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Safe and Secure Design of Connected and Autonomous Vehicles

Description:

Machine learning-based techniques have shown great promises in perception, prediction, planning, and general decision-making for improving task performance of autonomous driving. Connectivity technology has also presented great potentials in improving the safety and efficiency of transportation systems by providing information beyond the perception and prediction capabilities of individual vehicles. However,...

Keyword:

Connected and Autonomous Vehicle, Safety, and Security

Subject:

Robotics, Computer engineering, and Transportation

Creator:

Liu, Xiangguo

Owner:

Scholarly Digital Publishing

Language:

en

Date Uploaded:

05/31/2023

Date Created:

2023-01-01

Resource Type:

Dissertation

Alternate Identifier:

etdadmin_upload_986836 and http://dissertations.umi.com/northwestern:16608
IMPROVING SECURITY AND ROBUSTNESS OF HARDWARE AND LEARNING SYSTEMS

Description:

Security and robustness are two critical problems in modern computing system. In this disserta- tion, we study these two problems in both hardware system and learning system.Firstly, we discuss the robustness problem in hardware system. Modern microprocessors suffer from significant on-chip variation at the advanced technology nodes. The development of...

Keyword:

Federated Learning, Robustness, Security, Noisy Traning, Circuit Sythesis, and Formal Verfication

Subject:

Computer engineering and Computer science

Creator:

Kong, Shuyu N/A

Owner:

Scholarly Digital Publishing

Language:

en

Date Uploaded:

10/06/2021

Date Created:

2021-01-01

Resource Type:

Dissertation

Alternate Identifier:

http://dissertations.umi.com/northwestern:15770 and etdadmin_upload_845378

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