Abstract: In one aspect, a device includes a processor system and storage accessible to the processor system. The storage includes instructions executable by the processor system to track user inputs as a user interacts with a first graphical user interface (GUI) presented on a display. The instructions are also executable to execute a prediction model to identify a near-repetitive action from the user inputs. Based on the identification of the near-repetitive action, the instructions are executable to present a foreshadow action on the display. The foreshadow action is selectable to command the processor system to autonomously perform a real action corresponding to the foreshadowed action.

Abstract: One embodiment provides a method, the method including: receiving, at a data storage device, an input instructing that data on the data storage device is to be made inaccessible; and initializing, on the data storage device, a sector mapping and relocation table, wherein the initializing includes mapping all sectors of the sector mapping and relocation table to fake data. Other aspects are claimed and described.

Abstract: One embodiment provides a method, the method including: transmitting, from an intermediary device, a set of encryption keys corresponding to the third device to the second device, wherein the second device is trusted by the intermediary device and wherein the intermediary device is trusted by the third device; receiving, at the intermediary device from the third device, an ephemeral set of encryption keys and an encapsulated secret; receiving, at the intermediary device from the second device, a data payload including encrypted content and a key corresponding to the second device, wherein the encrypted content is encrypted by the second device using an encryption key corresponding to the second device and a key of the set of encryption keys corresponding to the third device and the encapsulated secret; and transmitting, from the intermediary device to the third device, the data payload, wherein the transmitting includes signing, by the intermediary device, the data payload.

Abstract: One embodiment provides a method, the method including: receiving, at an identity verification system, a corpus of content corresponding to an individual, wherein the corpus of content is indicative of authorship characteristics of the individual; creating, using the identity verification system, an individual artificial intelligence model that is trained using the corpus of content and that is configured to be used to verify authorship of secondary content that is separate from the corpus and purported as being authored by the individual; and determining, using the individual artificial intelligence model, whether a received secondary content is authentic with respect to the individual. Other aspects are claimed and described.

Abstract: One embodiment provides a method, the method including: receiving, from a device of a user, a request to register a second device with a computing system, wherein the second device includes at least one post-quantum cryptography key corresponding to the computing system; generating, at the computing system, a registration token for the second device, wherein the registration token includes a random string of characters and is encapsulated using at least one post-quantum cryptography key corresponding to the second device; transmitting, from the computing system, the registration token to the device of the user, wherein the device of the user transmits the registration token to the second device; and validating, at the computing system, a registration response received at the computing system from the device of the user, wherein the registration response is generated by the second device and transmitted to the device of the user.

Abstract: One embodiment provides a method, the method including: receiving, at an artificial intelligence model of a data recovery system, data of a data storage medium including incomplete stored data; identifying, using the data recovery system, gaps in the data of the data storage medium; and generating, using the artificial intelligence model, a set of data corresponding to a more complete set of the incomplete stored data by adding data predictions, generated by the artificial intelligence model, for the gaps in the data to the incomplete stored data. Other aspects are claimed and described.

Abstract: An electronic system and method detect orientations of display devices of an electronic system, and determine an orientation mode of the display devices. The system and method identify one or more software applications presenting information on at least one of the display devices. Electronically controlled privacy filters in the display devices are individually activated or deactivated in the at least one of the display devices to alter opacity of the displayed information based on one or more of the orientations of the display devices and/or the one or more software applications.

Abstract: A method, of operating a display of a computing system, includes: identifying a focused region and a non-focused region of an original image; transforming color values of pixels in the non-focused region from a full color gamut of the display to a power reduced color gamut; generating a remapped image by remapping the non-focused region of the original image with the transformed color values; and outputting the remapped image on the display with the full color gamut in the focused region and the power reduced color gamut in the non-focused region.

Abstract: In one aspect, an apparatus includes a processor system and storage accessible to the processor system. The storage includes instructions executable by the processor system to determine one or more first capabilities of a first model executable on a first device connected to a network, and to determine one or more second capabilities of a second model executable on a second device connected to the network. The instructions are also executable to, based on the determinations, assign a first task to the first model to address a query and assign a second task to the second model to address the query. The instructions are then executable to coordinate the first and second tasks to respond to the query. In some examples, the instructions may also be executable to deconstruct the query into the first and second tasks to then assign the tasks based on both the determinations and the deconstruction.

Abstract: In one aspect, large language models (LLMs) are used to evaluate static application security testing (SAST) results from a SAST tool that is run on software under test. A software vulnerability report is then generated based on one or more outputs from the LLM(s), with the outputs indicating levels of confidence in the respective SAST results being actual positives. In this way, false positives from the SAST results can be eliminated or deprioritized, providing technological improvements in pre-deployment software testing and validation.

Abstract: A method can include receiving sensed feature data of an ear via a sensor coupled to a head wearable device; comparing at least a portion of the sensed feature data to stored feature data in memory operatively coupled the head wearable device via a processor operatively coupled to the head wearable device; and, based at least in part on the comparing, authenticating an identity of a user of the head wearable device.

Abstract: In one aspect, a system is implemented for large language model (LLM) protection through end-to-end cryptography broadcasting protocols. The system uses an elliptic-curve cryptography (ECC) broadcast schema and post-quantum module lattice-based key encapsulation mechanism (ML-KEM) encapsulation for LLM file distribution. The system can include one or both of the client device(s) and cloud-based server(s) that communicate with each other for download of the LLM files to the client device(s).

Abstract: One embodiment provides a method, the method including: receiving, at a tamper detection system, a machine-readable capture of tape located on a package, wherein the tape includes at least two blocks of machine-recognizable characters generated utilizing at least one cryptographic technique, wherein the at least one cryptographic technique is used to generate a non-repeating signature having a length greater than a length of the tape; comparing, using the tamper detection system, the at least one block of machine-recognizable characters captured during the machine-readable capture of the tape on the package the non-repeating signature; and performing, using the tamper detection system, an action based upon a result of the comparing. Other aspects are claimed and described.

Abstract: One embodiment provides a method, the method including: receiving, at a tamper detection system, a machine-readable capture of tape located on a package, wherein the tape includes at least two blocks of machine-recognizable characters generated utilizing at least one cryptographic technique, wherein the at least one cryptographic technique is used to generate a non-repeating signature having a length greater than a length of the tape; comparing, using the tamper detection system, the at least one block of machine-recognizable characters captured during the machine-readable capture of the tape on the package the non-repeating signature; and performing, using the tamper detection system, an action based upon a result of the comparing. Other aspects are claimed and described.

Abstract: Apparatuses, methods, and program products are disclosed for producing synthetic fake data. One apparatus includes at least one processor and a memory that stores code executable by the at least one processor. The code is executable by the processor to receive, by use of the at least one processor, real data to be protected. The code is executable by the processor to add noise to the real data to produce synthetic fake data. The code is executable by the processor to encrypt the synthetic fake data using an encryption key.

Abstract: One embodiment provides a method, the method including: identifying, using a device customization system, an image to be imprinted onto a surface of a device, wherein the surface of the device is coated with a layer of phase-change paint; identifying, using the device customization system, portions of the image; and generating imprinting instructions and transmitting the imprinting instructions toan imprinting component of the device customization system, wherein generating the imprinting instructions includes assigning each of the identified portions of the image with a color that is enabled by the phase-change paint, and wherein the imprinting instructions are configured to cause the imprinting component to imprint the image onto the surface of the device by affecting the phase-change paint based upon the colors that are assigned to the portions of the image. Other aspects are claimed and described.

Abstract: A camera device and method are described that perform object detection on sensor data generated by an image sensor to detect an input device within an environment outside of the camera device. The camera device and method analyze the sensor data to detect a hand of a user within the environment, and determine an impending use of the input device by the user based on a proximity of the hand to the input device and/or movement of the hand. Responsive to determining the impending use, the camera device and method generate an image data stream that includes altered image content within an area of interest that encompasses in the input device. The altered image content is not an accurate representation of the hand manipulating the input device in the environment, thereby precluding capture of manual data entry in the image data stream.

Abstract: A system for monitoring a user of a primary electronic device is provided that includes a primary electronic device having a memory to store executable instructions and one or more processors. When implementing the executable instructions, the one or more processors can be configured to obtain electronic device context data, detect a presence of at least one secondary electronic device in a controlled environment of the primary electronic device based on the electronic device context data, identify the at least one secondary electronic device as a rogue secondary electronic device, and implement a remedial action based on at least one of the electronic device context data or identifying the at least one secondary electronic device as the rogue secondary electronic device.

Abstract: A method, of operating a display of a computing system, includes: identifying a focused region and a non-focused region of an original image; transforming color values of pixels in the non-focused region from a full color gamut of the display to a power reduced color gamut; generating a remapped image by remapping the non-focused region of the original image with the transformed color values; and outputting the remapped image on the display with the full color gamut in the focused region and the power reduced color gamut in the non-focused region.

Abstract: Apparatuses, methods, and systems are disclosed for techniques for an overhead camera. An apparatus includes a processor and a memory that stores code that is executable by the processor. The code is executable by the processor to receive hinge position data from at least one hinge sensor, receive orientation data from at least one orientation sensor, and enable at least one camera in an overhead camera mode based on the hinge position data and the orientation data.