公开(公告)号：US20180205353A1

公开(公告)日：2018-07-19

申请号：US15792054

申请日：2017-10-24

Applicant: Intel Corporation

Inventor： OLEG POGORELIK

IPC: H03G3/32 ,  G10L21/0316

Abstract: Generally, this disclosure provides systems, devices, methods and computer readable media for an audio device with noise interference mitigation capability. The audio device may include an interference detection module to detect an interfering voice audio signal received from an interfering audio source. The device may also include an interference identification module to identify the interfering audio source. The device may further include an impact estimation module to estimate an impact of the interfering voice audio signal on a user of the audio device and a communication module to transmit a volume correction request to the interfering audio source. The volume correction request may be based on the identification and the estimated impact. Other embodiments may be described and claimed.

公开(公告)号：US20190220578A1

公开(公告)日：2019-07-18

申请号：US16361515

申请日：2019-03-22

Applicant: Intel Corporation

Inventor： OLEG POGORELIK ,  SHEFY GUR-ARY ,  ADIR ABRAHAM ,  DAVID ALHANATI ,  ANGELO MOSCATI ,  ALEX NAYSHTUT ,  DENIS DENIS

IPC: G06F21/16 ,  G06T1/00

CPC classification number: G06F21/16 ,  G06F2221/0733 ,  G06T1/0021

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.

公开(公告)号：US20210319098A1

公开(公告)日：2021-10-14

申请号：US17254235

申请日：2019-04-23

Applicant: INTEL CORPORATION

Inventor： OLEG POGORELIK ,  ALEX NAYSHTUT ,  OMER BEN-SHALOM ,  DENIS KLIMOV ,  RAIZY KELLERMANN ,  GUY BARNHART-MAGEN ,  VADIM SUKHOMLINOV

IPC: G06F21/55 ,  G06N20/00 ,  G06N5/04

Abstract: Techniques and apparatuses to harden AI systems against various attacks are provided. Among the different techniques and apparatuses, is provided, techniques and apparatuses that expand the domain for an inference model to include both visible classes and well as hidden classes. The hidden classes can be used to detect possible probing attacks against the model.

公开(公告)号：US20220058245A1

公开(公告)日：2022-02-24

申请号：US17453311

申请日：2021-11-02

Applicant: Intel Corporation

Inventor： OLEG POGORELIK ,  SHEFY GUR-ARY ,  ADIR ABRAHAM ,  DAVID ALHANATI ,  ANGELO MOSCATI ,  ALEX NAYSHTUT ,  DENIS KLIMOV

IPC: G06F21/16 ,  G06T1/00 ,  G06F21/62

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.

公开(公告)号：US20190220381A1

公开(公告)日：2019-07-18

申请号：US16368562

申请日：2019-03-28

Applicant: INTEL CORPORATION

Inventor： OLEG POGORELIK ,  ALEXANDRA MANEVITCH ,  RAIZY KELLERMAN

IPC: G06F11/30 ,  G06K9/78 ,  G06K9/62 ,  G06F16/51 ,  G06F11/34 ,  G06N20/00

CPC classification number: G06F11/3058 ,  G06F11/3013 ,  G06F11/3089 ,  G06F11/3447 ,  G06F16/51 ,  G06K9/6263 ,  G06K9/78 ,  G06N20/00

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.