Zhejiang University

Advanced New Technologies Co., Ltd.

Alibaba Group Holding Limited

Hangzhou Hikvision Digital Technology Co., Ltd.

Alipay (Hangzhou) Information Technology Co., Ltd.

Chao Li

Yinfei Zheng

Wei Wang

Bin Wang

Dong Jiang

Peng Wu

Jiming Chen

Tao Chen

Hong Jin

Yihui Feng

Xing Wang

Kezhang Lin

Yu Liu

Shibo He

Hua Zhao

Peng Cheng

Yangyu Tao

Lijie Zhang

Siyi Jiang

Mincheng Wu

Chunjie Dong

Ruiwei Yu

Hailin Luo

Weixing Hou

Yongjun Wu

Fengyun Shuai

Li Wan

Zhipeng Tang

Xiaohong Guan

Haonan Yan

Trusted measurement methods and trusted computing nodes for improving credibility of trusted platform control module (TPCM) are provided. The method comprises, after a measurement request is initiated, signing, by a first secure and trusted execution environment, the measurement request by using a private key of the first security certificate to obtain a measurement request data packet including a signature, and sending the measurement request data packet to a trusted measurement agent; forwarding, by the trusted measurement agent, the measurement request data packet to a second secure and trusted execution environment; and performing, by the second secure and trusted execution environment, signature verification on the measurement request data packet by using a public key of the first security certificate, obtaining measurement data of a target protection object after the signature verification succeeds, signing the measurement data by using a private key of the second security certificate to obtain a measurement data packet including a signature, and sending the measurement data packet to the trusted measurement agent; and forwarding, by the agent, the measurement data packet to the TPCM, and performing, by the TPCM, signature verification on the measurement data packet by using a public key of the second security certificate, and performing trusted measurement on the target protection object based on the measurement data after the signature verification succeeds.

Computing devices and trusted computing nodes for improving credibility of trusted platform control module

A systematic security protection method for a multimodal AI model is provided. The method comprises: in a security detection stage of the target multimodal AI model, according to a perceptual distance between detection data and original data determined by a trained distance-aware judgment model, obtaining detection data whose perceptual distance from the original data meets a requirement, and detecting the target multimodal AI model by using the detection data; in a case that the detection result in the detection stage is that the target multimodal AI model has a security problem, on one hand, performing security coding protection and tokenization filtering on the input of the model, on the other hand, performing multi-dimensional omnidirectional evaluation on the multimodal AI model.

Systematic security protection method for multimodal AI model, apparatus and device

Disclosed in the present invention is a contact tracing pre-screening method for infectious disease susceptible people based on WiFi matching. In the method, based on WiFi connection records of a user and a list of anonymous identification codes of confirmed users collected by a mobile device, a judgment on whether a user has an infection risk is given through the steps of record matching, information compression, dangerous WiFi database construction, coincidence rate calculation between the user and a dangerous WiFi, etc. Data required by this method is easy to be obtained for general smart mobile devices, and no special application program is required. Compared with traditional contact tracing methods based on GPS and Bluetooth, this method provides another dimension of information without using an additional device and sensitive data, has higher operating efficiency, and can help to carry out contact tracing more comprehensively and efficiently.

Contact tracing pre-screening method for infectious disease susceptible people based on WiFi matching

A sublingual microcirculation detection device and a sublingual microcirculation detection system are provided. The sublingual microcirculation detection device includes a base, a first side wall structure, a second side wall structure, an ultrasonic probe, a saliva brush, a plurality of near-infrared lamps, a camera, a main controller on a side surface of the base, and a probe handle fixed to a top surface of the base. The first and second side wall structures are fixed to a bottom surface of the base. The ultrasonic probe is arranged on the first side wall structure, and the saliva brush is arranged on the second side wall structure. The plurality of near-infrared lamps and the camera are arranged on the bottom surface of the base; and the main controller is electrically connected to the plurality of near-infrared lamps, the camera, and the ultrasonic probe.

Sublingual microcirculation detection device, sublingual microcirculation detection system and processing method thereof

A method for ultrafast compound plane wave imaging based on a broadband acoustic metamaterial: controlling the transmit-receive ultrasonic probe to emit an ultrasonic signal at a preset transmit frequency and a first preset transmit angle, the preset transmit frequency is equal to a response frequency of the acoustic metamaterial structure; controlling the transmit-receive ultrasonic probe to receive, at a preset receive frequency and separately at a first preset receive angle, a second preset receive angle, a third preset receive angle, echo signals reflected by a measured object, where the preset receive frequency is n times the preset transmit frequency, the first preset receive angle is equal to the first preset transmit angle, the second preset receive angle is smaller than the first preset transmit angle, the third preset receive angle is larger than the first preset transmit angle; using the echo signals to reconstruct an image of the measured object.

Method for ultrafast compound plane wave imaging based on broadband acoustic metamaterial

A method for identifying identity information includes: acquiring user data, the user data including identity information and account information of a user; establishing an association relationship between account information and identity information that are bound in the user data, and establishing an association relationship between two pieces of account information having common features in the user data; and determining a risk value of target identity information in the user data according to the established association relationships, and determining, according to the determined risk value, whether the target identity information has a risk of being used fraudulently.

Method and apparatus for identifying identity information

Methods, systems, and apparatus, including computer programs encoded on computer storage media, for payment services are provided. One of the methods includes: receiving a payment request, the payment request containing a user identifier and operation data generated in a current transaction corresponding to the user identifier; determining, according to the operation data, at least one operation hopping sequence in the current transaction, the operation hopping sequence containing at least one operation hopping event; obtaining, from a set of risk parameters corresponding to the user identifier, a risk parameter corresponding to the operation hopping event in the operation hopping sequence, risk parameters in the set of risk parameters being obtained by adjusting risk parameters used for risk identification in a previous transaction according to operation data generated in the previous transaction corresponding to the user identifier; and adjusting the obtained risk parameter according to the at least one operation hopping sequence.

Method for adjusting risk parameter, and method and device for risk identification

There is provided a method and a system for processing a communication channel. Including a heartbeat channel and a data channel between a master process and a worker process. The method includes determining at least one data channel associated with a heartbeat channel, detecting the determined at least one data channel, disconnecting the heartbeat channel when it is detected that any data channel is in a disconnected state to cause a heartbeat to time out, and ending a current task after it is determined that the heartbeat times out.

Method and system for processing communication channel

Growing community of inventors

Hangzhou, China

Chao Li