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Emily Wenger is an Assistant Professor in the Department of Electrical and Computer Engineering at Duke University. She earned her Bachelor of Science degree from Wheaton College in 2016 and went on to receive both her Master of Science and Ph.D. from the University of Chicago in 2020 and 2023, respectively. Her research focuses on Trustworthy Computing, investigating how machine learning approaches can be employed to enhance security measures and address vulnerabilities in computational systems. Emily has contributed to numerous significant publications in the field of computer science, particularly in areas related to machine learning attacks. She has effectively demonstrated the risks associated with AI-generated data and has explored advanced topics such as lattice cryptography and neural network defenses against adversarial attacks. Emily is involved in teaching various courses, including special readings in electrical engineering and advanced topics in electrical and computer engineering. Her work emphasizes both theoretical understanding and practical applications in cybersecurity, making her a prominent figure within her academic community.
Department of Biomedical Engineering (MS program)