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Something that excites me in my field...
the breakthrough of deep learning models and structures and new security threat foundings of AI/DL models
Old Dominion University
Trustworthy AI, Deep Learning, machine learning, and its application in image processing and cybersecurity areas
Yan Lu's current research focus is on reliable/trustworthy AI. With AI and deep learning technologies continuing to gain strength and broaden its scope in a wide variety of applications, the reliability of AI technology has become an undeniable rising security issue and the verification of AI/ML models has become an exceedingly critical piece in many systems.
Lu's research aims to better support the sustainability of the growth of AI and deep learning models, identify and mitigate potential cyber risks at every stage of the AI lifecycle, and address the security challenges in major AI and deep learning applications. Lu's research highlights the role of cybersecurity in combating the abuse of such technology and establishing reliable and trustworthy development in the AI field and ultimately offers ways forward to establishing a secure ecosystem for AI across different application domains.
Lu is a research assistant professor in the Virginia, Modeling, Analysis and Simulation Center (VMASC) at Old Dominion University (ODU).
She is a member of Association for Computing Machinery Special Interest Group on Simulation (SIGSIM). She also received the Gene Newman Awards from ODU in 2018.
Lu received her B.S. in computer science from Beijing Jiaotong University in 2004, M.S. in circuit and systems from Chinese Academy of Sciences in 2007, and M.S. in computer science from Virginia Commonwealth University in 2009. She received her Ph.D. in modeling and simulation from Old Dominion University in 2020.