalty.

Abstract: A method and a system are provided for identifying one or more locations for placement of one or more replenishment stations for one or more vehicles. The method comprises receiving a historical demand data at a plurality of existing replenishment stations within a pre-defined area. The method identifies one or more point of interest locations within the pre-defined area based on a map data. Further, the method receives traffic information between a plurality of road intersections within the pre-defined area. Based on an aggregation of a first demand prediction, a second demand prediction, and a third demand prediction, the method predicts a replenishment demand at a plurality of locations. The method further identifies the one or more locations from the plurality of locations for placement of the one or more replenishment stations based on the predicted replenishment demand at the plurality of locations and a pre-defined threshold.

Abstract: Disclosed are methods and systems for transmitting a first electronic message to an employee. The method further includes generating a first data structure based on one or more first parameters of one or more electronic messages, one or more demographic attributes associated with the employee and one or more second parameters representative of one or more feedbacks provided by the employee on each of the one or more electronic messages other than the first electronic message. The method further includes determining a priority of the first electronic message, wherein the determination of the priority comprises predicting the one or more second parameters associated with the employee for the first electronic message based on the one or more second data structures. The method further includes transmitting the first electronic message to the employee based on the determined priority of the first electronic message.

Abstract: The present disclosure is directed to systems and methods for context-aware and personalized access to data corresponding to an event. The data is related to multiple predefined parameters including a location, date, time, and a classifier representing a status or an impact intensity for the event. The method includes receiving the data and an event type for the data. The event type is selected from multiple predefined event types. The method also includes creating a hierarchical data structure configured to spatially index the data based on the selected event type. The hierarchical data structure includes a node representing the selected event type. The node is augmented using a linked list for referring to the data to be stored in a database. The node is associated with a frequency of occurrence of the selected event type.