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公开(公告)号：US10936705B2
公开(公告)日：2021-03-02
申请号：US15799563
申请日：2017-10-31
申请人： Baidu USA LLC
发明人： Zhebin Qiu , Tao Wei , Zhenyu Zhong
摘要： Embodiments of the present disclosure disclose an authentication method, an electronic device, and a computer-readable program medium. A specific embodiment of the method comprises: acquiring multimedia input information of a user in response to receiving an authentication request from the user; parsing the multimedia input information to obtain a parsing result; authenticating the user based on the parsing result; and transmitting an authentication result to the user; wherein the multimedia input information includes human face video input information and voice input information of the user; and the parsing result includes at least two of: biometric feature information of the user, voice content information, and behavior feature information of the user. The embodiments may lower a risk that a hacker forges the information for authentication inputted by the user.
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公开(公告)号：US20220289253A1
公开(公告)日：2022-09-15
申请号：US17824686
申请日：2022-05-25
申请人： Baidu USA LLC
发明人： Zhisheng Hu , Shengjian Guo , Xinyang Zhang , Zhenyu Zhong
摘要： A method for evaluating an autonomous driving system, an apparatus, and a storage medium are provided. The method includes: determining an attack or a defense, where the attack is a first input configured to increase an error rate of a component of the autonomous driving system, and the defense is a second input configured to decrease the error rate; simulating a driving scenario of a vehicle, where the driving scenario includes a driving environment and a vehicle configuration; applying the attack or the defense on at least one of the autonomous driving system, or the driving scenario; generating, by the autonomous driving system based on the driving scenario, an instruction of controlling a traveling of the vehicle in the driving scenario; simulating the traveling of the vehicle in the driving scenario based on the instruction; and determining an evaluation result based on a traveling result of the vehicle.
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公开(公告)号：US11756288B2
公开(公告)日：2023-09-12
申请号：US17569232
申请日：2022-01-05
申请人： BAIDU USA LLC
发明人： Xinyang Zhang , Zhisheng Hu , Zhenyu Zhong
IPC分类号： G06K9/00 , G06V10/774 , G06T5/50
CPC分类号： G06V10/7747 , G06T5/50 , G06T2207/10048 , G06T2207/20081 , G06T2207/20084 , G06T2207/20221
摘要： The present disclosure provides an image processing method and apparatus, an electronic device and a storage medium, which relate to the field of computer technology, and more particularly to artificial intelligence technology including computer vision, deep learning and the like. The image processing method includes: recognizing the image to be processed to determine attribute information of each object included in the image to be processed; determining a target thermal image to be recognized according to the attribute information of each object and the image to be processed; reconstructing the target thermal image to generate a first reconstructed image; and determining whether the image to be processed includes an object of a preset class according to a difference between the first reconstructed image and the target thermal image.
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公开(公告)号：US11138964B2
公开(公告)日：2021-10-05
申请号：US16659550
申请日：2019-10-21
申请人： Baidu USA LLC
发明人： Wei Ping , Zhenyu Zhong , Yueqiang Cheng , Xing Li , Tao Wei
IPC分类号： G10L13/047 , G10L25/30 , G10L19/018
摘要： According to various embodiments, an end-to-end TTS framework can integrate a watermarking process into the training of the TTS framework, which enables watermarks to be imperceptible within a synthesized/cloned audio segment generated by the TTS framework. The watermarks added in such a matter are statistically undetectable to prevent authorized removal. According to an exemplary method of training the TTS framework, a TTS neural network model and a watermarking neural network mode in the TTS framework are trained in an end to end manner, with the watermarking being part of the optimization process of the TTS framework. During the training, neuron values of the TTS neural network model are adjusted based on training data to prepare one or more spaces for adding a watermark in a synthesized audio segment to be generated by the TTS framework.
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公开(公告)号：US11216699B2
公开(公告)日：2022-01-04
申请号：US16440962
申请日：2019-06-13
申请人： Baidu USA LLC
发明人： Yunhan Jia , Zhenyu Zhong , Yulong Zhang , Tao Wei
IPC分类号： G06K9/00 , G06K9/62 , G06F16/55 , G06F16/535
摘要： Embodiments of the disclosure disclose a system to mitigate against adversarial input samples for machine learning (ML)/artificial intelligence (AI) models. According to one embodiment, a system receives a query from a client for a ML service. The system calculates a similarity score for the query based on a number of prior queries received from the client, the similarity score representing a similarity between the received query and the prior queries. The system determines that the query is an adversarial query in response to determining that the similarity score is above a predetermined threshold.
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公开(公告)号：US10990855B2
公开(公告)日：2021-04-27
申请号：US16440973
申请日：2019-06-13
申请人： Baidu USA LLC
发明人： Yunhan Jia , Zhenyu Zhong , Yulong Zhang , Tao Wei
摘要： In one embodiment, a system receives a first image captured by a capturing device of an ADV. The system applies an image transformation to the first image to generate a second image. The system applies an object detection model to the first and the second images to generate a first and a second output, respectively. The system calculates a similarity metric between the first and the second output. The system detects the first image as an adversarial sample if a temporal variation of the similarity metric between the first image and a prior image is above a threshold.
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