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Yulong Zhang, 35Sunnyvale, CA

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Yulong Zhang Photo 34

Director And Senior Staff Engineer

Location:
Milpitas, CA
Industry:
Computer & Network Security
Work:
Baidu Usa
Principal Research Scientist
Baidu Usa Oct 1, 2015 - Sep 2018
Senior Staff Security Scientist
Fireeye, Inc. Aug 2013 - Oct 2015
Staff Research Scientist
Uc Berkeley Jan 2013 - May 2013
Visting Researcher
Ant Group Jan 2013 - May 2013
Director and Senior Staff Engineer
Education:
Virginia Commonwealth University 2011 - 2012
Master of Science, Masters, Computer Science
Peking University 2006 - 2010
Bachelors, Bachelor of Science, Electronics
University of Michigan
Bachelors, Bachelor of Science
Stanford University
Skills:
Xen, Qemu, Bochs, Simnow, Coreboot, Seabios, C/C++, Matlab, Verilog, Assembly, Sql, Php, Eclipse, Java, C++, Linux/Unix, Android, Computer Security, Mobile Security, Algorithms, Latex, Machine Learning, Operating Systems, Python, Cloud Security, Perl, Programming, Linux
Interests:
Security and Privacy
Yulong Zhang Photo 35

Yulong Zhang

Publications & IP owners

Us Patents

Vulnerability Driven Hybrid Test System For Application Programs

US Patent:
2020039, Dec 17, 2020
Filed:
Jun 17, 2019
Appl. No.:
16/443619
Inventors:
- Sunnyvale CA, US
Yulong ZHANG - Sunnyvale CA, US
Tao WEI - Sunnyvale CA, US
International Classification:
G06F 21/57
G06F 11/36
G06F 8/41
Abstract:
According to one embodiment, a system receives an intermediate result generated by a compiler based on source code, where the intermediate result includes one or more vulnerability indicators indicating one or more lines of the source code being potentially vulnerable. The system performs a grey box fuzzing on a first executable code generated from the intermediate result to generate a first set of seed inputs. The system calculates a vulnerability score for each of the seed inputs of the first set based on the vulnerability indicators for the lines of the source code reachable but has not been explored by the grey box fuzzing. The system selects one of the seed inputs in the first set having a highest vulnerability score. The system performs a concolic execution using the selected seed input as priority, the concolic execution being performed on a second executable code generated from the intermediate result.

System To Mitigate Against Adversarial Samples For Ml And Ai Models

US Patent:
2020039, Dec 17, 2020
Filed:
Jun 13, 2019
Appl. No.:
16/440962
Inventors:
- Sunnyvale CA, US
Zhenyu ZHONG - Sunnyvale CA, US
Yulong ZHANG - Sunnyvale CA, US
Tao WEI - Sunnyvale CA, US
International Classification:
G06K 9/62
G06F 16/55
G06F 16/535
Abstract:
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.

Detecting Adversarial Samples By A Vision Based Perception System

US Patent:
2020039, Dec 17, 2020
Filed:
Jun 13, 2019
Appl. No.:
16/440973
Inventors:
- Sunnyvale CA, US
Zhenyu ZHONG - Sunnyvale CA, US
Yulong ZHANG - Sunnyvale CA, US
Tao WEI - Sunnyvale CA, US
International Classification:
G06K 9/62
G06K 9/00
G05D 1/00
G05D 1/02
Abstract:
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.

Tpm-Based Secure Multiparty Computing System Using A Non-Bypassable Gateway

US Patent:
2020035, Nov 12, 2020
Filed:
May 8, 2019
Appl. No.:
16/406797
Inventors:
- Sunnyvale CA, US
Tongxin LI - Sunnyvale CA, US
Yulong ZHANG - Sunnyvale CA, US
Tao WEI - Sunnyvale CA, US
International Classification:
G06F 21/56
H04L 29/06
Abstract:
Embodiments of the disclosure disclose a system to prevent data of a client from leaking to untrusted parties in a multiparty computation environment. According to one embodiment, in response to a request received at a gateway (e.g., a non-bypassable gateway) of a server from a user device of a user over a network to process user data by an execution service, the system sanitizes the user data by scanning the user data for malicious code. The system selects a trusted execution environment (TEE) worker from a number of TEE workers and initiates an execution of the execution service by the selected TEE worker. The system receives execution results from the selected TEE worker. The system transmits the execution results to the user device of the user over the network.

Secure Multiparty Computing Framework Using A Restricted Operating Environment With A Guest Agent

US Patent:
2020025, Aug 6, 2020
Filed:
Jan 31, 2019
Appl. No.:
16/264476
Inventors:
- Sunnyvale CA, US
Yulong ZHANG - Sunnyvale CA, US
Yu DING - Sunnyvale CA, US
Tao WEI - Sunnyvale CA, US
International Classification:
H04L 9/32
Abstract:
According to one embodiment, in response to a request received at a host agent of a server from a user device of a user over a network to process user data, a data processing system launches a restricted operating environment within the server. The system transmits a token representing the request to a guest agent executed within the restricted operating environment, where an executor associated with the token is launched by the guest agent within the restricted operating environment, where the executor, when executed, is configured to process the user data to generate a processing result without accessing an external component external to the restricted operating environment. The system returns the processing result back to the user device.

Token Based Secure Multiparty Computing Framework Using A Restricted Operating Environment

US Patent:
2020025, Aug 6, 2020
Filed:
Jan 31, 2019
Appl. No.:
16/264512
Inventors:
- Sunnyvale CA, US
Yulong ZHANG - Sunnyvale CA, US
Yu DING - Sunnyvale CA, US
Tao WEI - Sunnyvale CA, US
International Classification:
H04L 29/06
Abstract:
According to one embodiment, in response to a request received at a host agent of a server from a user device of a user over a network to process user data, a system transmits a token representing the request to an executor pool having a pool of a number of executors. The system receives by the host agent executable image(s) of an executor from the executor pool, where the executor pool allocated the executor from the pool of executors in response to successfully verifying the token. The system launches a restricted operating environment within the server, including providing the executable image(s) of the executor and the user data to the restricted operating environment. The system executes the executable image(s) of the executor within the restricted operating environment, where the executor, when executed, is to process the user data without accessing an external component external to the restricted operating environment.

Environmentally Friendly Heating Ventilation And Air Conditioning System

US Patent:
2017005, Mar 2, 2017
Filed:
Aug 26, 2016
Appl. No.:
15/248696
Inventors:
Yulong Zhang - Morgan Hill CA, US
Liang Jin - Santa Clara CA, US
International Classification:
F24F 11/08
B64D 13/08
B60H 1/00
F24F 13/28
F24F 11/00
Abstract:
An air circulation system for a building or other enclosed space that includes an heating, venting and air conditioning (HVAC) unit and a first air duct connecting the HVAC unit with the interior of the building. The system also includes a second air duct connecting the exterior of the building with its interior. A fan or secondary unit directs and moves air from outside of the building to inside the building when a controller determines via one or more sensors that an outside condition is preferable to a condition inside the building. The system also may be used in vehicles such as in ground-based vehicles including public transports, and in aircraft.

Amazon

Yulong Zhang Photo 43

Special Rubber And Application (Chinese Edition)

Author:
Zhang Jinsheng Zhang Yulong
Publisher:
Chemical Industry Press
Binding:
Paperback
Pages:
199
ISBN #:
7122104702
EAN Code:
9787122104700
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Yulong Zhang Photo 44

700 Functional Adhesive Formulations (Chinese Edition)

Author:
Cai Yuhai Zhang Yulong
Publisher:
Chemical Industry Press
Binding:
Paperback
Pages:
199
ISBN #:
7122108317
EAN Code:
9787122108319
Yulong Zhang Photo 45

800 Environment-Protection Adhesive Formulations (Chinese Edition)

Author:
Gao Yang Zhang Yulong
Publisher:
Chemical Industry Press
Binding:
Paperback
Pages:
199
ISBN #:
7122108309
EAN Code:
9787122108302
Yulong Zhang Photo 46

Formulations Selection Of Building Coating (Chinese Edition)

Author:
Zhang Yulong Xu Qinfu
Publisher:
Chemical Industry Press
Binding:
Paperback
Pages:
199
ISBN #:
7122106322
EAN Code:
9787122106322
Yulong Zhang Photo 47

Plastic Varieties And Selection (Chinese Edition)

Author:
Zhang Yulong Shi Lei
Publisher:
Chemical Industry Press
Binding:
Paperback
Pages:
351
ISBN #:
7122123014
EAN Code:
9787122123015
Yulong Zhang Photo 48

Rubber Varieties And Selection (Chinese Edition)

Author:
Zhang Yulong Li Ping
Publisher:
Chemical Industry Press
Binding:
Paperback
Pages:
359
ISBN #:
7122121844
EAN Code:
9787122121844
Yulong Zhang Photo 49

Pragmatic General Plastics Handbook Zhang Yulong. Shi Lei(Chinese Edition)

Author:
ZHANG YU LONG SHI LEI ZHU BIAN
Publisher:
Machinery Industry
Binding:
Paperback
ISBN #:
7111388585
EAN Code:
9787111388586
Yulong Zhang Photo 50

Spore Morphology Of Chinese Pteriodophytes

Author:
Zhang Yulong
Publisher:
Science Pr
Binding:
Hardcover
Pages:
598
ISBN #:
7030002091
EAN Code:
9787030002099

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