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.

Abstract: A system and process analyze data in an artificial neural network by receiving the data into the artificial neural network, and functionally encrypting the data at a plurality of inner input nodes in the artificial neural network. The functionally encrypted data are processed in the artificial neural network, and an output is generated from the processing of the functionally encrypted data in the artificial neural network.

Abstract: One embodiment provides a method, the method including: detecting, at an information handling device utilizing a input detection system and while the information handling device is in a low power state, a physical user input at an input mechanism of the information handling device, wherein the detecting comprises detecting a force at the input mechanism; determining, utilizing the input detection system, the physical user input comprises a request to power-on the information handling device; and powering on the information handling device. Other aspects are claimed and described.

Abstract: The integrity of a data file that is transmitted from a sender to a receiver is validated. An initial seed is calculated using key material from the sender and the receiver, and random source data. The initial seed is provided to a deterministic random number generator. The deterministic random number generator executes a plurality of times, thereby generating a plurality of random values. A plurality of blocks in the data file is selected as a function of the random values, and a hash value for each of the plurality of blocks is generated. The integrity of the data file is then validated by comparing the hash value for each of the plurality of blocks of the sender to the hash value for each of the plurality of blocks of the receiver.

Abstract: A secure information storage and retrieval system and method receive a prompt, and tokenize the prompt, and output a response responsive to the prompt, where the response includes designated content responsive to the prompt including a designated trigger. The designated content can be sensitive information stored in the weights of a large language model (LLM).

Abstract: Users in an artificial intelligence (AI) system are associated with a tenant in a large language model (LLM). The tenant is associated with a particular execution thread in the LLM. The particular execution thread includes branches, and each branch associated with its own branch encryption key. The tenant is associated with one or more AI policies in the LLM. Updates related to the tenant are associated with changes to the LLM in a particular branch of the plurality of branches in the particular execution thread. A core file system in the AI system is associated with a file encryption key. The file encryption key and the branch encryption key are used to aggregate, from a root of the particular branch to a specific leaf of the particular branch, each of multiple subbranches of the particular branch, thereby generating a tenant specific virtual LLM model.

Abstract: A system management application includes program instructions for monitoring performance of a process running on a compute node of a computing system and providing a plurality of permission rules to be implemented by a fine-grain control system running on the compute node. Each permission rule instructs the fine-grain control system to permit or deny the process with access to specific resources. Access error data is received from the compute node identifying an access error indicating that the process was denied access to a specific resource by the fine-grain control system. The access error data is provided to an artificial intelligence model that has been trained to generate permission rules and an update of the permission rules is generated, wherein the update permits the process to access the specific resource. The update is then provided to the fine-grain control system.

Abstract: A system to determine path trajectory using functional encryption receives training data relating to the path trajectory (610), and functionally encrypts the training data, thereby creating first function values that comprise no private user data (620). The system extracts features from the first function values (630), and uses the features to train a machine learning algorithm (640). The system then receives test data relating to the path trajectory (650), and functionally encrypts the test data, thereby creating second function values that comprise no private user data (660). The system provides the second function values to the trained machine learning algorithm (670), and provides a prediction or a decision relating to the path trajectory based on the second function values.

Abstract: A human interface device (HID) such as a keyboard or a mouse receives data, the HID cryptographically signs the data using a private key of a first user. The HID generates a report using the cryptographically signed data, and transmits the report to a processor for use in authenticating that the data were input by a human.

Abstract: A computer implemented method includes receiving a prompt and generating a query based on the prompt. A first data source having original data with different classifications is accessed to obtain first data source data responsive to the query. The obtained first data source data is processed to generate curated data. The curated data and prompt is provided to a large language model. A first language response is received from the large language model based on the curated data and the prompt.

Abstract: A computer implemented method includes receiving a prompt from a requestor for a large language model, the prompt including a request and a key identifier. The request is processed via a large language model to generate a response. The key identifier is also processed via the large language model to retrieve a signature key. The signature key may be used to sign the response to generate a signature, which may be sent along with the response to the requestor. Shards of the signature key may be spread over the large language model and accessed via the key identifier. A threshold number of signature key shards may be received to enable retrieval of the signature key.

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: Apparatuses, methods, and systems are disclosed for heat-based authentication. 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 capture a thermal image of an object placed within a heated environment, identify at least one characteristic of the object based on the thermal image, and determine an authenticity of the object based on the at least one characteristic.