公开(公告)号：US20240338197A1

公开(公告)日：2024-10-10

申请号：US18393733

申请日：2023-12-22

Applicant: Intel Corporation

Inventor： Dan HOROVITZ ,  Igor METRIK ,  Omer BEN-SHALOM ,  Ilil BLUM SHEM-TOV ,  Ofer RIVLIN

IPC: G06F8/65 ,  G06F8/61

CPC classification number: G06F8/65 ,  G06F8/62

Abstract: A method and apparatus for anti-rollback protection for a non-persistent software in a system. A software install package includes a main version of software and a fallback version of the software. The fallback version of the software includes a vulnerable versions list that includes a list of vulnerable versions of the software determined up to a release date of the fallback version of the software. The fallback version of the software is stored in the system. The main version of the software is installed if the main version of the software is not listed in the vulnerable versions list. The fallback version may be updated automatically if the new fallback version higher than the existing fallback version is received. The fallback version is stored in a fallback versions' repository by an operating system or installer. The fallback version may include an allowed versions list.

公开(公告)号：US20250094878A1

公开(公告)日：2025-03-20

申请号：US18971060

申请日：2024-12-06

Applicant: Intel Corporation

Inventor： Ofer RIVLIN ,  Mor UZIEL ,  Dan HOROVITZ ,  David BIRNBAUM

IPC: G06N20/00

Abstract: It is provided a non-transitory computer-readable medium storing instructions that, when executed by one or more processing circuitries of an apparatus, causing the one or more processing circuitries to perform locally on the apparatus a method. The method includes obtaining a pretrained machine learning model by the apparatus. The method further includes generating training data based on user-related information. The user-related information relating to a user behavior during interaction of the user with the apparatus. The method further includes training the pretrained machine learning model based on the generated training data by the apparatus to obtain a personalized machine learning model. The method further includes executing the personalized machine learning model by the apparatus.

公开(公告)号：US20240340161A1

公开(公告)日：2024-10-10

申请号：US18531786

申请日：2023-12-07

Applicant: Intel Corporation

Inventor： Ofer RIVLIN ,  Dan HOROVITZ

IPC: H04L9/08 ,  H04L9/00 ,  H04L9/32

CPC classification number: H04L9/0825 ,  H04L9/008 ,  H04L9/3236

Abstract: It is provided an apparatus comprising interface circuitry, machine-readable instructions, and processing circuitry to execute the machine-readable instructions. The machine-readable instructions comprise instructions to encrypt data of a first agent with a homomorphic public key. The first agent is connected to a network. The machine-readable instructions further comprise instructions to transmit the encrypted data of the first agent and the homomorphic public key to a server and to request data from the server, the requested data comprising a reference value for the data of the first agent. The reference value is based on the data of the first agent and on the data of one or more second agents, the one or more second agents are connected to the network. The machine-readable instructions further comprise instructions to receive the requested data from the server. The requested data is encrypted with the homomorphic public key.