Abstract: Providing optical watermark signals for a visual authentication session by performing at least the following: receive, at an anti-spoof engine, an instruction to perform visual authentication operations for a visual authentication session, generate, with the anti-spoof engine, an optical watermark signal based on receiving the instruction, wherein the optical watermark signal includes at least one optical identifier to authenticate images captured during the visual authentication session, obtain, with the anti-spoof engine, an image source that includes captured images of the visual authentication session, determine, with the anti-spoof engine, whether the image source includes a reflected optical watermark signal, and compare, with the anti-spoof engine, whether the reflected optical watermark signal matches the generated optical watermark signal based on the determination that the image source includes the reflected optical watermark signal.

Abstract: In one example an apparatus comprises a memory and a processor to receive, in an edge node of a secure network, a first file, determine that the first file is addressed to a recipient outside the secure network, and in response to a determination that the first file is addressed to a destination outside the secure network, to generate a watermark that identifies a transmitter of the document, a recipient of the document, and comprises a digital signature of the first file, embed the watermark in the first file to generate a watermarked file, and pass the watermarked file to an input/output system for transmission out of the secure network. Other examples may be described.

Abstract: Methods, apparatus, systems, and articles of manufacture are disclosed to improve computing system utilization. An example system includes a visual recognition controller to determine whether an infrared image of the device corresponds to a first utilization state of the device based on a machine-learning model, and generate a report including the first utilization state, and at least one processor to execute one or more actions to adjust operation of the device from the first utilization state to a second utilization state based on the report obtained from the visual recognition controller, the second utilization state corresponding to reduced utilization compared to the first utilization state.

Abstract: Private delivery drones and methods are disclosed. An example drone includes a first communication interface to receive a first input from a sender representing a delivery area for a payload, a second communication interface to receive a second input from a recipient representing a visual marker of the recipient, the visual marker unknown to the sender, a drone controller to, when the drone reaches the delivery area, visually identify a location in the delivery area to deliver the payload based on the visual marker, and a carrier to deliver the payload to the location.

Abstract: Technologies are described for delivering an active agent using an ingestible pill device, securing medication package content, and monitoring the medication package content. Examples of the technology include using an ingestible pill device to deliver an active agent, where release of the active agent can be based on patient authentication, analyzing sensor data to determine a condition for releasing the active agent, analyzing image data to identify a release point, etc. Examples of the technology also include using a monitoring device to secure a medication package using a cover and locking device, monitoring the medication package to detect access to the medication package, and tracking access to the medication package to determine medication adherence.

Abstract: Described herein are architectures, platforms and methods for offloading process or application from a near field communication (NFC) master device for proxy delegation to a proxy NFC device.

Abstract: Methods and apparatus relating to protecting Artificial Intelligence (AI) payloads running in Graphics Processing Unit (GPU) against main Central Processing Unit (CPU) residing adversaries are described. In an embodiment, memory stores data corresponding to one or more Artificial Intelligence (AI) tasks. The memory comprises at least a shared memory partition and a Graphics Processing Unit (GPU) only memory partition. Logic circuitry performs one or more operations in a protected environment to cause transmission of the stored data from the shared memory partition of the memory to the GPU only memory partition of the memory. The shared memory partition is accessible by both a GPU and a Central Processing Unit (CPU), and the GPU only memory partition is only accessible by the GPU. Other embodiments are also disclosed and claimed.

Abstract: In embodiments, apparatuses, methods, and storage media may be described for identifying a quick response (QR) image. A QR control code (QRCC) may be identified in the QR image based on a QR tag in the image. Based on the QRCC, a control command of an apparatus may be identified. Other embodiments may be described and/or claimed.

Abstract: There is disclosed in an example, a computing apparatus, including: a trusted execution environment (TEE); and one or more logic elements providing a collaboration engine within the TEE, operable to: receive a change to a secured document via a trusted channel; apply a change to the secured document; log the change to a ledger; and display the document to a client device via a protected audio-video path (PAVP). There is also disclosed a method of providing a collaboration engine, and a computer-readable medium having stored thereon executable instructions for providing a collaboration engine.

Abstract: The present disclosure is directed to systems and methods for the selective introduction of low-level pseudo-random noise into at least a portion of the weights used in a neural network model to increase the robustness of the neural network and provide a stochastic transformation defense against perturbation type attacks. Random number generation circuitry provides a plurality of pseudo-random values. Combiner circuitry combines the pseudo-random values with a defined number of least significant bits/digits in at least some of the weights used to provide a neural network model implemented by neural network circuitry. In some instances, selection circuitry selects pseudo-random values for combination with the network weights based on a defined pseudo-random value probability distribution.

Abstract: Providing optical watermark signals for a visual authentication session by performing at least the following: receive, at an anti-spoof engine, an instruction to perform visual authentication operations for a visual authentication session, generate, with the anti-spoof engine, an optical watermark signal based on receiving the instruction, wherein the optical watermark signal includes at least one optical identifier to authenticate images captured during the visual authentication session, obtain, with the anti-spoof engine, an image source that includes captured images of the visual authentication session, determine, with the anti-spoof engine, whether the image source includes a reflected optical watermark signal, and compare, with the anti-spoof engine, whether the reflected optical watermark signal matches the generated optical watermark signal based on the determination that the image source includes the reflected optical watermark signal.

Abstract: A system for authenticating a vehicle includes a processor subsystem; and memory comprising instructions, which when executed by the processor subsystem, cause the processor subsystem to perform the operations comprising: receiving, at a cloud service, vehicle location data describing a location of the vehicle at a first time; receiving attestation data from a witness device, the attestation data corresponding to the first time; producing a validation result by analyzing the vehicle location data and the attestation data to determine whether the location of the vehicle at the first time is consistent with the attestation data; and providing the validation result to a user device for presentation on the user device.

Abstract: A controller may include one or more processors configured to control an automotive operating function representing an operation of an actuator of an automobile; receive a first message in accordance with an automotive fieldbus communication protocol via a fieldbus communication network, wherein the first message comprises contextual information associated with the automobile; determine whether a relation between the contextual information and a status of the automotive operating function fulfills a predefined criterion; generate a second message in accordance with the automotive fieldbus communication protocol, wherein the second message comprises information representing a result of the determination.

Abstract: Techniques for wirelessly charging small power receiving units are disclosed. An example power receiving unit includes a transportation mechanism to enable the power receiving unit to move and a wireless communication system that enables the power receiving unit to communicate with a plurality of other power receiving units. The power receiving unit is a master unit and the other power receiving units are nodes that take commands from the master unit. The power receiving unit also includes a controller to command the nodes to form a composite receive coil over a power transmitting unit and communicate with the power transmitting unit to start a charging session.

Abstract: An example display device for securing graphics outputs includes: a checker to check whether a secure output marker is located in a pre-determined position in graphical information of a digital image; a verifier to verify whether first data in the secure output marker matches actual data in a trusted output area of the digital image; and autonomous indicator control logic to activate a hardware-based trusted output indicator when the first data matches the actual data, the autonomous indicator control logic not accessible by computing applications executing on a system in communication with the display device.

Abstract: A text-only transcription of spoken input from one or more speakers is enhanced with context information that indicate the speakers' states, including physical, emotional, and mental conditions. Context information includes information sensed or otherwise gathered from the speakers' surroundings. The contextual information in the resulting enhanced transcription can facilitate a more accurate understanding of the speakers' intended meaning, and thus avoid misunderstandings that can be detrimental to the relationship between speaker and listener and avoid time consuming activity to rectify misunderstandings.

Abstract: A system and method for reducing blockchain transaction delay are disclosed. The system consists of a trusted coin wallet framework that implements a trusted execution environment to initiate currency transactions between two clients. The trusted coin wallet framework includes an API proxy and a trusted shadow wallet. The method used by the trusted coin wallet framework involves interaction between the trusted shadow wallet and a peer trusted wallet owned by the other client, via the API proxy, from within the trusted execution environment. During these operations, the blockchain infrastructure is independently validating the transaction.

Abstract: There is disclosed in one example a computing apparatus to broker purchase of an item or service between a consumer and seller, including: a hardware platform including a processor; and a memory, including executable instructions to instruct the hardware platform to: receive an encrypted payload including a request from a consumer to purchase the item or service, the encrypted payload including information about the consumer; without exposing the information about the consumer to the seller, determine, based on the seller's availability to sell the item or service and the seller's preferences for selling the item or service, that the request matches the seller's availability and preferences; and send a notification that the seller will sell the item or service.

Abstract: Apparatuses, methods and storage medium associated with traffic sign recognition, are disclosed herein. In some embodiments, an apparatus includes an orchestrator, disposed in a CA/AD vehicle, to receive a classification and a location of a traffic sign, while the CA/AD vehicle is enroute to a destination. In response, the orchestrator query a remote sign locator service or a local database on the CA/AD vehicle for a reference description of the traffic sign, determine whether the classification is correct, and output a result of the determination. The classification of the traffic sign is generated based at least in part on computer vision, and the orchestrator includes an anomaly detector to detect anomalies between the classification and the reference description, and determine whether the classification is correct based at least in part on an amount of anomalies detected. Other embodiments are also described and claimed.

Abstract: Providing secure graphics outputs by performing at least the following: receive secure output data corresponding to a digital image, obtain one or more security keys, create a secure output marker for the secure output data, wherein the secure output marker comprises location information corresponding to a trusted output area of the digital image and data information that represents data content found within the trusted output area of the digital image, encrypt the secure output marker using the one or more security keys, embed the secure output marker within the graphics image to create a trusted graphics image; and render the trusted graphics image for exposure onto the display device.